Raja Giryes

Hayit Greenspan

CoRR, 2024

ICC: Quantifying Image Caption Concreteness for Multimodal Dataset Curation.

[BibT_eX]

[DOI]

CoRR, 2024

Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States.

[BibT_eX]

[DOI]

CoRR, 2024

How do Transformers perform In-Context Autoregressive Learning?

[BibT_eX]

[DOI]

CoRR, 2024

TriNeRFLet: A Wavelet Based Multiscale Triplane NeRF Representation.

[BibT_eX]

[DOI]

Rajaei Khatib

CoRR, 2024

Membership Inference Attack Using Self Influence Functions.

[BibT_eX]

[DOI]

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

Simple Post-Training Robustness using Test Time Augmentations and Random Forest.

[BibT_eX]

[DOI]

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

2023

Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors].

[BibT_eX]

[DOI]

Bihan Wen

Saiprasad Ravishankar

Zhizhen Zhao

Jong Chul Ye

IEEE Signal Process. Mag., March, 2023

Mesh Draping: Parametrization-Free Neural Mesh Transfer.

[BibT_eX]

[DOI]

Comput. Graph. Forum, February, 2023

Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor].

[BibT_eX]

[DOI]

Bihan Wen

Saiprasad Ravishankar

Zhizhen Zhao

Jong Chul Ye

IEEE Signal Process. Mag., 2023

A Function Space Analysis of Finite Neural Networks With Insights From Sampling Theory.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2023

3VL: using Trees to teach Vision & Language models compositional concepts.

[BibT_eX]

[DOI]

Nir Yellinek

Leonid Karlinsky

CoRR, 2023

Tell Me What You See: Text-Guided Real-World Image Denoising.

[BibT_eX]

[DOI]

Erez Yosef

CoRR, 2023

Deep Internal Learning: Deep Learning from a Single Input.

[BibT_eX]

[DOI]

CoRR, 2023

MOCHa: Multi-Objective Reinforcement Mitigating Caption Hallucinations.

[BibT_eX]

[DOI]

CoRR, 2023

On The Relationship Between Universal Adversarial Attacks And Sparse Representations.

[BibT_eX]

[DOI]

CoRR, 2023

Comparing machine learning models for tau triggers.

[BibT_eX]

[DOI]

Maayan Yaary

Uriel Barron

Luis Pascual Domínguez

CoRR, 2023

An information-Theoretic Approach to Semi-supervised Transfer Learning.

[BibT_eX]

[DOI]

David Uliel

CoRR, 2023

SENS: Sketch-based Implicit Neural Shape Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

Pruning at Initialization - A Sketching Perspective.

[BibT_eX]

[DOI]

Noga Bar

CoRR, 2023

UDPM: Upsampling Diffusion Probabilistic Models.

[BibT_eX]

[DOI]

Shady Abu-Hussein

Dominik Jens Elias Waibel

CoRR, 2023

TEXTure: Text-Guided Texturing of 3D Shapes.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGGRAPH 2023 Conference Proceedings, 2023

Neural (Tangent Kernel) Collapse.

[BibT_eX]

[DOI]

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

Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models.

[BibT_eX]

[DOI]

Paola Cascante-Bonilla

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

Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI.

[BibT_eX]

[DOI]

Proceedings of the Cancer Prevention Through Early Detection, 2023

A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets.

[BibT_eX]

[DOI]

Edo Cohen-Karlik

Itamar Menuhin-Gruman

Nadav Cohen

Amir Globerson

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes.

[BibT_eX]

[DOI]

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

Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures.

[BibT_eX]

[DOI]

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

Teaching Structured Vision & Language Concepts to Vision & Language Models.

[BibT_eX]

[DOI]

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

AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder.

[BibT_eX]

[DOI]

Proceedings of the 34th British Machine Vision Conference 2023, 2023

Group Orthogonalization Regularization for Vision Models Adaptation and Robustness.

[BibT_eX]

[DOI]

Yoav Kurtz

Noga Bar

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

SPAGHETTI: editing implicit shapes through part aware generation.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2022

A Self Supervised StyleGAN for Image Annotation and Classification With Extremely Limited Labels.

[BibT_eX]

[DOI]

Dana Cohen Hochberg

Hayit Greenspan

IEEE Trans. Medical Imaging, 2022

Baby steps towards few-shot learning with multiple semantics.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2022

Cluster with GANs.

[BibT_eX]

[DOI]

Yuri Feigin

Hedva Spitzer

Comput. Vis. Image Underst., 2022

ADIR: Adaptive Diffusion for Image Reconstruction.

[BibT_eX]

[DOI]

Shady Abu-Hussein

CoRR, 2022

MAEDAY: MAE for few and zero shot AnomalY-Detection.

[BibT_eX]

[DOI]

CoRR, 2022

PIP: Positional-encoding Image Prior.

[BibT_eX]

[DOI]

Nimrod Shabtay

CoRR, 2022

Teaching Structured Vision&Language Concepts to Vision&Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network.

[BibT_eX]

[DOI]

Edo Cohen-Karlik

Itamar Menuhin-Gruman

Nadav Cohen

Amir Globerson

CoRR, 2022

ProCST: Boosting Semantic Segmentation using Progressive Cyclic Style-Transfer.

[BibT_eX]

[DOI]

Shahaf Ettedgui

Shady Abu-Hussein

CoRR, 2022

Stress-Testing LiDAR Registration.

[BibT_eX]

[DOI]

Amnon Drory

Shai Avidan

CoRR, 2022

Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Extending the Vocabulary of Fictional Languages using Neural Networks.

[BibT_eX]

[DOI]

Thomas Zacharias

Ashutosh Taklikar

CoRR, 2022

DeepMLS: Geometry-Aware Control Point Deformation.

[BibT_eX]

[DOI]

CoRR, 2022

Z2P: Instant Visualization of Point Clouds.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2022

Learning Camera Control in Dynamic Scenes from Limited Demonstrations.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2022

Image Restoration by Deep Projected GSURE.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Utilizing Excess Resources in Training Neural Networks.

[BibT_eX]

[DOI]

Amit Henig

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

NeuralMLS: Geometry-Aware Control Point Deformation.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Conference of the European Association for Computer Graphics, 2022

FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Unsupervised Domain Generalization by Learning a Bridge Across Domains.

[BibT_eX]

[DOI]

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

A Spectral Perspective of DNN Robustness to Label Noise.

[BibT_eX]

[DOI]

Oshrat Bar

Amnon Drory

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

2021

Orienting point clouds with dipole propagation.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2021

Self-Sampling for Neural Point Cloud Consolidation.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2021

Online Training of Stereo Self-Calibration Using Monocular Depth Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2021

On the Convergence Rate of Projected Gradient Descent for a Back-Projection Based Objective.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2021

MetAdapt: Meta-learned task-adaptive architecture for few-shot classification.

[BibT_eX]

[DOI]

Leonid Karlinsky

Pattern Recognit. Lett., 2021

MISS GAN: A Multi-IlluStrator style generative adversarial network for image to illustration translation.

[BibT_eX]

[DOI]

Noa Barzilay

Tal Berkovitz Shalev

Pattern Recognit. Lett., 2021

DEGAS: differentiable efficient generator search.

[BibT_eX]

[DOI]

Sivan Doveh

Neural Comput. Appl., 2021

Separable Joint Blind Deconvolution and Demixing.

[BibT_eX]

[DOI]

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

Video Reconstruction from a Single Motion Blurred Image using Learned Dynamic Phase Coding.

[BibT_eX]

[DOI]

Erez Yosef

Shay Elmalem

CoRR, 2021

KATANA: Simple Post-Training Robustness Using Test Time Augmentations.

[BibT_eX]

[DOI]

CoRR, 2021

Z2P: Instant Rendering of Point Clouds.

[BibT_eX]

[DOI]

CoRR, 2021

FLEX: Parameter-free Multi-view 3D Human Motion Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2021

Progressive Encoding for Neural Optimization.

[BibT_eX]

[DOI]

CoRR, 2021

Multiplicative Reweighting for Robust Neural Network Optimization.

[BibT_eX]

[DOI]

Noga Bar

Tomer Koren

CoRR, 2021

ISP Distillation.

[BibT_eX]

[DOI]

Alex M. Bronstein

CoRR, 2021

SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization.

[BibT_eX]

[DOI]

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

VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2022 Competition Track, 2021

Kernel-Based Smoothness Analysis of Residual Networks.

[BibT_eX]

[DOI]

Joan Bruna

Proceedings of the Mathematical and Scientific Machine Learning, 2021

Style encoding for class-specific image generation.

[BibT_eX]

[DOI]

Dana Cohen Hochberg

Hayit Greenspan

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

An Interpretation Of Regularization By Denoising And Its Application With The Back-Projected Fidelity Term.

[BibT_eX]

[DOI]

Einav Yogev-Ofer

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Detector-Free Weakly Supervised Grounding by Separation.

[BibT_eX]

[DOI]

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

Fine-Grained Angular Contrastive Learning With Coarse Labels.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

StarNet: towards Weakly Supervised Few-Shot Object Detection.

[BibT_eX]

[DOI]

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

DeepBBS: Deep Best Buddies for Point Cloud Registration.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2021

2020

Efficient Least Residual Greedy Algorithms for Sparse Recovery.

[BibT_eX]

[DOI]

Guy Leibovitz

IEEE Trans. Signal Process., 2020

Corrections to "Deep Neural Networks With Random Gaussian Weights: A Universal Classification Strategy?".

[BibT_eX]

[DOI]

Alex M. Bronstein

IEEE Trans. Signal Process., 2020

Deep geometric texture synthesis.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2020

Point2Mesh: a self-prior for deformable meshes.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2020

Back-Projection Based Fidelity Term for Ill-Posed Linear Inverse Problems.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

GMM-Based Generative Adversarial Encoder Learning.

[BibT_eX]

[DOI]

Yuri Feigin

Hedva Spitzer

CoRR, 2020

Self-supervised Neural Architecture Search.

[BibT_eX]

[DOI]

Sapir Kaplan

CoRR, 2020

StarNet: towards weakly supervised few-shot detection and explainable few-shot classification.

[BibT_eX]

[DOI]

CoRR, 2020

Autoencoders.

[BibT_eX]

[DOI]

Dor Bank

Noam Koenigstein

CoRR, 2020

Introduction to deep learning.

[BibT_eX]

[DOI]

Lihi Shiloh-Perl

CoRR, 2020

Motion Deblurring using Spatiotemporal Phase Aperture Coding.

[BibT_eX]

[DOI]

Shay Elmalem

Emanuel Marom

CoRR, 2020

Supervised and Unsupervised Learning of Parameterized Color Enhancement.

[BibT_eX]

[DOI]

Yoav Chai

Lior Wolf

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Face Authentication From Grayscale Coded Light Field.

[BibT_eX]

[DOI]

David Mendlovic

Proceedings of the IEEE International Conference on Image Processing, 2020

Separable Optimization for Joint Blind Deconvolution and Demixing.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

On Divergence Approximations for Unsupervised Training of Deep Denoisers Based on Stein's Unbiased Risk Estimator.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

BP-DIP: A Backprojection based Deep Image Prior.

[BibT_eX]

[DOI]

Jenny Zukerman

Proceedings of the 28th European Signal Processing Conference, 2020

Taco-VC: A Single Speaker Tacotron based Voice Conversion with Limited Data.

[BibT_eX]

[DOI]

Roee Levy Leshem

Proceedings of the 28th European Signal Processing Conference, 2020

TAFSSL: Task-Adaptive Feature Sub-Space Learning for Few-Shot Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers.

[BibT_eX]

[DOI]

Shady Abu Hussein

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

PointGMM: A Neural GMM Network for Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

The Resistance to Label Noise in K-NN and DNN Depends on its Concentration.

[BibT_eX]

[DOI]

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Deep Sparse Light Field Refocusing.

[BibT_eX]

[DOI]

Shachar Ben Dayan

David Mendlovic

Proceedings of the 31st British Machine Vision Conference 2020, 2020

An ETF view of Dropout regularization.

[BibT_eX]

[DOI]

Dor Bank

Proceedings of the 31st British Machine Vision Conference 2020, 2020

ASAP: Architecture Search, Anneal and Prune.

[BibT_eX]

[DOI]

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

Low Resource Sequence Tagging using Sentence Reconstruction.

[BibT_eX]

[DOI]

Tal Perl

Sriram Chaudhury

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Best Buddies Registration for Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Image-Adaptive GAN Based Reconstruction.

[BibT_eX]

[DOI]

Shady Abu Hussein

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

2019

MeshCNN: a network with an edge.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2019

ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2019

UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks.

[BibT_eX]

[DOI]

Evgenii Zheltonozhskii

Alex M. Bronstein

ACM Trans. Comput. Syst., 2019

Image Restoration by Iterative Denoising and Backward Projections.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

DeepISP: Toward Learning an End-to-End Image Processing Pipeline.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Super-Resolution via Image-Adapted Denoising CNNs: Incorporating External and Internal Learning.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2019

A Greedy Approach to ℓ<sub>0, ∞</sub>-Based Convolutional Sparse Coding.

[BibT_eX]

[DOI]

Elad Plaut

SIAM J. Imaging Sci., 2019

TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set.

[BibT_eX]

[DOI]

Medical Image Anal., 2019

MonSter: Awakening the Mono in Stereo.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Radar Detector.

[BibT_eX]

[DOI]

Daniel Brodeski

Igal Bilik

CoRR, 2019

Lautum Regularization for Semi-Supervised Transfer Learning.

[BibT_eX]

[DOI]

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

RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection.

[BibT_eX]

[DOI]

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

Blind Visual Motif Removal From a Single Image.

[BibT_eX]

[DOI]

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

LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning.

[BibT_eX]

[DOI]

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

2018

Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems.

[BibT_eX]

[DOI]

Yonina C. Eldar

IEEE Trans. Signal Process., 2018

Class-Aware Fully Convolutional Gaussian and Poisson Denoising.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

Depth Estimation From a Single Image Using Deep Learned Phase Coded Mask.

[BibT_eX]

[DOI]

Harel Haim

Shay Elmalem

Emanuel Marom

IEEE Trans. Computational Imaging, 2018

TOP-GAN: Label-Free Cancer Cell Classification Using Deep Learning with a Small Training Set.

[BibT_eX]

[DOI]

CoRR, 2018

Super-Resolution based on Image-Adapted CNN Denoisers: Incorporating Generalization of Training Data and Internal Learning in Test Time.

[BibT_eX]

[DOI]

CoRR, 2018

Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware.

[BibT_eX]

[DOI]

CoRR, 2018

On the relationship between Dropout and Equiangular Tight Frames.

[BibT_eX]

[DOI]

Dor Bank

CoRR, 2018

NICE: Noise Injection and Clamping Estimation for Neural Network Quantization.

[BibT_eX]

[DOI]

Yoav Chai

Evgenii Zheltonozhskii

CoRR, 2018

Generalization Error in Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Ranking Recovery from Limited Comparisons using Low-Rank Matrix Completion.

[BibT_eX]

[DOI]

Tal Levy

Alireza Vahid

CoRR, 2018

RepMet: Representative-based metric learning for classification and one-shot object detection.

[BibT_eX]

[DOI]

Sharathchandra Pankanti

Abhishek Kumar

CoRR, 2018

DNN or k-NN: That is the Generalize vs. Memorize Question.

[BibT_eX]

[DOI]

CoRR, 2018

UNIQ: Uniform Noise Injection for the Quantization of Neural Networks.

[BibT_eX]

[DOI]

Evgenii Zheltonozhskii

CoRR, 2018

On the Resistance of Neural Nets to Label Noise.

[BibT_eX]

[DOI]

Amnon Drory

Shai Avidan

CoRR, 2018

DeepISP: Learning End-to-End Image Processing Pipeline.

[BibT_eX]

[DOI]

CoRR, 2018

Delta-encoder: an effective sample synthesis method for few-shot object recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

An Iterative Denoising and Backwards Projections Method and its Advantages for Blind Deblurring.

[BibT_eX]

[DOI]

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

Fast and accurate reconstruction of compressed color light field.

[BibT_eX]

[DOI]

Ofir Nabati

David Mendlovic

Proceedings of the 2018 IEEE International Conference on Computational Photography, 2018

Learned Convolutional Sparse Coding.

[BibT_eX]

[DOI]

Hillel Sreter

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Matching Pursuit Based Convolutional Sparse Coding.

[BibT_eX]

[DOI]

Elad Plaut

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

The Learned Inexact Project Gradient Descent Algorithm.

[BibT_eX]

[DOI]

Yonina C. Eldar

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Task-Driven Dictionary Learning based on Convolutional Neural Network Features.

[BibT_eX]

[DOI]

Proceedings of the 26th European Signal Processing Conference, 2018

Improving DNN Robustness to Adversarial Attacks Using Jacobian Regularization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Robust Large Margin Deep Neural Networks.

[BibT_eX]

[DOI]

Jure Sokolic

IEEE Trans. Signal Process., 2017

Mathematics of Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Generalizing CoSaMP to Signals from a Union of Low Dimensional Linear Subspaces.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Class Aware Denoising.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Convolutional Denoising of Low-Light Images.

[BibT_eX]

[DOI]

CoRR, 2017

White Matter Fiber Representation Using Continuous Dictionary Learning.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deep class-aware image denoising.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Generalization Error of Invariant Classifiers.

[BibT_eX]

[DOI]

Jure Sokolic

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

2016

Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Postprocessing of Compressed Images via Sequential Denoising.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Poisson inverse problems by the Plug-and-Play scheme.

[BibT_eX]

[DOI]

Arie Rond

J. Vis. Commun. Image Represent., 2016

A greedy algorithm for the analysis transform domain.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Margin Preservation of Deep Neural Networks.

[BibT_eX]

[DOI]

Jure Sokolic

CoRR, 2016

2015

On the Effective Measure of Dimension in the Analysis Cosparse Model.

[BibT_eX]

[DOI]

Yaniv Plan

Roman Vershynin

IEEE Trans. Inf. Theory, 2015

Sparsity Based Methods for Overparameterized Variational Problems.

[BibT_eX]

[DOI]

Alfred M. Bruckstein

SIAM J. Imaging Sci., 2015

Near oracle performance and block analysis of signal space greedy methods.

[BibT_eX]

[DOI]

Deanna Needell

J. Approx. Theory, 2015

On the Stability of Deep Networks.

[BibT_eX]

[DOI]

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

2014

Sparsity models for signals: theory and applications.

[BibT_eX]

[DOI]

PhD thesis, 2014

Sparsity-Based Poisson Denoising With Dictionary Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2014

Near Oracle Performance of Signal Space Greedy Methods.

[BibT_eX]

[DOI]

Deanna Needell

CoRR, 2014

Sparsity Based Methods for Overparametrized Variational Problems.

[BibT_eX]

[DOI]

Alfred M. Bruckstein

CoRR, 2014

Sampling in the Analysis Transform Domain.

[BibT_eX]

[DOI]

CoRR, 2014

Sparsity based poisson inpainting.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Greedy Signal Space Methods for incoherence and beyond.

[BibT_eX]

[DOI]

Deanna Needell

CoRR, 2013

Can we allow linear dependencies in the dictionary in the sparse synthesis framework?

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

RIP-Based Near-Oracle Performance Guarantees for SP, CoSaMP, and IHT.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

Simple and Robust Binary Self-Location Patterns.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2012

Cosamp and SP for the cosparse analysis model.

[BibT_eX]

[DOI]

Proceedings of the 20th European Signal Processing Conference, 2012

2011

Online performance guarantees for sparse recovery.

[BibT_eX]

[DOI]

Volkan Cevher

Proceedings of the IEEE International Conference on Acoustics, 2011

Iterative cosparse projection algorithms for the recovery of cosparse vectors.

[BibT_eX]

[DOI]

Proceedings of the 19th European Signal Processing Conference, 2011

Denoising with greedy-like pursuit algorithms.

[BibT_eX]

[DOI]

Proceedings of the 19th European Signal Processing Conference, 2011

2010

The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods

[BibT_eX]

[DOI]

Yonina C. Eldar

CoRR, 2010

Iterative signal recovery from incomplete samples: technical perspective.

[BibT_eX]

[DOI]