Anima Anandkumar

Nat. Mac. Intell., 2024

Action-conditional implicit visual dynamics for deformable object manipulation.

[BibT_eX]

[DOI]

Bokui Shen

Zhenyu Jiang

Christopher Bongsoo Choy

Int. J. Robotics Res., 2024

Challenges in moderating disruptive player behavior in online competitive action games.

[BibT_eX]

[DOI]

R. Michael Alvarez

Frontiers Comput. Sci., 2024

LeanAgent: Lifelong Learning for Formal Theorem Proving.

[BibT_eX]

[DOI]

CoRR, 2024

Diffusion State-Guided Projected Gradient for Inverse Problems.

[BibT_eX]

[DOI]

Rayhan Zirvi

Bahareh Tolooshams

CoRR, 2024

Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization.

[BibT_eX]

[DOI]

CoRR, 2024

Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design.

[BibT_eX]

[DOI]

CoRR, 2024

Fourier Neural Operators for Learning Dynamics in Quantum Spin Systems.

[BibT_eX]

[DOI]

CoRR, 2024

Beyond Closure Models: Learning Chaotic-Systems via Physics-Informed Neural Operators.

[BibT_eX]

[DOI]

CoRR, 2024

MINI-SEQUENCE TRANSFORMER: Optimizing Intermediate Memory for Long Sequences Training.

[BibT_eX]

[DOI]

CoRR, 2024

Dynamical Measure Transport and Neural PDE Solvers for Sampling.

[BibT_eX]

[DOI]

CoRR, 2024

Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing.

[BibT_eX]

[DOI]

CoRR, 2024

ARDuP: Active Region Video Diffusion for Universal Policies.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Large Language Models as Copilots for Theorem Proving in Lean.

[BibT_eX]

[DOI]

Peiyang Song

Kaiyu Yang

CoRR, 2024

Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs.

[BibT_eX]

[DOI]

Adhithya Prakash Saravanan

CoRR, 2024

T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching.

[BibT_eX]

[DOI]

CoRR, 2024

ChatGPT Based Data Augmentation for Improved Parameter-Efficient Debiasing of LLMs.

[BibT_eX]

[DOI]

Pengrui Han

Rafal Kocielnik

Roy Jiang

Or Sharir

CoRR, 2024

Calibrated Uncertainty Quantification for Operator Learning via Conformal Prediction.

[BibT_eX]

[DOI]

Ziqi Ma

CoRR, 2024

A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics.

[BibT_eX]

[DOI]

Vignesh C. Bhethanabotla

CoRR, 2024

Differentially Private Video Activity Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

SF3D: SlowFast Temporal 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection.

[BibT_eX]

[DOI]

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

Equivariant Graph Neural Operator for Modeling 3D Dynamics.

[BibT_eX]

[DOI]

Jure Leskovec

Stefano Ermon

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

Solving Poisson Equations using Neural Walk-on-Spheres.

[BibT_eX]

[DOI]

Hong Chul Nam

Julius Berner

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

Autoformalizing Euclidean Geometry.

[BibT_eX]

[DOI]

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

Neural Operators with Localized Integral and Differential Kernels.

[BibT_eX]

[DOI]

Julius Berner

Boris Bonev

Thorsten Kurth

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

DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training.

[BibT_eX]

[DOI]

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

Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Guaranteed Approximation Bounds for Mixed-Precision Neural Operators.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Eureka: Human-Level Reward Design via Coding Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Improving Distant 3D Object Detection Using 2D Box Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

What is Point Supervision Worth in Video Instance Segmentation?

[BibT_eX]

[DOI]

Subhashree Radhakrishnan

José M. Álvarez

Abhinav Shrivastava

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Multi-modal molecule structure-text model for text-based retrieval and editing.

[BibT_eX]

[DOI]

Nat. Mac. Intell., December, 2023

NeuralPLexer evaluation datasets and predictions.

[BibT_eX]

[DOI]

Dataset, December, 2023

GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics.

[BibT_eX]

[DOI]

Int. J. High Perform. Comput. Appl., November, 2023

Quantum Goemans-Williamson Algorithm with the Hadamard Test and Approximate Amplitude Constraints.

[BibT_eX]

[DOI]

Quantum, July, 2023

Capturing fine-grained details for video-based automation of suturing skills assessment.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., March, 2023

Dr-Fairness: Dynamic Data Ratio Adjustment for Fair Training on Real and Generated Data.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Human visual explanations mitigate bias in AI-based assessment of surgeon skills.

[BibT_eX]

[DOI]

Andrew J. Hung

npj Digit. Medicine, 2023

Scientific discovery in the age of artificial intelligence.

[BibT_eX]

[DOI]

Nat., 2023

Fourier Neural Operator with Learned Deformations for PDEs on General Geometries.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2023

Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs.

[BibT_eX]

[DOI]

Burigede Liu

Kaushik Bhattacharya

Andrew M. Stuart

J. Mach. Learn. Res., 2023

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol.

[BibT_eX]

[DOI]

S. Chakra Chennubhotla

Hyungro Lee

Matteo Turilli

Syma Khalid

Teresa Tamayo-Mendoza

Matthew Welborn

Anders S. Christensen

Int. J. High Perform. Comput. Appl., 2023

Perspectives on the State and Future of Deep Learning - 2023.

[BibT_eX]

[DOI]

CoRR, 2023

Plasma Surrogate Modelling using Fourier Neural Operators.

[BibT_eX]

[DOI]

Marc Peter Deisenroth

JOREK Team

MAST Team

CoRR, 2023

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.

[BibT_eX]

[DOI]

Cindy Orozco Bohorquez

Massimiliano Lupo Pasini

CoRR, 2023

Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs.

[BibT_eX]

[DOI]

CoRR, 2023

Neural Operators for Accelerating Scientific Simulations and Design.

[BibT_eX]

[DOI]

CoRR, 2023

Tipping Point Forecasting in Non-Stationary Dynamics on Function Spaces.

[BibT_eX]

[DOI]

Clare E. Singer

Tapio Schneider

CoRR, 2023

Speeding up Fourier Neural Operators via Mixed Precision.

[BibT_eX]

[DOI]

CoRR, 2023

Incrementally-Computable Neural Networks: Efficient Inference for Dynamic Inputs.

[BibT_eX]

[DOI]

Or Sharir

CoRR, 2023

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.

[BibT_eX]

[DOI]

Aria Mansouri Tehrani

CoRR, 2023

InRank: Incremental Low-Rank Learning.

[BibT_eX]

[DOI]

CoRR, 2023

ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.

[BibT_eX]

[DOI]

CoRR, 2023

Prismer: A Vision-Language Model with An Ensemble of Experts.

[BibT_eX]

[DOI]

CoRR, 2023

Score-based Diffusion Models in Function Space.

[BibT_eX]

[DOI]

CoRR, 2023

AutoBiasTest: Controllable Sentence Generation for Automated and Open-Ended Social Bias Testing in Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees.

[BibT_eX]

[DOI]

CoRR, 2023

A Text-guided Protein Design Framework.

[BibT_eX]

[DOI]

CoRR, 2023

Forecasting subcritical cylinder wakes with Fourier Neural Operators.

[BibT_eX]

[DOI]

CoRR, 2023

FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators.

[BibT_eX]

[DOI]

Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation.

[BibT_eX]

[DOI]

Christopher S. Bretherton

Fernando Iglesias-Suarez

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

LeanDojo: Theorem Proving with Retrieval-Augmented Language Models.

[BibT_eX]

[DOI]

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

Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials.

[BibT_eX]

[DOI]

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

Geometry-Informed Neural Operator for Large-Scale 3D PDEs.

[BibT_eX]

[DOI]

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

Deep Multimodal Fusion for Surgical Feedback Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Health, 2023

Neural Operators for Solving PDEs and Inverse Design.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Symposium on Physical Design, 2023

Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach.

[BibT_eX]

[DOI]

Haoxuan Wang

Junchi Yan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Fast Sampling of Diffusion Models via Operator Learning.

[BibT_eX]

[DOI]

Hongkai Zheng

Weili Nie

Arash Vahdat

Proceedings of the International Conference on Machine Learning, 2023

I<sup>2</sup>SB: Image-to-Image Schrödinger Bridge.

[BibT_eX]

[DOI]

Guan-Horng Liu

Arash Vahdat

De-An Huang

Evangelos A. Theodorou

Weili Nie

Adhithya Prakash Saravanan

Proceedings of the International Conference on Machine Learning, 2023

VIMA: Robot Manipulation with Multimodal Prompts.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

DensePure: Understanding Diffusion Models for Adversarial Robustness.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Retrieval-based Controllable Molecule Generation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Fully Attentional Networks with Self-emerging Token Labeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FB-BEV: BEV Representation from Forward-Backward View Transformations.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

End-to-end 3D Tracking with Decoupled Queries.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Spacetime Surface Regularization for Neural Dynamic Scene Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FocalFormer3D : Focusing on Hard Instance for 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Exploring Social Bias in Downstream Applications of Text-to-Image Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, 2023

Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Context Generation Improves Open Domain Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Vision Transformers are Good Mask Auto-Labelers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Fast Monocular Scene Reconstruction with Global-Sparse Local-Dense Grids.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MimicPlay: Long-Horizon Imitation Learning by Watching Human Play.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time Systems.

[BibT_eX]

[DOI]

Yuanyuan Shi

Guannan Qu

Adam Wierman

Benyamin Allahgholizadeh Haghi

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

EKGNet: A 10.96μW Fully Analog Neural Network for Intra-Patient Arrhythmia Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

Thompson Sampling for Partially Observable Linear-Quadratic Control.

[BibT_eX]

[DOI]

Taylan Kargin

Proceedings of the American Control Conference, 2023

Distributionally Robust Policy Gradient for Offline Contextual Bandits.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Learning Dissipative Dynamics in Chaotic Systems (Datasets).

[BibT_eX]

[DOI]

Nikola Borislavov Kovachki

Burigede Liu

Kaushik Bhattacharya

Andrew M. Stuart

Dataset, November, 2022

ZerO Initialization: Initializing Neural Networks with only Zeros and Ones.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Generative Adversarial Neural Operators.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

LNS-Madam: Low-Precision Training in Logarithmic Number System Using Multiplicative Weight Update.

[BibT_eX]

[DOI]

Steve Dai

Rangharajan Venkatesan

IEEE Trans. Computers, 2022

Neural-Fly enables rapid learning for agile flight in strong winds.

[BibT_eX]

[DOI]

Michael O'Connell

Guanya Shi

Xichen Shi

Soon-Jo Chung

Sci. Robotics, 2022

Neural Scene Representation for Locomotion on Structured Terrain.

[BibT_eX]

[DOI]

David Hoeller

Nikita Rudin

Christopher B. Choy

Marco Hutter

IEEE Robotics Autom. Lett., 2022

Surgical gestures as a method to quantify surgical performance and predict patient outcomes.

[BibT_eX]

[DOI]

npj Digit. Medicine, 2022

Intelligent resolution: Integrating Cryo-EM with AI-driven multi-resolution simulations to observe the severe acute respiratory syndrome coronavirus-2 replication-transcription machinery in action.

[BibT_eX]

[DOI]

Int. J. High Perform. Comput. Appl., 2022

Towards Neural Variational Monte Carlo That Scales Linearly with System Size.

[BibT_eX]

[DOI]

Or Sharir

Garnet Kin-Lic Chan

CoRR, 2022

HEAT: Hardware-Efficient Automatic Tensor Decomposition for Transformer Compression.

[BibT_eX]

[DOI]

CoRR, 2022

Fourier Continuation for Exact Derivative Computation in Physics-Informed Neural Operators.

[BibT_eX]

[DOI]

CoRR, 2022

Incremental Fourier Neural Operator.

[BibT_eX]

[DOI]

CoRR, 2022

DensePure: Understanding Diffusion Models towards Adversarial Robustness.

[BibT_eX]

[DOI]

CoRR, 2022

Accelerating Carbon Capture and Storage Modeling using Fourier Neural Operators.

[BibT_eX]

[DOI]

Gege Wen

Qirui Long

Sally M. Benson

CoRR, 2022

An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design.

[BibT_eX]

[DOI]

Saumyadip Mukhopadhyay

CoRR, 2022

1st Place Solution of The Robust Vision Challenge (RVC) 2022 Semantic Segmentation Track.

[BibT_eX]

[DOI]

CoRR, 2022

VIMA: General Robot Manipulation with Multimodal Prompts.

[BibT_eX]

[DOI]

CoRR, 2022

Dynamic-Backbone Protein-Ligand Structure Prediction with Multiscale Generative Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2022

Stability Constrained Reinforcement Learning for Real-Time Voltage Control in Distribution Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training.

[BibT_eX]

[DOI]

Haoyu Yang

Kumara Sastry

Saumyadip Mukhopadhyay

CoRR, 2022

Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control.

[BibT_eX]

[DOI]

Taylan Kargin

CoRR, 2022

KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Dynamical Systems.

[BibT_eX]

[DOI]

Yuanyuan Shi

Guannan Qu

Adam Wierman

CoRR, 2022

Quantification of Robotic Surgeries with Vision-Based Deep Learning.

[BibT_eX]

[DOI]

Andrew J. Hung

CoRR, 2022

M<sup>2</sup>BEV: Multi-Camera Joint 3D Detection and Segmentation with Unified Birds-Eye View Representation.

[BibT_eX]

[DOI]

CoRR, 2022

FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

[BibT_eX]

[DOI]

Pedram Hassanzadeh

Karthik Kashinath

CoRR, 2022

Can You Label Less by Using Out-of-Domain Data? Active & Transfer Learning with Few-shot Instructions.

[BibT_eX]

[DOI]

Proceedings of the Transfer Learning for Natural Language Processing Workshop, 2022

ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Exploring the Limits of Domain-Adaptive Training for Detoxifying Large-Scale Language Models.

[BibT_eX]

[DOI]

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

Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models.

[BibT_eX]

[DOI]

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

Pre-Trained Language Models for Interactive Decision-Making.

[BibT_eX]

[DOI]

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

Learning Chaotic Dynamics in Dissipative Systems.

[BibT_eX]

[DOI]

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

Finite-Time Regret of Thompson Sampling Algorithms for Exponential Family Multi-Armed Bandits.

[BibT_eX]

[DOI]

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

PeRFception: Perception using Radiance Fields.

[BibT_eX]

[DOI]

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

MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training.

[BibT_eX]

[DOI]

De-An Huang

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

MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge.

[BibT_eX]

[DOI]

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

ScaDL 2022 Invited Talk 3: Million-x speedups through convergence of AI and HPC.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation.

[BibT_eX]

[DOI]

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

Understanding The Robustness in Vision Transformers.

[BibT_eX]

[DOI]

Jiashi Feng

José M. Álvarez

Proceedings of the International Conference on Machine Learning, 2022

Diffusion Models for Adversarial Purification.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Langevin Monte Carlo for Contextual Bandits.

[BibT_eX]

[DOI]

Pan Xu

Hongkai Zheng

Eric V. Mazumdar

Proceedings of the International Conference on Machine Learning, 2022

RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Augmenting Deep Classifiers with Polynomial Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

AdvDO: Realistic Adversarial Attacks for Trajectory Prediction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Generic lithography modeling with dual-band optics-inspired neural networks.

[BibT_eX]

[DOI]

Haoyu Yang

Kumara Sastry

Saumyadip Mukhopadhyay

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

FreeSOLO: Learning to Segment Objects without Annotations.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Robust Trajectory Prediction against Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

Thompson Sampling Achieves $\tilde{O}(\sqrt{T})$ Regret in Linear Quadratic Control.

[BibT_eX]

[DOI]

Taylan Kargin

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

Machine Learning Accelerated PDE Backstepping Observers.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Stability Constrained Reinforcement Learning for Real-Time Voltage Control.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2022

Reinforcement Learning with Fast Stabilization in Linear Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems.

[BibT_eX]

[DOI]

Yashwanth Kumar Nakka

IEEE Robotics Autom. Lett., 2021

Tensor Methods in Computer Vision and Deep Learning.

[BibT_eX]

[DOI]

Proc. IEEE, 2021

Tensor Dropout for Robust Learning.

[BibT_eX]

[DOI]

Arinbjörn Kolbeinsson

Yannis Panagakis

Adrian Bulat

Ioanna Tzoulaki

Paul M. Matthews

IEEE J. Sel. Top. Signal Process., 2021

Few-shot Instruction Prompts for Pretrained Language Models to Detect Social Biases.

[BibT_eX]

[DOI]

CoRR, 2021

CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Simulation Intelligence: Towards a New Generation of Scientific Methods.

[BibT_eX]

[DOI]

CoRR, 2021

Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers.

[BibT_eX]

[DOI]

CoRR, 2021

Polymatrix Competitive Gradient Descent.

[BibT_eX]

[DOI]

CoRR, 2021

Physics-Informed Neural Operator for Learning Partial Differential Equations.

[BibT_eX]

[DOI]

CoRR, 2021

Reinforcement Learning in Factored Action Spaces using Tensor Decompositions.

[BibT_eX]

[DOI]

CoRR, 2021

ZerO Initialization: Initializing Residual Networks with only Zeros and Ones.

[BibT_eX]

[DOI]

CoRR, 2021

Auditing AI models for Verified Deployment under Semantic Specifications.

[BibT_eX]

[DOI]

CoRR, 2021

Panoptic SegFormer.

[BibT_eX]

[DOI]

CoRR, 2021

U-FNO - an enhanced Fourier neural operator based-deep learning model for multiphase flow.

[BibT_eX]

[DOI]

Gege Wen

Sally M. Benson

CoRR, 2021

Neural Operator: Learning Maps Between Function Spaces.

[BibT_eX]

[DOI]

Burigede Liu

Kaushik Bhattacharya

Andrew M. Stuart

CoRR, 2021

Low-Precision Training in Logarithmic Number System using Multiplicative Weight Update.

[BibT_eX]

[DOI]

Steve Dai

Rangharajan Venkatesan

CoRR, 2021

Towards Reducing Labeling Cost in Deep Object Detection.

[BibT_eX]

[DOI]

CoRR, 2021

Markov Neural Operators for Learning Chaotic Systems.

[BibT_eX]

[DOI]

CoRR, 2021

UNiTE: Unitary N-body Tensor Equivariant Network with Applications to Quantum Chemistry.

[BibT_eX]

[DOI]

Zhuoran Qiao

Anders S. Christensen

CoRR, 2021

Disentangling Observed Causal Effects from Latent Confounders using Method of Moments.

[BibT_eX]

[DOI]

Hao Liu

Tongxin Li

Saeed Karimi-Bidhendi

CoRR, 2021

Competitive policy optimization.

[BibT_eX]

[DOI]

Manish Prajapat

Alexander Liniger

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Long-Short Transformer: Efficient Transformers for Language and Vision.

[BibT_eX]

[DOI]

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

Coupled Segmentation and Edge Learning via Dynamic Graph Propagation.

[BibT_eX]

[DOI]

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

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers.

[BibT_eX]

[DOI]

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

AugMax: Adversarial Composition of Random Augmentations for Robust Training.

[BibT_eX]

[DOI]

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

Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions.

[BibT_eX]

[DOI]

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

Controllable and Compositional Generation with Latent-Space Energy-Based Models.

[BibT_eX]

[DOI]

Weili Nie

Arash Vahdat

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

Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds.

[BibT_eX]

[DOI]

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

ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Robust Reinforcement Learning: A Constrained Game-theoretic Approach.

[BibT_eX]

[DOI]

Jing Yu

Clement Gehring

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Stable Online Control of Linear Time-Varying Systems.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Stability and Identification of Random Asynchronous Linear Time-Invariant Systems.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Dynamic Social Media Monitoring for Fast-Evolving Online Discussions.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Generating and Characterizing Scenarios for Safety Testing of Autonomous Vehicles.

[BibT_eX]

[DOI]

Zahra Ghodsi

Siva Kumar Sastry Hari

Iuri Frosio

Timothy Tsai

Alejandro J. Troccoli

Stephen W. Keckler

Siddharth Garg

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Unsupervised Controllable Generation with Self-Training.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Fast Uncertainty Quantification for Deep Object Pose Estimation.

[BibT_eX]

[DOI]

Yuke Zhu

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects.

[BibT_eX]

[DOI]

Xinlei Pan

Animesh Garg

Yuke Zhu

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection.

[BibT_eX]

[DOI]

Nadine Chang

Yu-Xiong Wang

Sanja Fidler

José M. Álvarez

Proceedings of the 38th International Conference on Machine Learning, 2021

Fourier Neural Operator for Parametric Partial Differential Equations.

[BibT_eX]

[DOI]

Nikola Borislavov Kovachki

Proceedings of the 9th International Conference on Learning Representations, 2021

Contrastive Syn-to-Real Generalization.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision.

[BibT_eX]

[DOI]

Shiyi Lan

Christopher B. Choy

Subhashree Radhakrishnan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Self-Calibrating Neural Radiance Fields.

[BibT_eX]

[DOI]

Yoonwoo Jeong

Seokjun Ahn

Christopher B. Choy

Minsu Cho

Jaesik Park

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Model Learning Predictive Control in Nonlinear Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Adaptive Control and Regret Minimization in Linear Quadratic Gaussian (LQG) Setting.

[BibT_eX]

[DOI]

Proceedings of the 2021 American Control Conference, 2021

Active Learning under Label Shift.

[BibT_eX]

[DOI]

Eric Zhao

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Deep Bayesian Quadrature Policy Optimization.

[BibT_eX]

[DOI]

Ravi Tej Akella

Mohammad Ghavamzadeh

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Tensor Regression Networks.

[BibT_eX]

[DOI]

Zachary C. Lipton

Arinbjörn Kolbeinsson

Aran Khanna

Tommaso Furlanello

J. Mach. Learn. Res., 2020

Multi-task learning for electronic structure to predict and explore molecular potential energy surfaces.

[BibT_eX]

[DOI]

Frederick R. Manby

Thomas F. Miller III

CoRR, 2020

Distributionally Robust Learning for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2020

Deep learning-based computer vision to recognize and classify suturing gestures in robot-assisted surgery.

[BibT_eX]

[DOI]

Francisco Luongo

Ryan Hakim

Jessica H. Nguyen

Andrew J. Hung

CoRR, 2020

Explore More and Improve Regret in Linear Quadratic Regulators.

[BibT_eX]

[DOI]

CoRR, 2020

OrbNet: Deep Learning for Quantum Chemistry Using Symmetry-Adapted Atomic-Orbital Features.

[BibT_eX]

[DOI]

Zhuoran Qiao

Matthew Welborn

Frederick R. Manby

Thomas F. Miller III

CoRR, 2020

Competitive Mirror Descent.

[BibT_eX]

[DOI]

Houman Owhadi

CoRR, 2020

Regret Bound of Adaptive Control in Linear Quadratic Gaussian (LQG) Systems.

[BibT_eX]

[DOI]

CoRR, 2020

Neural Operator: Graph Kernel Network for Partial Differential Equations.

[BibT_eX]

[DOI]

CoRR, 2020

Convolutional Tensor-Train LSTM for Spatio-temporal Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Regret Minimization in Partially Observable Linear Quadratic Control.

[BibT_eX]

[DOI]

CoRR, 2020

OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation.

[BibT_eX]

[DOI]

Hongyu Ren

Yuke Zhu

Jure Leskovec

Animesh Garg

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

MeshfreeFlowNet: a physics-constrained deep continuous space-time super-resolution framework.

[BibT_eX]

[DOI]

Chiyu Max Jiang

Soheil Esmaeilzadeh

Proceedings of the International Conference for High Performance Computing, 2020

Convolutional Tensor-Train LSTM for Spatio-Temporal Learning.

[BibT_eX]

[DOI]

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

Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning.

[BibT_eX]

[DOI]

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

Multipole Graph Neural Operator for Parametric Partial Differential Equations.

[BibT_eX]

[DOI]

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

Causal Discovery in Physical Systems from Videos.

[BibT_eX]

[DOI]

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

Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems.

[BibT_eX]

[DOI]

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

Neural Networks with Recurrent Generative Feedback.

[BibT_eX]

[DOI]

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

Learning compositional functions via multiplicative weight updates.

[BibT_eX]

[DOI]

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

Robust Regression for Safe Exploration in Control.

[BibT_eX]

[DOI]

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

Implicit competitive regularization in GANs.

[BibT_eX]

[DOI]

Hongkai Zheng

Proceedings of the 37th International Conference on Machine Learning, 2020

Semi-Supervised StyleGAN for Disentanglement Learning.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Automated Synthetic-to-Real Generalization.

[BibT_eX]

[DOI]

Wuyang Chen

Zhangyang Wang

Proceedings of the 37th International Conference on Machine Learning, 2020

Angular Visual Hardness.

[BibT_eX]

[DOI]

Anshumali Shrivastava

Animesh Garg

Proceedings of the 37th International Conference on Machine Learning, 2020

Role of HPC in next-generation AI.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Conference on High Performance Computing, 2020

MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Higher-Order Count Sketch: Dimensionality Reduction that Retains Efficient Tensor Operations.

[BibT_eX]

[DOI]

Proceedings of the Data Compression Conference, 2020

Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

Learning Pose Estimation for UAV Autonomous Navigation and Landing Using Visual-Inertial Sensor Data.

[BibT_eX]

[DOI]

Francesca Baldini

Richard M. Murray

Proceedings of the 2020 American Control Conference, 2020

2019

TensorLy: Tensor Learning in Python.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2019

Spectral Learning on Matrices and Tensors.

[BibT_eX]

[DOI]

Found. Trends Mach. Learn., 2019

Learning Pose Estimation for UAV Autonomous Navigation andLanding Using Visual-Inertial Sensor Data.

[BibT_eX]

[DOI]

Francesca Baldini

Richard M. Murray

CoRR, 2019

InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers.

[BibT_eX]

[DOI]

CoRR, 2019

Triply Robust Off-Policy Evaluation.

[BibT_eX]

[DOI]

CoRR, 2019

Finding Social Media Trolls: Dynamic Keyword Selection Methods for Rapidly-Evolving Online Debates.

[BibT_eX]

[DOI]

CoRR, 2019

Memory Augmented Recursive Neural Networks.

[BibT_eX]

[DOI]

Zhichu Lu

Sameer Singh

CoRR, 2019

Out-of-Distribution Detection Using Neural Rendering Generative Models.

[BibT_eX]

[DOI]

CoRR, 2019

Directivity Modes of Earthquake Populations with Unsupervised Learning.

[BibT_eX]

[DOI]

Zachary E. Ross

Daniel T. Trugman

CoRR, 2019

Learning Causal State Representations of Partially Observable Environments.

[BibT_eX]

[DOI]

Amy Zhang

Zachary C. Lipton

Luis Pineda

CoRR, 2019

Stochastically Rank-Regularized Tensor Regression Networks.

[BibT_eX]

[DOI]

Arinbjörn Kolbeinsson

CoRR, 2019

Multi-dimensional Tensor Sketch.

[BibT_eX]

[DOI]

CoRR, 2019

Stochastic Linear Bandits with Hidden Low Rank Structure.

[BibT_eX]

[DOI]

CoRR, 2019

Guaranteed Scalable Learning of Latent Tree Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Competitive Gradient Descent.

[BibT_eX]

[DOI]

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

Neural Lander: Stable Drone Landing Control Using Learned Dynamics.

[BibT_eX]

[DOI]

Soon-Jo Chung

Proceedings of the International Conference on Robotics and Automation, 2019

Multi Sense Embeddings from Topic Models.

[BibT_eX]

Proceedings of the 3rd International Conference on Natural Language and Speech Processing, 2019

Open Vocabulary Learning on Source Code with a Graph-Structured Cache.

[BibT_eX]

[DOI]

Milan Cvitkovic

Badal Singh

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

Active Learning with Partial Feedback.

[BibT_eX]

[DOI]

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

signSGD with Majority Vote is Communication Efficient and Fault Tolerant.

[BibT_eX]

[DOI]

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

Regularized Learning for Domain Adaptation under Label Shifts.

[BibT_eX]

[DOI]

Fanny Yang

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

2018

Neural Rendering Model: Joint Generation and Prediction for Semi-Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Trust Region Policy Optimization of POMDPs.

[BibT_eX]

[DOI]

Manish Kumar Bera

CoRR, 2018

signSGD with Majority Vote is Communication Efficient And Byzantine Fault Tolerant.

[BibT_eX]

[DOI]

CoRR, 2018

Sample-Efficient Deep RL with Generative Adversarial Tree Search.

[BibT_eX]

[DOI]

CoRR, 2018

Combining Symbolic and Function Evaluation Expressions In Neural Programs.

[BibT_eX]

[DOI]

Sameer Singh

CoRR, 2018

Efficient Exploration Through Bayesian Deep Q-Networks.

[BibT_eX]

[DOI]

Emma Brunskill

Proceedings of the 2018 Information Theory and Applications Workshop, 2018

StrassenNets: Deep Learning with a Multiplication Budget.

[BibT_eX]

[DOI]

Michael Tschannen

Aran Khanna

Proceedings of the 35th International Conference on Machine Learning, 2018

Born-Again Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

SIGNSGD: Compressed Optimisation for Non-Convex Problems.

[BibT_eX]

[DOI]

Yu-Xiang Wang

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning From Noisy Singly-labeled Data.

[BibT_eX]

[DOI]

Ashish Khetan

Zachary C. Lipton

Proceedings of the 6th International Conference on Learning Representations, 2018

Stochastic Activation Pruning for Robust Adversarial Defense.

[BibT_eX]

[DOI]

Guneet S. Dhillon

Proceedings of the 6th International Conference on Learning Representations, 2018

Compression by the signs: distributed learning is a two-way street.

[BibT_eX]

[DOI]

Yu-Xiang Wang

Proceedings of the 6th International Conference on Learning Representations, 2018

Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs.

[BibT_eX]

[DOI]

Sameer Singh

Proceedings of the 6th International Conference on Learning Representations, 2018

Question Type Guided Attention in Visual Question Answering.

[BibT_eX]

[DOI]

Tommaso Furlanello

Sheng Zha

Proceedings of the Computer Vision - ECCV 2018, 2018

Probabilistic FastText for Multi-Sense Word Embeddings.

[BibT_eX]

[DOI]

Ben Athiwaratkun

Andrew Gordon Wilson

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

A Clustering Approach to Learning Sparsely Used Overcomplete Dictionaries.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2017

Analyzing Tensor Power Method Dynamics in Overcomplete Regime.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Long-term Forecasting using Tensor-Train RNNs.

[BibT_eX]

[DOI]

CoRR, 2017

Compact Tensor Pooling for Visual Question Answering.

[BibT_eX]

[DOI]

Tommaso Furlanello

CoRR, 2017

Tensor Regression Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Experimental results : Reinforcement Learning of POMDPs using Spectral Methods.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Active Learning for Named Entity Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Tensor Contraction Layers for Parsimonious Deep Nets.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Homotopy Analysis for Tensor PCA.

[BibT_eX]

[DOI]

Proceedings of the 30th Conference on Learning Theory, 2017

Spectral Methods for Correlated Topic Models.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization.

[BibT_eX]

[DOI]

SIAM J. Optim., 2016

Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152).

[BibT_eX]

[DOI]

Evrim Acar

Lenore Mullin

Sebnem Rusitschka

Volker Tresp

Dagstuhl Reports, 2016

Training Input-Output Recurrent Neural Networks through Spectral Methods.

[BibT_eX]

[DOI]

CoRR, 2016

Unsupervised learning of transcriptional regulatory networks via latent tree graphical models.

[BibT_eX]

[DOI]

Anthony Gitter

Ragupathyraj Valluvan

Ernest Fraenkel

CoRR, 2016

Reinforcement Learning of Contextual MDPs using Spectral Methods.

[BibT_eX]

[DOI]

CoRR, 2016

Reinforcement Learning of POMDP's using Spectral Methods.

[BibT_eX]

[DOI]

CoRR, 2016

Beyond LDA: A Unified Framework for Learning Latent Normalized Infinitely Divisible Topic Models through Spectral Methods.

[BibT_eX]

[DOI]

CoRR, 2016

Homotopy Method for Tensor Principal Component Analysis.

[BibT_eX]

[DOI]

CoRR, 2016

Online and Differentially-Private Tensor Decomposition.

[BibT_eX]

[DOI]

Yining Wang

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

Tensor Contractions with Extended BLAS Kernels on CPU and GPU.

[BibT_eX]

[DOI]

Cris Cecka

Proceedings of the 23rd IEEE International Conference on High Performance Computing, 2016

Open Problem: Approximate Planning of POMDPs in the class of Memoryless Policies.

[BibT_eX]

[DOI]

Proceedings of the 29th Conference on Learning Theory, 2016

Reinforcement Learning of POMDPs using Spectral Methods.

[BibT_eX]

[DOI]

Proceedings of the 29th Conference on Learning Theory, 2016

Efficient approaches for escaping higher order saddle points in non-convex optimization.

[BibT_eX]

[DOI]

Proceedings of the 29th Conference on Learning Theory, 2016

Provable Tensor Methods for Learning Mixtures of Generalized Linear Models.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

Online tensor methods for learning latent variable models.

[BibT_eX]

[DOI]

Mohammad Umar Hakeem

J. Mach. Learn. Res., 2015

When are overcomplete topic models identifiable? uniqueness of tensor tucker decompositions with structured sparsity.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2015

Provable Methods for Training Neural Networks with Sparse Connectivity.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Learning Representations, 2015

Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models.

[BibT_eX]

[DOI]

Tejaswi Nimmagadda

CoRR, 2015

Generalization Bounds for Neural Networks through Tensor Factorization.

[BibT_eX]

[DOI]

CoRR, 2015

Score Function Features for Discriminative Learning.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Learning Representations, 2015

Learning Mixed Membership Community Models in Social Tagging Networks through Tensor Methods.

[BibT_eX]

[DOI]

CoRR, 2015

A Spectral Algorithm for Latent Dirichlet Allocation.

[BibT_eX]

[DOI]

Algorithmica, 2015

Fast and Guaranteed Tensor Decomposition via Sketching.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

FEAST at Play: Feature ExtrAction using Score function Tensors.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

Convolutional Dictionary Learning through Tensor Factorization.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

Are You Going to the Party: Depends, Who Else is Coming?: [Learning Hidden Group Dynamics via Conditional Latent Tree Models].

[BibT_eX]

[DOI]

Carter T. Butts

Sean M. Fitzhugh

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Learning Overcomplete Latent Variable Models through Tensor Methods.

[BibT_eX]

[DOI]

Proceedings of The 28th Conference on Learning Theory, 2015

Tensor Decompositions for Learning Latent Variable Models (A Survey for ALT).

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory - 26th International Conference, 2015

2014

Active Learning of Multiple Source Multiple Destination Topologies.

[BibT_eX]

[DOI]

Pegah Sattari

Maciej Kurant

Athina Markopoulou

Michael G. Rabbat

IEEE Trans. Signal Process., 2014

High-dimensional covariance decomposition into sparse Markov and independence models.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

Tensor decompositions for learning latent variable models.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

A tensor approach to learning mixed membership community models.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2014

Guarantees for Multi-Step Stochastic ADMM in High Dimensions.

[BibT_eX]

[DOI]

Edmond A. Jonckheere

CoRR, 2014

Provable Tensor Methods for Learning Mixtures of Classifiers.

[BibT_eX]

[DOI]

CoRR, 2014

Score Function Features for Discriminative Learning: Matrix and Tensor Framework.

[BibT_eX]

[DOI]

CoRR, 2014

Integrated Structure and Parameters Learning in Latent Tree Graphical Models.

[BibT_eX]

[DOI]

CoRR, 2014

Modeling Dynamic Social Interactions via Conditional Latent Tree Models.

[BibT_eX]

[DOI]

Carter T. Butts

CoRR, 2014

Analyzing Tensor Power Method Dynamics: Applications to Learning Overcomplete Latent Variable Models.

[BibT_eX]

[DOI]

CoRR, 2014

Provable Learning of Overcomplete Latent Variable Models: Semi-supervised and Unsupervised Settings.

[BibT_eX]

[DOI]

CoRR, 2014

Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-1 Updates.

[BibT_eX]

[DOI]

CoRR, 2014

Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition.

[BibT_eX]

[DOI]

Edmond A. Jonckheere

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Non-convex Robust PCA.

[BibT_eX]

[DOI]

Sujay Sanghavi

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Nonparametric Estimation of Multi-View Latent Variable Models.

[BibT_eX]

[DOI]

Le Song

Bo Dai

Bo Xie

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

Learning Sparsely Used Overcomplete Dictionaries.

[BibT_eX]

[DOI]

Rashish Tandon

Proceedings of The 27th Conference on Learning Theory, 2014

2013

Topology discovery of sparse random graphs with few participants.

[BibT_eX]

[DOI]

Avinatan Hassidim

Jonathan A. Kelner

Random Struct. Algorithms, 2013

Seeing through black boxes: Tracking transactions through queues under monitoring resource constraints.

[BibT_eX]

[DOI]

Ting He

Perform. Evaluation, 2013

Fast Detection of Overlapping Communities via Online Tensor Methods on GPUs.

[BibT_eX]

[DOI]

CoRR, 2013

Exact Recovery of Sparsely Used Overcomplete Dictionaries.

[BibT_eX]

[DOI]

CoRR, 2013

Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization.

[BibT_eX]

[DOI]

Rashish Tandon

CoRR, 2013

FCD: Fast-concurrent-distributed load balancing under switching costs and imperfect observations.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

Learning Linear Bayesian Networks with Latent Variables.

[BibT_eX]

[DOI]

Adel Javanmard

Proceedings of the 30th International Conference on Machine Learning, 2013

Robust noncooperative rate-maximization game for MIMO Gaussian interference channels under bounded channel uncertainty.

[BibT_eX]

[DOI]

Amod J. G. Anandkumar

Sangarapillai Lambotharan

Jonathon A. Chambers

Proceedings of the IEEE International Conference on Acoustics, 2013

A Tensor Spectral Approach to Learning Mixed Membership Community Models.

[BibT_eX]

[DOI]

Proceedings of the COLT 2013, 2013

2012

Feedback Message Passing for Inference in Gaussian Graphical Models.

[BibT_eX]

[DOI]

Ying Liu

Venkat Chandrasekaran

IEEE Trans. Signal Process., 2012

High-dimensional Gaussian graphical model selection: walk summability and local separation criterion.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2012

A Method of Moments for Mixture Models and Hidden Markov Models.

[BibT_eX]

[DOI]

Proceedings of the COLT 2012, 2012

Two SVDs Suffice: Spectral decompositions for probabilistic topic modeling and latent Dirichlet allocation

[BibT_eX]

[DOI]

CoRR, 2012

Learning Loopy Graphical Models with Latent Variables: Efficient Methods and Guarantees

[BibT_eX]

[DOI]

Ragupathyraj Valluvan

CoRR, 2012

Learning High-Dimensional Mixtures of Graphical Models

[BibT_eX]

[DOI]

CoRR, 2012

Latent Graphical Model Selection: Efficient Methods for Locally Tree-like Graphs.

[BibT_eX]

[DOI]

Ragupathyraj Valluvan

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Learning Mixtures of Tree Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

High-Dimensional Covariance Decomposition into Sparse Markov and Independence Domains.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Robust Rate Maximization Game Under Bounded Channel Uncertainty.

[BibT_eX]

[DOI]

Amod J. G. Anandkumar

Sangarapillai Lambotharan

Jonathon A. Chambers

IEEE Trans. Veh. Technol., 2011

A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2011

Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret.

[BibT_eX]

[DOI]

Nithin Michael

Ao Kevin Tang

IEEE J. Sel. Areas Commun., 2011

Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

Learning Latent Tree Graphical Models.

[BibT_eX]

[DOI]

Myung Jin Choi

J. Mach. Learn. Res., 2011

High-Dimensional Structure Estimation in Ising Models: Tractable Graph Families

[BibT_eX]

[DOI]

CoRR, 2011

High-Dimensional Gaussian Graphical Model Selection: Tractable Graph Families

[BibT_eX]

[DOI]

CoRR, 2011

High-Dimensional Graphical Model Selection: Tractable Graph Families and Necessary Conditions.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Spectral Methods for Learning Multivariate Latent Tree Structure.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Summary based structures with improved sublinear recovery for compressed sensing.

[BibT_eX]

[DOI]

M. Amin Khajehnejad

Juhwan Yoo

Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Index-based sampling policies for tracking dynamic networks under sampling constraints.

[BibT_eX]

[DOI]

Ting He

Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Energy-latency tradeoff for in-network function computation in random networks.

[BibT_eX]

[DOI]

Paul Balister

Béla Bollobás

Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

2010

Learning Gaussian tree models: analysis of error exponents and extremal structures.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

Error exponents for composite hypothesis testing of Markov forest distributions.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2010

Limit laws for random spatial graphical models.

[BibT_eX]

[DOI]

Joseph E. Yukich

Proceedings of the IEEE International Symposium on Information Theory, 2010

Opportunistic Spectrum Access with Multiple Users: Learning under Competition.

[BibT_eX]

[DOI]

Nithin Michael

Ao Tang

Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

Scaling laws for learning high-dimensional Markov forest distributions.

[BibT_eX]

[DOI]

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

Consistent and efficient reconstruction of latent tree models.

[BibT_eX]

[DOI]

Myung Jin Choi

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009

Detection of Gauss-Markov Random Fields With Nearest-Neighbor Dependency.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2009

Selectively retrofitting monitoring in distributed systems.

[BibT_eX]

[DOI]

Ting He

SIGMETRICS Perform. Evaluation Rev., 2009

Energy Scaling Laws for Distributed Inference in Random Fusion Networks.

[BibT_eX]

[DOI]

Joseph E. Yukich

IEEE J. Sel. Areas Commun., 2009

A large-deviation analysis for the maximum likelihood learning of tree structures.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2009

Detection error exponent for spatially dependent samples in random networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2009

Prize-Collecting Data Fusion for Cost-Performance Tradeoff in Distributed Inference.

[BibT_eX]

[DOI]

Meng Wang

Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

How do the structure and the parameters of Gaussian tree models affect structure learning?

[BibT_eX]

[DOI]

Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008

Optimal Node Density for Detection in Energy-Constrained Random Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2008

Distributed Estimation Via Random Access.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2008

Energy Scaling Laws for Distributed Inference in Random Networks

[BibT_eX]

[DOI]

Joseph E. Yukich

CoRR, 2008

Tracking in a spaghetti bowl: monitoring transactions using footprints.

[BibT_eX]

[DOI]

Proceedings of the 2008 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2008

Non-intrusive transaction monitoring using system logs.

[BibT_eX]

[DOI]

Bikram Sengupta

Nilanjan Banerjee

Proceedings of the IEEE/IFIP Network Operations and Management Symposium: Pervasive Management for Ubioquitous Networks and Services, 2008

Cost-performance tradeoff in multi-hop aggregation for statistical inference.

[BibT_eX]

[DOI]

Anthony Ephremides

Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

Minimum Cost Data Aggregation with Localized Processing for Statistical Inference.

[BibT_eX]

[DOI]

Anthony Ephremides

Proceedings of the INFOCOM 2008. 27th IEEE International Conference on Computer Communications, 2008

Min-min times in peer-to-peer file sharing networks.

[BibT_eX]

[DOI]

G. Matthew Ezovski

Ao Kevin Tang

Lachlan L. H. Andrew

Proceedings of the 46th Annual Allerton Conference on Communication, 2008

2007

Type-Based Random Access for Distributed Detection Over Multiaccess Fading Channels.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2007

Detection of Gauss-Markov Random Field on Nearest-Neighbor Graph.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

Energy Efficient Routing for Statistical Inference of Markov Random Fields.

[BibT_eX]

[DOI]

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

2006

A Large Deviation Analysis of Detection Over Multi-Access Channels with Random Number of Sensors.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Distributed Statistical Inference using Type Based Random Access over Multi-access Fading Channels.

[BibT_eX]

[DOI]