Chinmay Hegde

Eng. Comput., October, 2024

Vision-Language Models Can Identify Distracted Driver Behavior From Naturalistic Videos.

[BibT_eX]

[DOI]

Md. Zahid Hasan

Jiajing Chen

Jiyang Wang

Mohammed Shaiqur Rahman

IEEE Trans. Intell. Transp. Syst., September, 2024

ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models.

[BibT_eX]

[DOI]

Proc. VLDB Endow., May, 2024

SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification.

[BibT_eX]

[DOI]

CoRR, 2024

FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries.

[BibT_eX]

[DOI]

Suriya Dhakshinamoorthy

CoRR, 2024

Evaluation and Comparison of Visual Language Models for Transportation Engineering Problems.

[BibT_eX]

[DOI]

Sanjita Prajapati

Tanu Singh

Pranamesh Chakraborty

CoRR, 2024

AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs.

[BibT_eX]

[DOI]

Muhammad Arbab Arshad

CoRR, 2024

Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing.

[BibT_eX]

[DOI]

CoRR, 2024

LiveBench: A Challenging, Contamination-Free LLM Benchmark.

[BibT_eX]

[DOI]

CoRR, 2024

Arboretum: A Large Multimodal Dataset Enabling AI for Biodiversity.

[BibT_eX]

[DOI]

CoRR, 2024

Robust Concept Erasure Using Task Vectors.

[BibT_eX]

[DOI]

CoRR, 2024

AI-assisted Tagging of Deepfake Audio Calls using Challenge-Response.

[BibT_eX]

[DOI]

CoRR, 2024

TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks.

[BibT_eX]

[DOI]

Robin Tibor Schirrmeister

CoRR, 2024

Neural PDE Solvers for Irregular Domains.

[BibT_eX]

[DOI]

Comput. Aided Des., 2024

Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

Circumventing Concept Erasure Methods For Text-To-Image Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Mitigating the Impact of Attribute Editing on Face Recognition.

[BibT_eX]

[DOI]

Sudipta Banerjee

Sai Pranaswi Mullangi

Shruti Wagle

Nasir D. Memon

Proceedings of the IEEE International Joint Conference on Biometrics, 2024

Gotcha: Real-Time Video Deepfake Detection via Challenge-Response.

[BibT_eX]

[DOI]

Govind Mittal

Nasir D. Memon

Proceedings of the 9th IEEE European Symposium on Security and Privacy, 2024

DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models.

[BibT_eX]

[DOI]

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

SDFConnect: Neural Implicit Surface Reconstruction of a Sparse Point Cloud with Topological Constraints.

[BibT_eX]

[DOI]

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

Agnostic Active Learning of Single Index Models with Linear Sample Complexity.

[BibT_eX]

[DOI]

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Distributionally Robust Classification on a Data Budget.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks.

[BibT_eX]

[DOI]

Niv Cohen

CoRR, 2023

Exploring Dataset-Scale Indicators of Data Quality.

[BibT_eX]

[DOI]

CoRR, 2023

PriViT: Vision Transformers for Fast Private Inference.

[BibT_eX]

[DOI]

CoRR, 2023

On the Fine-Grained Hardness of Inverting Generative Models.

[BibT_eX]

[DOI]

Feyza Duman Keles

CoRR, 2023

Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension.

[BibT_eX]

[DOI]

Anushrut Jignasu

Kelly O. Marshall

CoRR, 2023

Circumventing Concept Erasure Methods For Text-to-Image Generative Models.

[BibT_eX]

[DOI]

Minh Pham

Kelly O. Marshall

CoRR, 2023

ZeroForge: Feedforward Text-to-Shape Without 3D Supervision.

[BibT_eX]

[DOI]

CoRR, 2023

LiT Tuned Models for Efficient Species Detection.

[BibT_eX]

[DOI]

Andre Nakkab

Pruthuvi Mahesakya Wijewardena

CoRR, 2023

Pathfinding Neural Cellular Automata.

[BibT_eX]

[DOI]

CoRR, 2023

Implicit Regularization for Group Sparsity.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Identity-Preserving Aging of Face Images via Latent Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Joint Conference on Biometrics, 2023

On The Computational Complexity of Self-Attention.

[BibT_eX]

[DOI]

Feyza Duman Keles

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

Active Learning for Single Neuron Models with Lipschitz Non-Linearities.

[BibT_eX]

[DOI]

Aarshvi Gajjar

Christopher Musco

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

2022

Provable Compressed Sensing With Generative Priors via Langevin Dynamics.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2022

The Stochastic Augmented Lagrangian method for domain adaptation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Sphynx: A Deep Neural Network Design for Private Inference.

[BibT_eX]

[DOI]

IEEE Secur. Priv., 2022

Neural PDE Solvers for Irregular Domains.

[BibT_eX]

[DOI]

CoRR, 2022

Caption supervision enables robust learners.

[BibT_eX]

[DOI]

CoRR, 2022

Gotcha: A Challenge-Response System for Real-Time Deepfake Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Revisiting Self-Distillation.

[BibT_eX]

[DOI]

CoRR, 2022

A Meta-Analysis of Distributionally-Robust Models.

[BibT_eX]

[DOI]

CoRR, 2022

Smooth-Reduce: Leveraging Patches for Improved Certified Robustness.

[BibT_eX]

[DOI]

CoRR, 2022

NURBS-Diff: A Differentiable Programming Module for NURBS.

[BibT_eX]

[DOI]

Comput. Aided Des., 2022

Selective Network Linearization for Efficient Private Inference.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Inverse Imaging with Generative Priors Via Langevin Dynamics.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Distributed Online Non-convex Optimization with Composite Regret.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

MDPGT: Momentum-Based Decentralized Policy Gradient Tracking.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Benefits of Jointly Training Autoencoders: An Improved Neural Tangent Kernel Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2021

Fast inverse design of microstructures via generative invariance networks.

[BibT_eX]

[DOI]

Xian Yeow Lee

Joshua R. Waite

Chih-Hsuan Yang

Nat. Comput. Sci., 2021

On Consensus-Optimality Trade-offs in Collaborative Deep Learning.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., 2021

Adversarially Robust Learning via Entropic Regularization.

[BibT_eX]

[DOI]

Animesh Basak Chowdhury

Siddharth Garg

Frontiers Artif. Intell., 2021

Sparse signal recovery from modulo observations.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2021

Adversarial Token Attacks on Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2021

Implicit Sparse Regularization: The Impact of Depth and Early Stopping.

[BibT_eX]

[DOI]

CoRR, 2021

Sphynx: ReLU-Efficient Network Design for Private Inference.

[BibT_eX]

[DOI]

CoRR, 2021

Provably Convergent Algorithms for Solving Inverse Problems Using Generative Models.

[BibT_eX]

[DOI]

CoRR, 2021

Distributed multigrid neural solvers on megavoxel domains.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2021

Implicit Sparse Regularization: The Impact of Depth and Early Stopping.

[BibT_eX]

[DOI]

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

Differentiable Spline Approximations.

[BibT_eX]

[DOI]

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

Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data.

[BibT_eX]

[DOI]

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

Decentralized Deep Learning Using Momentum-Accelerated Consensus.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Sample Efficient Fourier Ptychography for Structured Data.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2020

Adversarially Robust Learning via Entropic Regularization.

[BibT_eX]

[DOI]

Animesh Basak Chowdhury

Siddharth Garg

CoRR, 2020

Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models.

[BibT_eX]

[DOI]

CoRR, 2020

Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery.

[BibT_eX]

[DOI]

CoRR, 2020

ESPN: Extremely Sparse Pruned Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Generative Models that Solve PDEs: Distributed Computing for Training Large Data-Free Models.

[BibT_eX]

[DOI]

Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020

High Dynamic Range Imaging Using Deep Image Priors.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

The Benefits of Side Information for Structured Phase Retrieval.

[BibT_eX]

[DOI]

M. Salman Asif

Proceedings of the 28th European Signal Processing Conference, 2020

Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Fast and Provable Algorithms for Learning Two-Layer Polynomial Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2019

Sample-Efficient Algorithms for Recovering Structured Signals From Magnitude-Only Measurements.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2019

Provably Accurate Double-Sparse Coding.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2019

On Higher-order Moments in Adam.

[BibT_eX]

[DOI]

CoRR, 2019

One-Shot Neural Architecture Search via Compressive Sensing.

[BibT_eX]

[DOI]

CoRR, 2019

Encoding Invariances in Deep Generative Models.

[BibT_eX]

[DOI]

Sambuddha Ghosal

CoRR, 2019

A Kaczmarz Algorithm for Solving Tree Based Distributed Systems of Equations.

[BibT_eX]

[DOI]

Fritz Keinert

Eric S. Weber

CoRR, 2019

Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors.

[BibT_eX]

[DOI]

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

Linearly Convergent Algorithms for Learning Shallow Residual Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Alternating Phase Projected Gradient Descent with Generative Priors for Solving Compressive Phase Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Reducing the Search Space for Hyperparameter Optimization Using Group Sparsity.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Signal Reconstruction From Modulo Observations.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Attribute-Controlled Traffic Data Augmentation Using Conditional Generative Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

On the Dynamics of Gradient Descent for Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Leaming Structured Signals Using GAN s with Applications in Denoising and Demixing.

[BibT_eX]

[DOI]

Swayambhoo Jain

Abhinav V. Sambasivan

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

Fourier Phase Retrieval with Side Information Using Generative Prior.

[BibT_eX]

[DOI]

Rakib Hyder

M. Salman Asif

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

2018

Physics-aware Deep Generative Models for Creating Synthetic Microstructures.

[BibT_eX]

[DOI]

Rahul Singh

CoRR, 2018

Learning ReLU Networks via Alternating Minimization.

[BibT_eX]

[DOI]

CoRR, 2018

Autoencoders Learn Generative Linear Models.

[BibT_eX]

[DOI]

CoRR, 2018

Freeway Traffic Incident Detection from Cameras: A Semi-Supervised Learning Approach.

[BibT_eX]

[DOI]

Pranamesh Chakraborty

Anuj Sharma

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Fast Low-Rank Matrix Estimation for Ill-Conditioned Matrices.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Towards Sample-Optimal Methods for Solving Random Quadratic Equations with Structure.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

On Learning Sparsely Used Dictionaries from Incomplete Samples.

[BibT_eX]

[DOI]

Akshay Soni

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

Model Corrected Low Rank Ptychography.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Solving Linear Inverse Problems Using Gan Priors: An Algorithm with Provable Guarantees.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Sub-Diffraction Imaging Using Fourier Ptychography and Structured Sparsity.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Low Rank Fourier Ptychography.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Phase Retrieval for Signals in Union of Subspaces.

[BibT_eX]

[DOI]

M. Salman Asif

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

Algorithmic Aspects of Inverse Problems Using Generative Models.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

Towards Provable Learning of Polynomial Neural Networks Using Low-Rank Matrix Estimation.

[BibT_eX]

[DOI]

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

A Provable Approach for Double-Sparse Coding.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Fast Algorithms for Demixing Sparse Signals From Nonlinear Observations.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2017

A Forward-Backward Approach for Visualizing Information Flow in Deep Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Phase Retrieval Using Structured Sparsity: A Sample Efficient Algorithmic Framework.

[BibT_eX]

[DOI]

CoRR, 2017

Collaborative Deep Learning in Fixed Topology Networks.

[BibT_eX]

[DOI]

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

Fast, Sample-Efficient Algorithms for Structured Phase Retrieval.

[BibT_eX]

[DOI]

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

Stable recovery of sparse vectors from random sinusoidal feature maps.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Demixing structured superposition signals from periodic and aperiodic nonlinear observations.

[BibT_eX]

[DOI]

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

Parallel computing heuristics for low-rank matrix completion.

[BibT_eX]

[DOI]

Charlie Hubbard

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

Reconstruction from periodic nonlinearities, with applications to HDR imaging.

[BibT_eX]

[DOI]

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

2016

Bilevel feature selection in nearly-linear time.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

A fast algorithm for demixing signals with structured sparsity.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Signal Processing and Communications (SPCOM), 2016

Fast recovery from a union of subspaces.

[BibT_eX]

[DOI]

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

A fast iterative algorithm for demixing sparse signals from nonlinear observations.

[BibT_eX]

[DOI]

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

Demixing sparse signals from nonlinear observations.

[BibT_eX]

[DOI]

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

2015

NuMax: A Convex Approach for Learning Near-Isometric Linear Embeddings.

[BibT_eX]

[DOI]

Wotao Yin

IEEE Trans. Signal Process., 2015

Approximation Algorithms for Model-Based Compressive Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2015

Fast Algorithms for Structured Sparsity.

[BibT_eX]

[DOI]

Bull. EATCS, 2015

Efficient Upsampling of Natural Images.

[BibT_eX]

[DOI]

Oncel Tuzel

Fatih Porikli

CoRR, 2015

Fast and Near-Optimal Algorithms for Approximating Distributions by Histograms.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM Symposium on Principles of Database Systems, 2015

A Nearly-Linear Time Framework for Graph-Structured Sparsity.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Seismic feature extraction using steiner tree methods.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Approximation-Tolerant Model-Based Compressive Sensing.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014

A fast approximation algorithm for tree-sparse recovery.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Automatic fault localization using the generalized Earth Mover's distance.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

LIE operators for compressive sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Nearly Linear-Time Model-Based Compressive Sensing.

[BibT_eX]

[DOI]

Proceedings of the Automata, Languages, and Programming - 41st International Colloquium, 2014

2013

Nearly optimal linear embeddings into very low dimensions.

[BibT_eX]

[DOI]

Elyot Grant

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

2012

Signal Recovery on Incoherent Manifolds.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2012

Multi-robot target verification with reachability constraints.

[BibT_eX]

[DOI]

Devin K. Grady

Mark Moll

Lydia E. Kavraki

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2012

Multi-objective sensor-based replanning for a car-like robot.

[BibT_eX]

[DOI]

Devin K. Grady

Mark Moll

Lydia E. Kavraki

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2012

Near-isometric linear embeddings of manifolds.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

SPIN: Iterative signal recovery on incoherent manifolds.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

2011

Sampling and Recovery of Pulse Streams.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2011

Go with the flow: Optical flow-based transport operators for image manifolds.

[BibT_eX]

[DOI]

Sriram Nagaraj

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

2010

Model-based compressive sensing.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2010

Joint Manifolds for Data Fusion.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2010

Texas Hold 'Em algorithms for distributed compressive sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2010

Compressive sensing of a superposition of pulses.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2010

High Dimensional Data Fusion via Joint Manifold Learning.

[BibT_eX]

[DOI]

Proceedings of the Manifold Learning and Its Applications, 2010

2009

A Theoretical Analysis of Joint Manifolds

[BibT_eX]

[DOI]

CoRR, 2009

Recovery of compressible signals in unions of subspaces.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009

Compressive sensing of streams of pulses.

[BibT_eX]

[DOI]

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

2008

Sparse Signal Recovery Using Markov Random Fields.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Random Projections for Manifold Learning.

[BibT_eX]

[DOI]

Michael B. Wakin