Alejandro Ribeiro

IEEE Trans. Signal Process., 2024

Stability to Deformations of Manifold Filters and Manifold Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2024

Lie Group Algebra Convolutional Filters.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2024

Tangent Bundle Convolutional Learning: From Manifolds to Cellular Sheaves and Back.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2024

A Networked Multiagent System for Mobile Wireless Infrastructure on Demand.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2024

A reply to Pervez Rizvi's letter.

[BibT_eX]

[DOI]

Digit. Scholarsh. Humanit., 2024

Convolutional Filtering with RKHS Algebras.

[BibT_eX]

[DOI]

Leopoldo Agorio

Juan Andrés Bazerque

CoRR, 2024

GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation.

[BibT_eX]

[DOI]

CoRR, 2024

LoRTA: Low Rank Tensor Adaptation of Large Language Models.

[BibT_eX]

[DOI]

Arnuv Tandon

CoRR, 2024

DiffKillR: Killing and Recreating Diffeomorphisms for Cell Annotation in Dense Microscopy Images.

[BibT_eX]

[DOI]

Chen Liu

Danqi Liao

Marcello DiStasio

Smita Krishnaswamy

CoRR, 2024

ICL-TSVD: Bridging Theory and Practice in Continual Learning with Pre-trained Models.

[BibT_eX]

[DOI]

CoRR, 2024

Generalizability of Graph Neural Networks for Decentralized Unlabeled Motion Planning.

[BibT_eX]

[DOI]

Shreyas Muthusamy

Saurav Agarwal

CoRR, 2024

Constrained Learning for Decentralized Multi-Objective Coverage Control.

[BibT_eX]

[DOI]

CoRR, 2024

Generalization of Geometric Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Constrained Diffusion Models via Dual Training.

[BibT_eX]

[DOI]

Shervin Khalafi

Dongsheng Ding

CoRR, 2024

Generalization of Graph Neural Networks is Robust to Model Mismatch.

[BibT_eX]

[DOI]

CoRR, 2024

Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs.

[BibT_eX]

[DOI]

CoRR, 2024

Distributed Training of Large Graph Neural Networks with Variable Communication Rates.

[BibT_eX]

[DOI]

CoRR, 2024

A Manifold Perspective on the Statistical Generalization of Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Learning to Slice Wi-Fi Networks: A State-Augmented Primal-Dual Approach.

[BibT_eX]

[DOI]

CoRR, 2024

Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks.

[BibT_eX]

[DOI]

Xingran Chen

Shirin Saeedi Bidokhti

CoRR, 2024

Towards a Foundation Model for Brain Age Prediction using coVariance Neural Networks.

[BibT_eX]

[DOI]

Saurabh Sihag

Gonzalo Mateos

CoRR, 2024

Sampling and Uniqueness Sets in Graphon Signal Processing.

[BibT_eX]

[DOI]

CoRR, 2024

LPAC: Learnable Perception-Action-Communication Loops with Applications to Coverage Control.

[BibT_eX]

[DOI]

CoRR, 2024

Opportunistic Communication in Robot Teams.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks.

[BibT_eX]

[DOI]

Shervin Khalafi

Saurabh Sihag

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Loss Shaping Constraints for Long-Term Time Series Forecasting.

[BibT_eX]

[DOI]

Javier Porras-Valenzuela

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Counting Graph Substructures with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Near-Optimal Solutions of Constrained Learning Problems.

[BibT_eX]

[DOI]

Juan Elenter

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Non Commutative Convolutional Signal Models in Neural Networks: Stability to Small Deformations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Unsupervised Optimal Power Flow Using Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Graph Neural Networks are More Powerful than We Think.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

State-Augmented Information Routing In Communication Systems With Graph Neural Networks.

[BibT_eX]

[DOI]

Sourajit Das

Proceedings of the IEEE International Conference on Acoustics, 2024

EGNN-based Topology Control in Wireless Mobile Infrastructure on Demand with Shared Access Restrictions.

[BibT_eX]

[DOI]

Mariana del Castillo

Federico Larroca

Proceedings of the 3rd GNNet Workshop on Graph Neural Networking Workshop, 2024

Resilient Constrained Reinforcement Learning.

[BibT_eX]

[DOI]

Dongsheng Ding

Zhengyan Huan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

"I would I had that corporal soundness": Pervez Rizvi's Analysis of the Word Adjacency Network Method of Authorship Attribution.

[BibT_eX]

[DOI]

Digit. Scholarsh. Humanit., November, 2023

On the sample complexity of actor-critic method for reinforcement learning with function approximation.

[BibT_eX]

[DOI]

Mach. Learn., July, 2023

Constrained Learning With Non-Convex Losses.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, March, 2023

Safe Policies for Reinforcement Learning via Primal-Dual Methods.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., March, 2023

Transferability Properties of Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Convolutional Filters and Neural Networks With Noncommutative Algebras.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Learning Resilient Radio Resource Management Policies With Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Learning by Transference: Training Graph Neural Networks on Growing Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Convolutional Learning on Multigraphs.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Stability of Aggregation Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2023

Learning Graph Structure from Convolutional Mixtures.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Robust Stochastically-Descending Unrolled Networks.

[BibT_eX]

[DOI]

CoRR, 2023

FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

Neural Tangent Kernels Motivate Graph Neural Networks with Cross-Covariance Graphs.

[BibT_eX]

[DOI]

Shervin Khalafi

Saurabh Sihag

CoRR, 2023

Network Alignment with Transferable Graph Autoencoders.

[BibT_eX]

[DOI]

Jiashu He

CoRR, 2023

Learning State-Augmented Policies for Information Routing in Communication Networks.

[BibT_eX]

[DOI]

Sourajit Das

CoRR, 2023

Primal-Dual Continual Learning: Stability and Plasticity through Lagrange Multipliers.

[BibT_eX]

[DOI]

CoRR, 2023

Asynchronous Perception-Action-Communication with Graph Neural Networks.

[BibT_eX]

[DOI]

Saurav Agarwal

CoRR, 2023

Transferability of Convolutional Neural Networks in Stationary Learning Tasks.

[BibT_eX]

[DOI]

Jennifer Bondarchuk

Donald J. Bucci Jr.

CoRR, 2023

A Networked Multi-Agent System for Mobile Wireless Infrastructure on Demand.

[BibT_eX]

[DOI]

CoRR, 2023

Stochastic Unrolled Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features.

[BibT_eX]

[DOI]

CoRR, 2023

Graph Neural Networks for Decentralized Multi-Agent Perimeter Defense.

[BibT_eX]

[DOI]

CoRR, 2023

Active Collaborative Localization in Heterogeneous Robot Teams.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Explainable Brain Age Prediction using coVariance Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Resilient Constrained Learning.

[BibT_eX]

[DOI]

Shubhankar Prashant Patankar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Last-Iterate Convergent Policy Gradient Primal-Dual Methods for Constrained MDPs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Intrinsically Motivated Graph Exploration Using Network Theories of Human Curiosity.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Transferable Hypergraph Neural Networks via Spectral Similarity.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Robust Localization of Aerial Vehicles via Active Control of Identical Ground Vehicles.

[BibT_eX]

[DOI]

IROS, 2023

Automatic Data Augmentation via Invariance-Constrained Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Learning Globally Smooth Functions on Manifolds.

[BibT_eX]

[DOI]

Benjamin David Haeffele

René Vidal

Proceedings of the International Conference on Machine Learning, 2023

Convolutional Filtering on Sampled Manifolds.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Predicting Brain Age Using Transferable Covariance Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Algebraic Convolutional Filters on Lie Group Algebras.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Neural Networks with Quantization Constraints.

[BibT_eX]

[DOI]

Juan Elenter

Proceedings of the IEEE International Conference on Acoustics, 2023

Space-Time Graph Neural Networks with Stochastic Graph Perturbations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Training Graph Neural Networks on Growing Stochastic Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Multi-Task Bias-Variance Trade-Off Through Functional Constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Learning with Multigraph Convolutional Filters.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Tangent Bundle Filters and Neural Networks: From Manifolds to Cellular Sheaves and Back.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Parametric Dictionary Learning for Topological Signal Representation.

[BibT_eX]

[DOI]

Claudio Battiloro

Paolo Di Lorenzo

Proceedings of the 31st European Signal Processing Conference, 2023

Navigation with Shadow Prices to Optimize Multi-Commodity Flow Rates.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Multi-Target Tracking with Transferable Convolutional Neural Networks.

[BibT_eX]

[DOI]

Jennifer Bondarchuk

Donald J. Bucci

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

Convergence of Graph Neural Networks on Relatively Sparse Graphs.

[BibT_eX]

[DOI]

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Solving Large-Scale Spatial Problems with Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Learning Decentralized Wireless Resource Allocations With Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

State-Augmented Learnable Algorithms for Resource Management in Wireless Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Balancing Rates and Variance via Adaptive Batch-Size for Stochastic Optimization Problems.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Wide and Deep Graph Neural Network With Distributed Online Learning.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2022

Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning.

[BibT_eX]

[DOI]

Qingbiao Li

Amanda Prorok

IEEE Trans. Signal Process., 2022

Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2022

Resource Allocation via Model-Free Deep Learning in Free Space Optical Communications.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2022

Policy Gradient for Continuing Tasks in Discounted Markov Decision Processes.

[BibT_eX]

[DOI]

Juan Andrés Bazerque

IEEE Trans. Autom. Control., 2022

Approximately Supermodular Scheduling Subject to Matroid Constraints.

[BibT_eX]

[DOI]

Alexandre Amice

IEEE Trans. Autom. Control., 2022

Model-Free design of control systems over wireless fading channels.

[BibT_eX]

[DOI]

Signal Process., 2022

Spherical convolutional neural networks: Stability to perturbations in SO(3).

[BibT_eX]

[DOI]

Signal Process., 2022

Learning Connectivity-Maximizing Network Configurations.

[BibT_eX]

[DOI]

Daniel Mox

IEEE Robotics Autom. Lett., 2022

EdgeNets: Edge Varying Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

How the Word Adjacency Network (WAN) works.

[BibT_eX]

[DOI]

Digit. Scholarsh. Humanit., 2022

Stable and Transferable Hyper-Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

A State-Augmented Approach for Learning Optimal Resource Management Decisions in Wireless Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Convolutional Neural Networks for Multi-Target Tracking: A Transfer Learning Approach.

[BibT_eX]

[DOI]

Donald J. Bucci Jr.

Jennifer Bondarchuk

CoRR, 2022

Federated Representation Learning via Maximal Coding Rate Reduction.

[BibT_eX]

[DOI]

CoRR, 2022

Navigation of a quadratic potential with ellipsoidal obstacles.

[BibT_eX]

[DOI]

Autom., 2022

Graph Neural Networks for Decentralized Multi-Robot Target Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2022

coVariance Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Lagrangian Duality Approach to Active Learning.

[BibT_eX]

[DOI]

Juan Elenter

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Coverage Control in Multi-Robot Systems via Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

An Agnostic Approach to Federated Learning with Class Imbalance.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Space-Time Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Stability of Neural Networks on Manifolds to Relative Perturbations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Stable and Transferable Wireless Resource Allocation Policies Via Manifold Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Adaptive Wireless Power Allocation with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Training Stable Graph Neural Networks Through Constrained Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Self-Consistency of the Fokker Planck Equation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

Convolutional Neural Networks on Manifolds: From Graphs and Back.

[BibT_eX]

[DOI]

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Graphon Signal Processing.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Algebraic Neural Networks: Stability to Deformations.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Stochastic Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Multi-Task Reinforcement Learning in Reproducing Kernel Hilbert Spaces via Cross-Learning.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Stochastic Policy Gradient Ascent in Reproducing Kernel Hilbert Spaces.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2021

Policy Evaluation in Continuous MDPs With Efficient Kernelized Gradient Temporal Difference.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2021

Approximate Supermodularity of Kalman Filter Sensor Selection.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2021

Stability of graph convolutional neural networks to stochastic perturbations.

[BibT_eX]

[DOI]

Signal Process., 2021

Large Scale Distributed Collaborative Unlabeled Motion Planning With Graph Policy Gradients.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

ROS-NetSim: A Framework for the Integration of Robotic and Network Simulators.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Graph Neural Networks: Architectures, Stability, and Transferability.

[BibT_eX]

[DOI]

Proc. IEEE, 2021

Linear Quadratic Control with Risk Constraints.

[BibT_eX]

[DOI]

Anastasios Tsiamis

CoRR, 2021

Convolutional Filtering and Neural Networks with Non Commutative Algebras.

[BibT_eX]

[DOI]

CoRR, 2021

Stability of Manifold Neural Networks to Deformations.

[BibT_eX]

[DOI]

CoRR, 2021

Increase and Conquer: Training Graph Neural Networks on Growing Graphs.

[BibT_eX]

[DOI]

CoRR, 2021

Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping.

[BibT_eX]

[DOI]

Subhrajit Bhattacharya

CoRR, 2021

Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection.

[BibT_eX]

[DOI]

CoRR, 2021

Sufficiently Accurate Model Learning for Planning.

[BibT_eX]

[DOI]

Clark Zhang

CoRR, 2021

Communications and Robotics Simulation in UAVs: A Case Study on Aerial Synthetic Aperture Antennas.

[BibT_eX]

[DOI]

IEEE Commun. Mag., 2021

Adversarial Robustness with Semi-Infinite Constrained Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Actor-only Deterministic Policy Gradient via Zeroth-order Gradient Oracles in Action Space.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2021

Multi-Robot Coverage and Exploration using Spatial Graph Neural Networks.

[BibT_eX]

[DOI]

James Paulos

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Learning Connectivity for Data Distribution in Robot Teams.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Unsupervised Learning for Asynchronous Resource Allocation In Ad-Hoc Wireless Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Graphon and Graph Neural Network Stability.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Nonlinear State-Space Generalizations of Graph Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Discriminability of Single-Layer Graph Neural Networks.

[BibT_eX]

[DOI]

Samuel Pfrommer

Proceedings of the IEEE International Conference on Acoustics, 2021

Stability of Algebraic Neural Networks to Small Perturbations.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Wide and Deep Graph Neural Networks with Distributed Online Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Variance-Constrained Learning for Stochastic Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Graph Neural Networks for Decentralized Controllers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Stability of Neural Networks on Riemannian Manifolds.

[BibT_eX]

[DOI]

Proceedings of the 29th European Signal Processing Conference, 2021

Stability of Spherical Convolutional Neural Networks to Rotation Diffeomorphisms.

[BibT_eX]

[DOI]

Proceedings of the 29th European Signal Processing Conference, 2021

Multi-task Supervised Learning via Cross-learning.

[BibT_eX]

[DOI]

Proceedings of the 29th European Signal Processing Conference, 2021

Source Seeking in Unknown Environments with Convex Obstacles.

[BibT_eX]

[DOI]

Bruno Augusto Angélico

Proceedings of the 2021 American Control Conference, 2021

Transferable Graph Neural Networks on Large-Scale Stochastic Graphs.

[BibT_eX]

[DOI]

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Gated Graph Recurrent Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Invariance-Preserving Localized Activation Functions for Graph Neural Networks.

[BibT_eX]

[DOI]

Antonio Garcia Marques

IEEE Trans. Signal Process., 2020

Sparse Multiresolution Representations With Adaptive Kernels.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Distributed Constrained Online Learning.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Model-Free Learning of Optimal Ergodic Policies in Wireless Systems.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Stability Properties of Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Functional Nonlinear Sparse Models.

[BibT_eX]

[DOI]

Yonina C. Eldar

IEEE Trans. Signal Process., 2020

Random Access Communication for Wireless Control Systems With Energy Harvesting Sensors.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Stochastic Artificial Potentials for Online Safe Navigation.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2020

Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2020

Rethinking sketching as sampling: A graph signal processing approach.

[BibT_eX]

[DOI]

Signal Process., 2020

Stochastic Quasi-Newton Methods.

[BibT_eX]

[DOI]

Proc. IEEE, 2020

A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2020

Decentralized Control with Graph Neural Networks.

[BibT_eX]

[DOI]

Qingbiao Li

Amanda Prorok

CoRR, 2020

Trust but Verify: Assigning Prediction Credibility by Counterfactual Constrained Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Graph and graphon neural network stability.

[BibT_eX]

[DOI]

CoRR, 2020

Quiver Signal Processing (QSP).

[BibT_eX]

[DOI]

Hans Riess

Robert Ghrist

CoRR, 2020

Policy Gradient for Continuing Tasks in Non-stationary Markov Decision Processes.

[BibT_eX]

[DOI]

Juan Andrés Bazerque

CoRR, 2020

Parameter Critic: a Model Free Variance Reduction Method Through Imperishable Samples.

[BibT_eX]

[DOI]

CoRR, 2020

Resource Allocation via Model-Free Deep Learning in Free Space Optical Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Zeroth-order Deterministic Policy Gradient.

[BibT_eX]

[DOI]

CoRR, 2020

Graph Neural Networks for Motion Planning.

[BibT_eX]

[DOI]

CoRR, 2020

Graphs, Convolutions, and Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Mobile Wireless Network Infrastructure on Demand.

[BibT_eX]

[DOI]

CoRR, 2020

VGAI: A Vision-Based Decentralized Controller Learning Framework for Robot Swarms.

[BibT_eX]

[DOI]

CoRR, 2020

Resource Allocation in Wireless Control Systems via Deep Policy Gradient.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Wireless Power Control via Counterfactual Optimization of Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Sinkhorn Natural Gradient for Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sinkhorn Barycenter via Functional Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Graphon Neural Networks and the Transferability of Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Probably Approximately Correct Constrained Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Graph-Adaptive Activation Functions for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Counterfactual Programming for Optimal Control.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Graph Neural Networks for Decentralized Multi-Robot Path Planning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Sufficiently Accurate Model Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Mobile Wireless Network Infrastructure on Demand.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Scheduling Low Latency Traffic for Wireless Control Systems in 5G Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Communications, 2020

Control-Aware Scheduling for Low Latency Wireless Systems with Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

Metric Representations of Networks: A Uniqueness Result.

[BibT_eX]

[DOI]

T. Mitchell Roddenberry

Facundo Mémoli

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Spatial Gating Strategies for Graph Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

The Graphon Fourier Transform.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Federated Classification with Low Complexity Reproducing Kernel Hilbert Space Representations.

[BibT_eX]

[DOI]

Maria Peifer

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Optimal Power Flow Using Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Zeroth-Order Learning Algorithm for Ergodic Optimization of Wireless Systems with no Models and no Gradients.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Better Safe Than Sorry: Risk-Aware Nonlinear Bayesian Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Balancing Rates and Variance via Adaptive Batch-Sizes in First-Order Stochastic Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Stability of Graph Neural Networks to Relative Perturbations.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Transferable Policies for Large Scale Wireless Networks with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

The Empirical Duality Gap of Constrained Statistical Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Resource Allocation via Graph Neural Networks in Free Space Optical Fronthaul Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2020

Graphon Filters: Signal Processing in Very Large Graphs.

[BibT_eX]

[DOI]

Proceedings of the 28th European Signal Processing Conference, 2020

Graphon Pooling in Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 28th European Signal Processing Conference, 2020

Almost-Zero Duality Gaps in Model-Free Resource Allocation for Wireless Systems.

[BibT_eX]

[DOI]

Proceedings of the 28th European Signal Processing Conference, 2020

Risk-Constrained Linear-Quadratic Regulators.

[BibT_eX]

[DOI]

Anastasios Tsiamis

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Learning Constrained Resource Allocation Policies in Wireless Control Systems.

[BibT_eX]

[DOI]

Vinícius Lima

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Resilient Control: Compromising to Adapt.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Graph Neural Networks for Decentralized Path Planning.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Navigation of a Quadratic Potential with Star Obstacles.

[BibT_eX]

[DOI]

Proceedings of the 2020 American Control Conference, 2020

Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Decentralized Wireless Resource Allocation with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Ergodicity in Stationary Graph Processes: A Weak Law of Large Numbers.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Convolutional Neural Network Architectures for Signals Supported on Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Controllability of Bandlimited Graph Processes Over Random Time Varying Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Learning Optimal Resource Allocations in Wireless Systems.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

A Primal-Dual Quasi-Newton Method for Exact Consensus Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Learning in Wireless Control Systems Over Nonstationary Channels.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Connecting the Dots: Identifying Network Structure via Graph Signal Processing.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2019

A Newton-Based Method for Nonconvex Optimization with Fast Evasion of Saddle Points.

[BibT_eX]

[DOI]

SIAM J. Optim., 2019

Parsimonious Online Learning with Kernels via Sparse Projections in Function Space.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2019

Control Aware Radio Resource Allocation in Low Latency Wireless Control Systems.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2019

Risk-Aware MMSE Estimation.

[BibT_eX]

[DOI]

CoRR, 2019

A Prediction-Correction Algorithm for Real-Time Model Predictive Control.

[BibT_eX]

[DOI]

Manfred Morari

CoRR, 2019

Optimal Resource Allocation in Wireless Control Systems via Deep Policy Gradient.

[BibT_eX]

[DOI]

CoRR, 2019

Graph Policy Gradients for Large Scale Unlabeled Motion Planning with Constraints.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Task Agnostic Sufficiently Accurate Models.

[BibT_eX]

[DOI]

CoRR, 2019

Modeling mmWave Channels in High-Fidelity Simulations of Unmanned Aerial Systems.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Large Scale Wireless Power Allocation with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Constrained Reinforcement Learning Has Zero Duality Gap.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Stability of Graph Scattering Transforms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Inverse Optimal Planning for Air Traffic Control.

[BibT_eX]

[DOI]

Ashish Kapoor

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Hessian Aided Policy Gradient.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Diffusion Scattering Transforms on Graphs.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Median Activation Functions for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Sparse Learning of Parsimonious Reproducing Kernel Hilbert Space Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Aggregation Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Dual Domain Learning of Optimal Resource Allocations in Wireless Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Control Aware Communication Design for Time Sensitive Wireless Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Sparse Recovery over Nonlinear Dictionaries.

[BibT_eX]

[DOI]

Yonina C. Eldar

Proceedings of the IEEE International Conference on Acoustics, 2019

Optimal WDM Power Allocation via Deep Learning for Radio on Free Space Optics Systems.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Gated Graph Convolutional Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 27th European Signal Processing Conference, 2019

Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs.

[BibT_eX]

[DOI]

Proceedings of the 27th European Signal Processing Conference, 2019

Learning Decentralized Controllers for Robot Swarms with Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Graph Policy Gradients for Large Scale Robot Control.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Real-Time Model Predictive Control Based on Prediction-Correction Algorithms.

[BibT_eX]

[DOI]

Manfred Morari

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Constrained Online Learning in Networks with Sublinear Regret and Fit.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Learning Safe Policies via Primal-Dual Methods.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Policy Improvement Directions for Reinforcement Learning in Reproducing Kernel Hilbert Spaces.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Matroid-Constrained Approximately Supermodular Optimization for Near-Optimal Actuator Scheduling.

[BibT_eX]

[DOI]

Alexandre Amice

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Model Predictive Selection: A Receding Horizon Scheme for Actuator Selection.

[BibT_eX]

[DOI]

Vinícius Lima Silva

Proceedings of the 2019 American Control Conference, 2019

A Prediction-Correction Primal-Dual Algorithm for Distributed Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

Meta-Learning through Coupled Optimization in Reproducing Kernel Hilbert Spaces.

[BibT_eX]

[DOI]

Proceedings of the 2019 American Control Conference, 2019

Convolutional Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Design Strategies for Sparse Control Of Random Time-Varying NETWORKS.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Learning Gaussian Processes with Bayesian Posterior Optimization.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

Multi-mode Autonomous Communication Systems.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Decentralized Online Learning With Kernels.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Hierarchical Clustering Given Confidence Intervals of Metric Distances.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Network Comparison: Embeddings and Interiors.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Rating Prediction via Graph Signal Processing.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Greedy Sampling of Graph Signals.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Stochastic Routing and Scheduling Policies for Energy Harvesting Communication Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Hierarchical Overlapping Clustering of Network Data Using Cut Metrics.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2018

Demand Response With Communicating Rational Consumers.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2018

Distributed Inertial Best-Response Dynamics.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

Navigation Functions for Convex Potentials in a Space With Convex Obstacles.

[BibT_eX]

[DOI]

Daniel E. Koditschek

IEEE Trans. Autom. Control., 2018

Prediction-Correction Interior-Point Method for Time-Varying Convex Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

Distributed Fictitious Play for Multiagent Systems in Uncertain Environments.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2018

Surpassing Gradient Descent Provably: A Cyclic Incremental Method with Linear Convergence Rate.

[BibT_eX]

[DOI]

Mert Gürbüzbalaban

SIAM J. Optim., 2018

IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate.

[BibT_eX]

[DOI]

SIAM J. Optim., 2018

Analysis of Optimization Algorithms via Integral Quadratic Constraints: Nonstrongly Convex Problems.

[BibT_eX]

[DOI]

SIAM J. Optim., 2018

A Graph Signal Processing Perspective on Functional Brain Imaging.

[BibT_eX]

[DOI]

Thomas William Arthur Bolton

Proc. IEEE, 2018

Stylometric analysis of Early Modern period English plays.

[BibT_eX]

[DOI]

Digit. Scholarsh. Humanit., 2018

Modeling Treatment Delays for Patients using Feature Label Pairs in a Time Series.

[BibT_eX]

[DOI]

CoRR, 2018

Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients.

[BibT_eX]

[DOI]

CoRR, 2018

Convolutional Neural Networks Architectures for Signals Supported on Graphs.

[BibT_eX]

[DOI]

CoRR, 2018

Random access design for wireless control systems.

[BibT_eX]

[DOI]

Autom., 2018

Hierarchical clustering of asymmetric networks.

[BibT_eX]

[DOI]

Adv. Data Anal. Classif., 2018

MIMO Graph Filters for Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Optimization of Switched Linear Systems Over Non-Stationary Wireless Channels.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Composable Learning with Sparse Kernel Representations.

[BibT_eX]

[DOI]

Ethan Stump

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Learning Sample-Efficient Target Reaching for Mobile Robots.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Parallel Stochastic Successive Convex Approximation Method for Large-Scale Dictionary Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Matrix Completion as Graph Bandlimited Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Graph Signal Processing of Human Brain Imaging Data.

[BibT_eX]

[DOI]

Thomas William Arthur Bolton

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Control of Graph Signals Over Random Time-Varying Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning Statistically Accurate Resource Allocations in Non-Stationary Wireless Systems.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Strong Duality of Sparse Functional Optimization.

[BibT_eX]

[DOI]

Yonina C. Eldar

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Predicting Power Outages Using Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

CNN Architectures for Graph Data.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Convolutional Neural Networks via Node-Varying Graph Filters.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Data Science Workshop, 2018

A Newton Method for Faster Navigation in Cluttered Environments.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Learning Policies for Markov Decision Processes in Continuous Spaces.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Nonparametric Stochastic Compositional Gradient Descent for Q-Learning in Continuous Markov Decision Problems.

[BibT_eX]

[DOI]

Ethan Stump

Proceedings of the 2018 Annual American Control Conference, 2018

A Prediction-Correction Method for Model Predictive Control.

[BibT_eX]

[DOI]

Manfred Morari

Proceedings of the 2018 Annual American Control Conference, 2018

Distributed Smooth and Strongly Convex Optimization with Inexact Dual Methods.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

Learning in Non-Stationary Wireless Control Systems via Newton's Method.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Locally Adaptive Kernel Estimation Using Sparse Functional Programming.

[BibT_eX]

[DOI]

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Decentralized Online Nonparametric Learning.

[BibT_eX]

[DOI]

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Online Deep Learning in Wireless Communication Systems.

[BibT_eX]

[DOI]

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Optimal Graph-Filter Design and Applications to Distributed Linear Network Operators.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Blind Identification of Graph Filters.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Network Newton Distributed Optimization Methods.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Stationary Graph Processes and Spectral Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Proximity Without Consensus in Online Multiagent Optimization.

[BibT_eX]

[DOI]

Brian M. Sadler

IEEE Trans. Signal Process., 2017

Persistent Homology Lower Bounds on High-Order Network Distances.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Decentralized Quasi-Newton Methods.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Stochastic Averaging for Constrained Optimization With Application to Online Resource Allocation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

Network Topology Inference from Spectral Templates.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2017

D4L: Decentralized Dynamic Discriminative Dictionary Learning.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2017

Cooperative Special Issue on Graph Signal Processing in the IEEE Journal of Selected Topics in Signal Processing and the IEEE Transactions on Signal and Information Processing Over Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2017

Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2017

Concurrent Control of Mobility and Communication in Multirobot Systems.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2017

Decentralized Prediction-Correction Methods for Networked Time-Varying Convex Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

Online Learning of Feasible Strategies in Unknown Environments.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

Introduction to the Issue on Cooperative Signal Processing for Heterogeneous and Multi-Task Wireless Sensor Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2017

Introduction to the IEEE Journal on Selected Topics in Signal Processing and IEEE Transactions on Signal and Information Processing Over Networks Joint Special Issue on Graph Signal Processing.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2017

The Dual Graph Shift Operator: Identifying the Support of the Frequency Domain.

[BibT_eX]

[DOI]

CoRR, 2017

First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Approximate Supermodularity Bounds for Experimental Design.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Robust network topology inference.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Stationary graph processes: Parametric power spectral estimation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Large-scale nonconvex stochastic optimization by Doubly Stochastic Successive Convex approximation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A double incremental aggregated gradient method with linear convergence rate for large-scale optimization.

[BibT_eX]

[DOI]

Mert Gürbüzbalaban

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

An incremental quasi-Newton method with a local superlinear convergence rate.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Axiomatic hierarchical clustering given intervals of metric distances.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Brain signal analytics from graph signal processing perspective.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Weak law of large numbers for stationary graph processes.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Universal bounds for the sampling of graph signals.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Stochastic backpressure in energy harvesting networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Decentralized efficient nonparametric stochastic optimization.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Distributed estimation of smooth graph power spectral density.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Finite-precision effects on graph filters.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Collaborative filtering via graph signal processing.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

Safe online navigation of convex potentials in spaces with convex obstacles.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

The mean square error in Kalman filtering sensor selection is approximately supermodular.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Design of weighted median graph filters.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

A variational approach to dual methods for constrained convex optimization.

[BibT_eX]

[DOI]

Proceedings of the 2017 American Control Conference, 2017

Random access policies for wireless networked control systems with energy harvesting sensors.

[BibT_eX]

[DOI]

Proceedings of the 2017 American Control Conference, 2017

A dynamical systems perspective to convergence rate analysis of proximal algorithms.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Partial embedding distance for networks.

[BibT_eX]

[DOI]

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

A primal-dual Quasi-Newton method for consensus optimization.

[BibT_eX]

[DOI]

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

A Class of Prediction-Correction Methods for Time-Varying Convex Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Stability and Continuity of Centrality Measures in Weighted Graphs.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Reconstruction of Graph Signals Through Percolation from Seeding Nodes.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

DQM: Decentralized Quadratically Approximated Alternating Direction Method of Multipliers.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Sampling of Graph Signals With Successive Local Aggregations.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Metrics in the Space of High Order Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

A Decentralized Second-Order Method with Exact Linear Convergence Rate for Consensus Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2016

Graph Frequency Analysis of Brain Signals.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2016

DSA: Decentralized Double Stochastic Averaging Gradient Algorithm.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2016

Learning to Coordinate in Social Networks.

[BibT_eX]

[DOI]

Oper. Res., 2016

Fictitious Play with Inertia Learns Pure Equilibria in Distributed Games with Incomplete Information.

[BibT_eX]

[DOI]

CoRR, 2016

Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy.

[BibT_eX]

[DOI]

CoRR, 2016

A Class of Parallel Doubly Stochastic Algorithms for Large-Scale Learning.

[BibT_eX]

[DOI]

CoRR, 2016

Decentralized Dynamic Discriminative Dictionary Learning.

[BibT_eX]

[DOI]

CoRR, 2016

Distributed Fictitious Play for Optimal Behavior of Multi-Agent Systems with Incomplete Information.

[BibT_eX]

[DOI]

CoRR, 2016

Excisive Hierarchical Clustering Methods for Network Data.

[BibT_eX]

[DOI]

CoRR, 2016

Network topology identification from spectral templates.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Online learning for characterizing unknown environments in ground robotic vehicle models.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Stationary graph processes: Nonparametric spectral estimation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Hybrid architecture for communication-aware multi-robot systems.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Control-Aware Random Access Communication.

[BibT_eX]

[DOI]

Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016

System architectures for communication-aware multi-robot navigation.

[BibT_eX]

[DOI]

James Stephan

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Linear network operators using node-variant graph filters.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Blind identification of graph filters with multiple sparse inputs.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Space-shift sampling of graph signals.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Diffusion filtering of graph signals and its use in recommendation systems.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Proximity without consensus in online multi-agent optimization.

[BibT_eX]

[DOI]

Brian M. Sadler

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Persistent homology lower bounds on network distances.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Overlapping clustering of network data using cut metrics.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Decentralized constrained consensus optimization with primal dual splitting projection.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Center-weighted median graph filters.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Decentralized online optimization with heterogeneous data sources.

[BibT_eX]

[DOI]

Brian M. Sadler

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Axiomatic hierarchical clustering for intervals of metric distances.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Rethinking sketching as sampling: Efficient approximate solution to linear inverse problems.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Distributed fictitious play for multi-agent systems with uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

An asynchronous Quasi-Newton method for consensus optimization.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

A data-driven approach to stochastic network optimization.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Near-optimality of greedy set selection in the sampling of graph signals.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

A Quasi-newton prediction-correction method for decentralized dynamic convex optimization.

[BibT_eX]

[DOI]

Proceedings of the 15th European Control Conference, 2016

A decentralized Second-Order Method for Dynamic Optimization.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Online optimization in dynamic environments: Improved regret rates for strongly convex problems.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Distributed continuous-time online optimization using saddle-point methods.

[BibT_eX]

[DOI]

Soomin Lee

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

State-based communication design for wireless control systems.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Self-triggered time-varying convex optimization.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Learning pure-strategy Nash equilibria in networked multi-agent systems with uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A decentralized quasi-Newton method for dual formulations of consensus optimization.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Doubly random parallel stochastic methods for large scale learning.

[BibT_eX]

[DOI]

Proceedings of the 2016 American Control Conference, 2016

Interior point method for dynamic constrained optimization in continuous time.

[BibT_eX]

[DOI]

Proceedings of the 2016 American Control Conference, 2016

Network topology identification from imperfect spectral templates.

[BibT_eX]

[DOI]

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Doubly stochastic algorithms for large-scale optimization.

[BibT_eX]

[DOI]

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Persistent homology lower bounds on distances in the space of networks.

[BibT_eX]

[DOI]

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Rethinking sketching as sampling: Linear transforms of graph signals.

[BibT_eX]

[DOI]

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Authorship Attribution Through Function Word Adjacency Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

DLM: Decentralized Linearized Alternating Direction Method of Multipliers.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

A Saddle Point Algorithm for Networked Online Convex Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Diffusion and Superposition Distances for Signals Supported on Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2015

Demand Response Management in Smart Grids With Heterogeneous Consumer Preferences.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2015

Opportunistic Control Over Shared Wireless Channels.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2015

Global convergence of online limited memory BFGS.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2015

Distributed Linear Network Operators using Graph Filters.

[BibT_eX]

[DOI]

CoRR, 2015

Demand Response with Cooperating Rational Consumers.

[BibT_eX]

[DOI]

CoRR, 2015

An approximate Newton method for distributed optimization.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Regret bounds of a distributed saddle point algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Metrics in the space of high order proximity networks.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Rational consumer behavior models in smart pricing.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Reconstruction of graph signals: Percolation from a single seeding node.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Decentralized quadratically approximated alternating direction method of multipliers.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Target tracking with dynamic convex optimization.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Persistent homology approximations of network distances.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Interpolation of graph signals using shift-invariant graph filters.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Signal Processing Conference, 2015

Online learning of optimal strategies in unknown environments.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Control with random access wireless sensors.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Distributed fictitious play in potential games of incomplete information.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

A decentralized prediction-correction method for networked time-varying convex optimization.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Blind identification of graph filters with sparse inputs.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Aggregation sampling of graph signals in the presence of noise.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Real-Time Pricing with uncertain and heterogeneous consumer preferences.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2015

Distributed implementation of linear network operators using graph filters.

[BibT_eX]

[DOI]

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Prediction-correction methods for time-varying convex optimization.

[BibT_eX]

[DOI]

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

Sampling of graph signals: Successive local aggregations at a single node.

[BibT_eX]

[DOI]

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

Decentralized double stochastic averaging gradient.

[BibT_eX]

[DOI]

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

Diffusion distance for signals supported on networks.

[BibT_eX]

[DOI]

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

RES: Regularized Stochastic BFGS Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

Decentralized Dynamic Optimization Through the Alternating Direction Method of Multipliers.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

Bayesian Quadratic Network Game Filters.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

Accelerated Dual Descent for Network Flow Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2014

Optimal Power Management in Wireless Control Systems.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2014

Robust routing and Multi-Confirmation Transmission Protocol for connectivity management of mobile robotic teams.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Hierarchical Quasi-Clustering Methods for Asymmetric Networks.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Opportunistic scheduling of control tasks over shared wireless channels.

[BibT_eX]

[DOI]

Proceedings of the ACM/IEEE International Conference on Cyber-Physical Systems, 2014

A stable betweenness centrality measure in networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

A quasi-Newton method for large scale support vector machines.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Decentralized linearized alternating direction method of multipliers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Information aggregation in a beauty contest game.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Distributed demand side management of heterogeneous rational consumers in smart grids with renewable sources.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Discounted integral priority routing for data networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2014

Dithering and betweenness centrality in weighted graphs.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Opportunistic sensor scheduling in wireless control systems.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Network Newton.

[BibT_eX]

[DOI]

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

D-MAP: Distributed Maximum a Posteriori Probability Estimation of Dynamic Systems.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2013

Optimal Wireless Communications With Imperfect Channel State Information.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2013

Network Integrity in Mobile Robotic Networks.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2013

Learning in Network Games with Incomplete Information: Asymptotic Analysis and Tractable Implementation of Rational Behavior.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2013

Robust Control of Mobility and Communications in Autonomous Robot Teams.

[BibT_eX]

[DOI]

IEEE Access, 2013

A dual stochastic DFP algorithm for optimal resource allocation in wireless systems.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Cognitive access algorithms for multiple access channels.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Authorship attribution using function words adjacency networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Axiomatic construction of hierarchical clustering in asymmetric networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Accelerated backpressure algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Global Communications Conference, 2013

Regularized stochastic BFGS algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Alternative axiomatic constructions for hierarchical clustering of asymmetric networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

A linearized bregman algorithm for decentralized basis pursuit.

[BibT_eX]

[DOI]

Proceedings of the 21st European Signal Processing Conference, 2013

Distributed filters for Bayesian network games.

[BibT_eX]

[DOI]

Proceedings of the 21st European Signal Processing Conference, 2013

Accelerated dual descent for constrained convex network flow optimization.

[BibT_eX]

[DOI]

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Learning to coordinate in a beauty contest game.

[BibT_eX]

[DOI]

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Power-aware communication for wireless sensor-actuator systems.

[BibT_eX]

[DOI]

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Convergence of Bayesian histogram filters for location estimation.

[BibT_eX]

[DOI]

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Hierarchical clustering and consensus in trust networks.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Hierarchical clustering methods and algorithms for asymmetric networks.

[BibT_eX]

[DOI]

Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012

Optimal Wireless Networks Based on Local Channel State Information.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

Distributed Network Optimization With Heuristic Rational Agents.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

Robust Control for Mobility and Wireless Communication in Cyber-Physical Systems With Application to Robot Teams.

[BibT_eX]

[DOI]

Proc. IEEE, 2012

Adaptive Communication-Constrained Deployment of Unmanned Vehicle Systems.

[BibT_eX]

[DOI]

Jerome Le Ny

IEEE J. Sel. Areas Commun., 2012

Optimal resource allocation in wireless communication and networking.

[BibT_eX]

[DOI]

EURASIP J. Wirel. Commun. Netw., 2012

Motion planning for robust wireless networking.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

A distributed routing protocol for predictable rates in wireless mesh networksy.

[BibT_eX]

[DOI]

Behnaz Arzani

Roch Guérin

Proceedings of the 20th IEEE International Conference on Network Protocols, 2012

Distributed maximum a posteriori probability estimation of dynamic systems with wireless sensor networks.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Optimal wireless multiuser channels with imperfect channel state information.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Heuristic rational models in social networks.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Network optimization under uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A distributed line search for network optimization.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2012

Adaptive communication-constrained deployment of mobile robotic networks.

[BibT_eX]

[DOI]

Jerome Le Ny

Proceedings of the American Control Conference, 2012

Learning in linear games over networks.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

Distributed maximum a posteriori probability estimation for tracking of dynamic systems.

[BibT_eX]

[DOI]

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Dynamic games with side information in economic networks.

[BibT_eX]

[DOI]

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011

Adaptive Distributed Algorithms for Optimal Random Access Channels.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2011

Optimal Transmission over a Fading Channel with Imperfect Channel State Information.

[BibT_eX]

[DOI]

Proceedings of the Global Communications Conference, 2011

Robot deployment with end-to-end communication constraints.

[BibT_eX]

[DOI]

Jerome Le Ny

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Accelerated dual descent for network optimization.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2011

Optimal random access for wireless networks in the presence of fading.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

A framework for integrating mobility and routing in mobile communication networks.

[BibT_eX]

[DOI]

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Network optimization with heuristic rational agents.

[BibT_eX]

[DOI]

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

A class of convergent algorithms for resource allocation in wireless fading networks.

[BibT_eX]

[DOI]

Nikolaos Gatsis

IEEE Trans. Wirel. Commun., 2010

Ergodic Stochastic Optimization Algorithms for Wireless Communication and Networking.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

Separation principles in wireless networking.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2010

Mobility & routing control in networks of robots.

[BibT_eX]

[DOI]

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009

Cooperative Communications in Wireless Networks.

[BibT_eX]

[DOI]

EURASIP J. Wirel. Commun. Netw., 2009

Layers and layer interfaces in wireless networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

Cross-layer optimization of wireless fading ad-hoc networks.

[BibT_eX]

[DOI]

Nikolaos Gatsis

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Optimal Distributed Stochastic Routing Algorithms for Wireless Multihop Networks.

[BibT_eX]

[DOI]

Nikolas D. Sidiropoulos

IEEE Trans. Wirel. Commun., 2008

Consensus in Ad Hoc WSNs With Noisy Links - Part I: Distributed Estimation of Deterministic Signals.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2008

Consensus in Ad Hoc WSNs With Noisy Links - Part II: Distributed Estimation and Smoothing of Random Signals.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2008

Decentralized Quantized Kalman Filtering With Scalable Communication Cost.

[BibT_eX]

[DOI]

Eric J. Msechu

IEEE Trans. Signal Process., 2008

Link-Adaptive Distributed Coding for Multisource Cooperation.

[BibT_eX]

[DOI]

Alfonso Cano

Tairan Wang

EURASIP J. Adv. Signal Process., 2008

Optimal FDMA over wireless fading mobile ad-hoc networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2008

Distributed Kalman filtering based on quantized innovations.

[BibT_eX]

[DOI]

Eric J. Msechu

Proceedings of the IEEE International Conference on Acoustics, 2008

Layer separability of wireless networks.

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

Optimal layered architectures of wireless networks.

[BibT_eX]

[DOI]

Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

Session WA6b: Wireless network utility maximization: Fundamental limits and protocols.

[BibT_eX]

[DOI]

Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007

Achieving Wireline Random Access Throughput in Wireless Networking Via User Cooperation.

[BibT_eX]

[DOI]

Nikos D. Sidiropoulos

Yingqun Yu

IEEE Trans. Inf. Theory, 2007

Multi-source cooperation with full-diversity spectral-efficiency and controllable-complexity.

[BibT_eX]

[DOI]

Renqiu Wang

IEEE J. Sel. Areas Commun., 2007

Modelling and Optimization of Stochastic Routing for Wireless Multi-Hop Networks.

[BibT_eX]

[DOI]

Zhi-Quan Luo

Nikos D. Sidiropoulos

Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

Consensus-Based Distributed Parameter Estimation in Ad Hoc Wireless Sensor Networks with Noisy Links.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

Distributed Routing Algorithms for Wireless Multihop Networks.

[BibT_eX]

[DOI]

Nicholas D. Sidiropoulos

Proceedings of the IEEE International Conference on Acoustics, 2007

Robust Routing in Wireless Multi-Hop Networks.

[BibT_eX]

[DOI]

Yuchen Wu

Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007

2006

Opportunistic multipath for bandwidth-efficient cooperative multiple access.

[BibT_eX]

[DOI]

Xiaodong Cai

IEEE Trans. Wirel. Commun., 2006

SOI-KF: Distributed Kalman Filtering With Low-Cost Communications Using the Sign of Innovations.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2006

Bandwidth-constrained distributed estimation for wireless sensor networks-part II: unknown probability density function.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2006

Bandwidth-constrained distributed estimation for wireless sensor Networks-part I: Gaussian case.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2006

Distributed compression-estimation using wireless sensor networks.

[BibT_eX]

[DOI]

Jin-Jun Xiao

Zhi-Quan Luo

IEEE Signal Process. Mag., 2006

Link-Adaptive Distributed Coding for Multi-Source Cooperation.

[BibT_eX]

[DOI]

Alfonso Cano

Tairan Wang

Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM '06, San Francisco, CA, USA, 27 November, 2006

Distributed estimation with ad hoc wireless sensor networks.

[BibT_eX]

[DOI]

Proceedings of the 14th European Signal Processing Conference, 2006

2005

Symbol error probabilities for general Cooperative links.

[BibT_eX]

[DOI]

Xiaodong Cai

IEEE Trans. Wirel. Commun., 2005

Increasing the throughput of spread-Aloha protocols via long PN spreading codes.

[BibT_eX]

[DOI]

Yingqun Yu

Nikos D. Sidiropoulos

Proceedings of IEEE International Conference on Communications, 2005

Distributed quantization-estimation using wireless sensor networks.

[BibT_eX]

[DOI]

Proceedings of IEEE International Conference on Communications, 2005

Cooperative random access with long PN spreading codes.

[BibT_eX]

[DOI]

Yingqun Yu

Nikolaos D. Sidiropoulos

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Non-parametric distributed quantization-estimation using wireless sensor networks.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

Opportunistic multipath for bandwidth-efficient cooperative networking.

[BibT_eX]

[DOI]

Xiaodong Cai