Iterative signal recovery from incomplete samples: technical perspective. - Michael Elad; Raja Giryes (Commun. ACM, 2010)

The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods - Raja Giryes; Michael Elad; Yonina C. Eldar (CoRR, 2010)

Denoising with greedy-like pursuit algorithms. - Raja Giryes; Michael Elad (EUSIPCO, 2011)

Iterative cosparse projection algorithms for the recovery of cosparse vectors. - Raja Giryes; Sangnam Nam; Rémi Gribonval; Mike E. Davies 001 (EUSIPCO, 2011)

Online performance guarantees for sparse recovery. - Raja Giryes; Volkan Cevher (ICASSP, 2011)

Cosamp and SP for the cosparse analysis model. - Raja Giryes; Michael Elad (EUSIPCO, 2012)

Simple and Robust Binary Self-Location Patterns. - Alfred M. Bruckstein; Tuvi Etzion; Raja Giryes; Noam Gordon; Robert J. Holt; Doron Shuldiner (IEEE Trans. Inf. Theory, 2012)

RIP-Based Near-Oracle Performance Guarantees for SP, CoSaMP, and IHT. - Raja Giryes; Michael Elad (IEEE Trans. Signal Process., 2012)

Can we allow linear dependencies in the dictionary in the sparse synthesis framework? - Raja Giryes; Michael Elad (ICASSP, 2013)

Greedy Signal Space Methods for incoherence and beyond. - Raja Giryes; Deanna Needell (CoRR, 2013)

Sparsity based poisson inpainting. - Raja Giryes; Michael Elad (ICIP, 2014)

Sampling in the Analysis Transform Domain. - Raja Giryes (CoRR, 2014)

Sparsity Based Methods for Overparametrized Variational Problems. - Raja Giryes; Michael Elad; Alfred M. Bruckstein (CoRR, 2014)

Near Oracle Performance of Signal Space Greedy Methods. - Raja Giryes; Deanna Needell (CoRR, 2014)

Sparsity-Based Poisson Denoising With Dictionary Learning. - Raja Giryes; Michael Elad (IEEE Trans. Image Process., 2014)

Sparsity models for signals: theory and applications. - Raja Giryes (2014)

On the Stability of Deep Networks. - Raja Giryes; Guillermo Sapiro; Alexander M. Bronstein (ICLR (Workshop), 2015)

Near oracle performance and block analysis of signal space greedy methods. - Raja Giryes; Deanna Needell (J. Approx. Theory, 2015)

Sparsity Based Methods for Overparameterized Variational Problems. - Raja Giryes; Michael Elad; Alfred M. Bruckstein (SIAM J. Imaging Sci., 2015)

On the Effective Measure of Dimension in the Analysis Cosparse Model. - Raja Giryes; Yaniv Plan; Roman Vershynin (IEEE Trans. Inf. Theory, 2015)

Margin Preservation of Deep Neural Networks. - Jure Sokolic; Raja Giryes; Guillermo Sapiro; Miguel R. D. Rodrigues (CoRR, 2016)

A greedy algorithm for the analysis transform domain. - Raja Giryes (Neurocomputing, 2016)

Poisson inverse problems by the Plug-and-Play scheme. - Arie Rond; Raja Giryes; Michael Elad (J. Vis. Commun. Image Represent., 2016)

Postprocessing of Compressed Images via Sequential Denoising. - Yehuda Dar; Alfred M. Bruckstein; Michael Elad; Raja Giryes (IEEE Trans. Image Process., 2016)

Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? - Raja Giryes; Guillermo Sapiro; Alexander M. Bronstein (IEEE Trans. Signal Process., 2016)

Generalization Error of Invariant Classifiers. - Jure Sokolic; Raja Giryes; Guillermo Sapiro; Miguel R. D. Rodrigues (AISTATS, 2017)

Deep class-aware image denoising. - Tal Remez; Or Litany; Raja Giryes; Alexander M. Bronstein (ICIP, 2017)

White Matter Fiber Representation Using Continuous Dictionary Learning. - Guy Alexandroni; Yana Podolsky; Hayit Greenspan; Tal Remez; Or Litany; Alexander M. Bronstein; Raja Giryes (MICCAI (1), 2017)

Deep Convolutional Denoising of Low-Light Images. - Tal Remez; Or Litany; Raja Giryes; Alexander M. Bronstein (CoRR, 2017)

Deep Class Aware Denoising. - Tal Remez; Or Litany; Raja Giryes; Alexander M. Bronstein (CoRR, 2017)

Generalizing CoSaMP to Signals from a Union of Low Dimensional Linear Subspaces. - Tom Tirer; Raja Giryes (CoRR, 2017)

Mathematics of Deep Learning. - René Vidal; Joan Bruna; Raja Giryes; Stefano Soatto (CoRR, 2017)

Robust Large Margin Deep Neural Networks. - Jure Sokolic; Raja Giryes; Guillermo Sapiro; Miguel R. D. Rodrigues (IEEE Trans. Signal Process., 2017)

Improving DNN Robustness to Adversarial Attacks Using Jacobian Regularization. - Daniel Jakubovitz; Raja Giryes (ECCV (12), 2018)

Task-Driven Dictionary Learning based on Convolutional Neural Network Features. - Tom Tirer; Raja Giryes (EUSIPCO, 2018)

The Learned Inexact Project Gradient Descent Algorithm. - Raja Giryes; Yonina C. Eldar; Alexander M. Bronstein; Guillermo Sapiro (ICASSP, 2018)

Matching Pursuit Based Convolutional Sparse Coding. - Elad Plaut; Raja Giryes (ICASSP, 2018)

Learned Convolutional Sparse Coding. - Hillel Sreter; Raja Giryes (ICASSP, 2018)

Fast and accurate reconstruction of compressed color light field. - Ofir Nabati; David Mendlovic; Raja Giryes (ICCP, 2018)

An Iterative Denoising and Backwards Projections Method and its Advantages for Blind Deblurring. - Tom Tirer; Raja Giryes (ICIP, 2018)

Delta-encoder: an effective sample synthesis method for few-shot object recognition. - Eli Schwartz; Leonid Karlinsky; Joseph Shtok; Sivan Harary; Mattias Marder; Abhishek Kumar 001; Rogério Schmidt Feris; Raja Giryes; Alexander M. Bronstein (NeurIPS, 2018)

DeepISP: Learning End-to-End Image Processing Pipeline. - Eli Schwartz; Raja Giryes; Alexander M. Bronstein (CoRR, 2018)

On the Resistance of Neural Nets to Label Noise. - Amnon Drory; Shai Avidan; Raja Giryes (CoRR, 2018)

UNIQ: Uniform Noise Injection for the Quantization of Neural Networks. - Chaim Baskin; Eli Schwartz; Evgenii Zheltonozhskii; Natan Liss; Raja Giryes; Alexander M. Bronstein; Avi Mendelson (CoRR, 2018)

DNN or k-NN: That is the Generalize vs. Memorize Question. - Gilad Cohen; Guillermo Sapiro; Raja Giryes (CoRR, 2018)

RepMet: Representative-based metric learning for classification and one-shot object detection. - Eli Schwartz; Leonid Karlinsky; Joseph Shtok; Sivan Harary; Mattias Marder; Sharathchandra Pankanti; Rogério Schmidt Feris; Abhishek Kumar 001; Raja Giryes; Alexander M. Bronstein (CoRR, 2018)

Ranking Recovery from Limited Comparisons using Low-Rank Matrix Completion. - Tal Levy; Alireza Vahid; Raja Giryes (CoRR, 2018)

Generalization Error in Deep Learning. - Daniel Jakubovitz; Raja Giryes; Miguel R. D. Rodrigues (CoRR, 2018)

NICE: Noise Injection and Clamping Estimation for Neural Network Quantization. - Chaim Baskin; Natan Liss; Yoav Chai; Evgenii Zheltonozhskii; Eli Schwartz; Raja Giryes; Avi Mendelson; Alexander M. Bronstein (CoRR, 2018)

On the relationship between Dropout and Equiangular Tight Frames. - Dor Bank; Raja Giryes (CoRR, 2018)

Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware. - Natan Liss; Chaim Baskin; Avi Mendelson; Alexander M. Bronstein; Raja Giryes (CoRR, 2018)

Super-Resolution based on Image-Adapted CNN Denoisers: Incorporating Generalization of Training Data and Internal Learning in Test Time. - Tom Tirer; Raja Giryes (CoRR, 2018)

TOP-GAN: Label-Free Cancer Cell Classification Using Deep Learning with a Small Training Set. - Moran Rubin; Omer Stein; Nir A. Turko; Yoav Nygate; Darina Roitshtain; Lidor Karako; Itay Barnea; Raja Giryes; Natan T. Shaked (CoRR, 2018)

Depth Estimation From a Single Image Using Deep Learned Phase Coded Mask. - Harel Haim; Shay Elmalem; Raja Giryes; Alexander M. Bronstein; Emanuel Marom (IEEE Trans. Computational Imaging, 2018)

Class-Aware Fully Convolutional Gaussian and Poisson Denoising. - Tal Remez; Or Litany; Raja Giryes; Alexander M. Bronstein (IEEE Trans. Image Process., 2018)

Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems. - Raja Giryes; Yonina C. Eldar; Alexander M. Bronstein; Guillermo Sapiro (IEEE Trans. Signal Process., 2018)

LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning. - Amit Alfassy; Leonid Karlinsky; Amit Aides; Joseph Shtok; Sivan Harary; Rogério Schmidt Feris; Raja Giryes; Alexander M. Bronstein (CVPR, 2019)

Blind Visual Motif Removal From a Single Image. - Amir Hertz; Sharon Fogel; Rana Hanocka; Raja Giryes; Daniel Cohen-Or (CVPR, 2019)

RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection. - Leonid Karlinsky; Joseph Shtok; Sivan Harary; Eli Schwartz; Amit Aides; Rogério Schmidt Feris; Raja Giryes; Alexander M. Bronstein (CVPR, 2019)

Lautum Regularization for Semi-Supervised Transfer Learning. - Daniel Jakubovitz; Miguel R. D. Rodrigues; Raja Giryes (ICCV Workshops, 2019)

Deep Radar Detector. - Daniel Brodeski; Igal Bilik; Raja Giryes (CoRR, 2019)

MonSter: Awakening the Mono in Stereo. - Yotam Gil; Shay Elmalem; Harel Haim; Emanuel Marom; Raja Giryes (CoRR, 2019)

TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set. - Moran Rubin; Omer Stein; Nir A. Turko; Yoav Nygate; Darina Roitshtain; Lidor Karako; Itay Barnea; Raja Giryes; Natan T. Shaked (Medical Image Anal., 2019)

A Greedy Approach to ℓ0, ∞-Based Convolutional Sparse Coding. - Elad Plaut; Raja Giryes (SIAM J. Imaging Sci., 2019)

Super-Resolution via Image-Adapted Denoising CNNs: Incorporating External and Internal Learning. - Tom Tirer; Raja Giryes (IEEE Signal Process. Lett., 2019)

DeepISP: Toward Learning an End-to-End Image Processing Pipeline. - Eli Schwartz; Raja Giryes; Alexander M. Bronstein (IEEE Trans. Image Process., 2019)

Image Restoration by Iterative Denoising and Backward Projections. - Tom Tirer; Raja Giryes (IEEE Trans. Image Process., 2019)

UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks. - Chaim Baskin; Natan Liss; Eli Schwartz; Evgenii Zheltonozhskii; Raja Giryes; Alex M. Bronstein; Avi Mendelson (ACM Trans. Comput. Syst., 2019)

ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning. - Rana Hanocka; Noa Fish; Zhenhua Wang 002; Raja Giryes; Shachar Fleishman; Daniel Cohen-Or (ACM Trans. Graph., 2019)

MeshCNN: a network with an edge. - Rana Hanocka; Amir Hertz; Noa Fish; Raja Giryes; Shachar Fleishman; Daniel Cohen-Or (ACM Trans. Graph., 2019)

Image-Adaptive GAN Based Reconstruction. - Shady Abu Hussein; Tom Tirer; Raja Giryes (AAAI, 2020)

Best Buddies Registration for Point Clouds. - Amnon Drory; Tal Shomer; Shai Avidan; Raja Giryes (ACCV (1), 2020)

Low Resource Sequence Tagging using Sentence Reconstruction. - Tal Perl; Sriram Chaudhury; Raja Giryes (ACL, 2020)

ASAP: Architecture Search, Anneal and Prune. - Asaf Noy; Niv Nayman; Tal Ridnik; Nadav Zamir; Sivan Doveh; Itamar Friedman; Raja Giryes; Lihi Zelnik (AISTATS, 2020)

An ETF view of Dropout regularization. - Dor Bank; Raja Giryes (BMVC, 2020)

Deep Sparse Light Field Refocusing. - Shachar Ben Dayan; David Mendlovic; Raja Giryes (BMVC, 2020)

The Resistance to Label Noise in K-NN and DNN Depends on its Concentration. - Amnon Drory; Oria Ratzon; Shai Avidan; Raja Giryes (BMVC, 2020)

Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors. - Gilad Cohen; Guillermo Sapiro; Raja Giryes (CVPR, 2020)

PointGMM: A Neural GMM Network for Point Clouds. - Amir Hertz; Rana Hanocka; Raja Giryes; Daniel Cohen-Or (CVPR, 2020)

Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers. - Shady Abu Hussein; Tom Tirer; Raja Giryes (CVPR, 2020)

TAFSSL: Task-Adaptive Feature Sub-Space Learning for Few-Shot Classification. - Moshe Lichtenstein; Prasanna Sattigeri; Rogério Feris; Raja Giryes; Leonid Karlinsky (ECCV (7), 2020)

Taco-VC: A Single Speaker Tacotron based Voice Conversion with Limited Data. - Roee Levy Leshem; Raja Giryes (EUSIPCO, 2020)

BP-DIP: A Backprojection based Deep Image Prior. - Jenny Zukerman; Tom Tirer; Raja Giryes (EUSIPCO, 2020)

On Divergence Approximations for Unsupervised Training of Deep Denoisers Based on Stein's Unbiased Risk Estimator. - Shakarim Soltanayev; Raja Giryes; Se Young Chun; Yonina C. Eldar (ICASSP, 2020)

Separable Optimization for Joint Blind Deconvolution and Demixing. - Dana Weitzner; Raja Giryes (ICASSP, 2020)

Face Authentication From Grayscale Coded Light Field. - Dana Weitzner; David Mendlovic; Raja Giryes (ICIP, 2020)

Supervised and Unsupervised Learning of Parameterized Color Enhancement. - Yoav Chai; Raja Giryes; Lior Wolf (WACV, 2020)

Motion Deblurring using Spatiotemporal Phase Aperture Coding. - Shay Elmalem; Raja Giryes; Emanuel Marom (CoRR, 2020)

Introduction to deep learning. - Lihi Shiloh-Perl; Raja Giryes (CoRR, 2020)

Autoencoders. - Dor Bank; Noam Koenigstein; Raja Giryes (CoRR, 2020)

StarNet: towards weakly supervised few-shot detection and explainable few-shot classification. - Leonid Karlinsky; Joseph Shtok; Amit Alfassy; Moshe Lichtenstein; Sivan Harary; Eli Schwartz; Sivan Doveh; Prasanna Sattigeri; Rogério Schmidt Feris; Alexander M. Bronstein; Raja Giryes (CoRR, 2020)

Self-supervised Neural Architecture Search. - Sapir Kaplan; Raja Giryes (CoRR, 2020)

GMM-Based Generative Adversarial Encoder Learning. - Yuri Feigin; Hedva Spitzer; Raja Giryes (CoRR, 2020)

Back-Projection Based Fidelity Term for Ill-Posed Linear Inverse Problems. - Tom Tirer; Raja Giryes (IEEE Trans. Image Process., 2020)

Point2Mesh: a self-prior for deformable meshes. - Rana Hanocka; Gal Metzer; Raja Giryes; Daniel Cohen-Or (ACM Trans. Graph., 2020)

Deep geometric texture synthesis. - Amir Hertz; Rana Hanocka; Raja Giryes; Daniel Cohen-Or (ACM Trans. Graph., 2020)

Corrections to "Deep Neural Networks With Random Gaussian Weights: A Universal Classification Strategy?". - Raja Giryes; Guillermo Sapiro; Alex M. Bronstein (IEEE Trans. Signal Process., 2020)

Efficient Least Residual Greedy Algorithms for Sparse Recovery. - Guy Leibovitz; Raja Giryes (IEEE Trans. Signal Process., 2020)

DeepBBS: Deep Best Buddies for Point Cloud Registration. - Itan Hezroni; Amnon Drory; Raja Giryes; Shai Avidan (3DV, 2021)

StarNet: towards Weakly Supervised Few-Shot Object Detection. - Leonid Karlinsky; Joseph Shtok; Amit Alfassy; Moshe Lichtenstein; Sivan Harary; Eli Schwartz; Sivan Doveh; Prasanna Sattigeri; Rogério Feris; Alex M. Bronstein; Raja Giryes (AAAI, 2021)

Fine-Grained Angular Contrastive Learning With Coarse Labels. - Guy Bukchin; Eli Schwartz; Kate Saenko; Ori Shahar; Rogério Feris; Raja Giryes; Leonid Karlinsky (CVPR, 2021)

Detector-Free Weakly Supervised Grounding by Separation. - Assaf Arbelle; Sivan Doveh; Amit Alfassy; Joseph Shtok; Guy Lev; Eli Schwartz; Hilde Kuehne; Hila Barak Levi; Prasanna Sattigeri; Rameswar Panda; Chun-Fu Chen 001; Alex M. Bronstein; et al. (ICCV, 2021)

An Interpretation Of Regularization By Denoising And Its Application With The Back-Projected Fidelity Term. - Einav Yogev-Ofer; Tom Tirer; Raja Giryes (ICIP, 2021)

Style encoding for class-specific image generation. - Dana Cohen Hochberg; Raja Giryes; Hayit Greenspan (Image Processing, 2021)

Kernel-Based Smoothness Analysis of Residual Networks. - Tom Tirer; Joan Bruna; Raja Giryes (MSML, 2021)

VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. - Dina Bashkirova; Samarth Mishra; Diala Lteif; Piotr Teterwak; Donghyun Kim 006; Fadi M. Alladkani; James Akl; Berk Çalli; Sarah Adel Bargal; Kate Saenko; Daehan Kim; Minseok Seo; et al. (NeurIPS (Competition and Demos), 2021)

SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization. - Amir Hertz; Or Perel; Raja Giryes; Olga Sorkine-Hornung; Daniel Cohen-Or (NeurIPS, 2021)

ISP Distillation. - Eli Schwartz; Alex M. Bronstein; Raja Giryes (CoRR, 2021)

Multiplicative Reweighting for Robust Neural Network Optimization. - Noga Bar; Tomer Koren; Raja Giryes (CoRR, 2021)

Progressive Encoding for Neural Optimization. - Amir Hertz; Or Perel; Raja Giryes; Olga Sorkine-Hornung; Daniel Cohen-Or (CoRR, 2021)

FLEX: Parameter-free Multi-view 3D Human Motion Reconstruction. - Brian Gordon; Sigal Raab; Guy Azov; Raja Giryes; Daniel Cohen-Or (CoRR, 2021)

Z2P: Instant Rendering of Point Clouds. - Gal Metzer; Rana Hanocka; Raja Giryes; Niloy J. Mitra; Daniel Cohen-Or (CoRR, 2021)

KATANA: Simple Post-Training Robustness Using Test Time Augmentations. - Gilad Cohen; Raja Giryes (CoRR, 2021)

Video Reconstruction from a Single Motion Blurred Image using Learned Dynamic Phase Coding. - Erez Yosef; Shay Elmalem; Raja Giryes (CoRR, 2021)

Separable Joint Blind Deconvolution and Demixing. - Dana Weitzner; Raja Giryes (IEEE J. Sel. Top. Signal Process., 2021)

DEGAS: differentiable efficient generator search. - Sivan Doveh; Raja Giryes (Neural Comput. Appl., 2021)

MISS GAN: A Multi-IlluStrator style generative adversarial network for image to illustration translation. - Noa Barzilay; Tal Berkovitz Shalev; Raja Giryes (Pattern Recognit. Lett., 2021)

MetAdapt: Meta-learned task-adaptive architecture for few-shot classification. - Sivan Doveh; Eli Schwartz; Chao Xue; Rogério Feris; Alexander M. Bronstein; Raja Giryes; Leonid Karlinsky (Pattern Recognit. Lett., 2021)

On the Convergence Rate of Projected Gradient Descent for a Back-Projection Based Objective. - Tom Tirer; Raja Giryes (SIAM J. Imaging Sci., 2021)

Online Training of Stereo Self-Calibration Using Monocular Depth Estimation. - Yotam Gil; Shay Elmalem; Harel Haim; Emanuel Marom; Raja Giryes (IEEE Trans. Computational Imaging, 2021)

Self-Sampling for Neural Point Cloud Consolidation. - Gal Metzer; Rana Hanocka; Raja Giryes; Daniel Cohen-Or (ACM Trans. Graph., 2021)

Orienting point clouds with dipole propagation. - Gal Metzer; Rana Hanocka; Denis Zorin; Raja Giryes; Daniele Panozzo; Daniel Cohen-Or (ACM Trans. Graph., 2021)

A Spectral Perspective of DNN Robustness to Label Noise. - Oshrat Bar; Amnon Drory; Raja Giryes (AISTATS, 2022)

Unsupervised Domain Generalization by Learning a Bridge Across Domains. - Sivan Harary; Eli Schwartz; Assaf Arbelle; Peter W. J. Staar; Shady Abu-Hussein; Elad Amrani; Roei Herzig; Amit Alfassy; Raja Giryes; Hilde Kuehne; Dina Katabi; Kate Saenko; et al. (CVPR, 2022)

FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion Reconstruction. - Brian Gordon; Sigal Raab; Guy Azov; Raja Giryes; Daniel Cohen-Or (ECCV (33), 2022)

NeuralMLS: Geometry-Aware Control Point Deformation. - Meitar Shechter; Rana Hanocka; Gal Metzer; Raja Giryes; Daniel Cohen-Or (Eurographics (Short Papers), 2022)

Utilizing Excess Resources in Training Neural Networks. - Amit Henig; Raja Giryes (ICIP, 2022)

Image Restoration by Deep Projected GSURE. - Shady Abu-Hussein; Tom Tirer; Se Young Chun; Yonina C. Eldar; Raja Giryes (WACV, 2022)

Learning Camera Control in Dynamic Scenes from Limited Demonstrations. - Rana Hanocka; Jackie Assa; Daniel Cohen-Or; Raja Giryes (Comput. Graph. Forum, 2022)

Z2P: Instant Visualization of Point Clouds. - Gal Metzer; Rana Hanocka; Raja Giryes; Niloy J. Mitra; Daniel Cohen-Or (Comput. Graph. Forum, 2022)

DeepMLS: Geometry-Aware Control Point Deformation. - Meitar Shechter; Rana Hanocka; Gal Metzer; Raja Giryes; Daniel Cohen-Or (CoRR, 2022)

Extending the Vocabulary of Fictional Languages using Neural Networks. - Thomas Zacharias 005; Ashutosh Taklikar; Raja Giryes (CoRR, 2022)

Generative Adversarial Networks. - Gilad Cohen; Raja Giryes (CoRR, 2022)

Stress-Testing LiDAR Registration. - Amnon Drory; Shai Avidan; Raja Giryes (CoRR, 2022)

ProCST: Boosting Semantic Segmentation using Progressive Cyclic Style-Transfer. - Shahaf Ettedgui; Shady Abu-Hussein; Raja Giryes (CoRR, 2022)

Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network. - Edo Cohen-Karlik; Itamar Menuhin-Gruman; Nadav Cohen 001; Raja Giryes; Amir Globerson (CoRR, 2022)

Teaching Structured Vision&Language Concepts to Vision&Language Models. - Sivan Doveh; Assaf Arbelle; Sivan Harary; Rameswar Panda; Roei Herzig; Eli Schwartz; Donghyun Kim 006; Raja Giryes; Rogério Feris; Shimon Ullman; Leonid Karlinsky (CoRR, 2022)

PIP: Positional-encoding Image Prior. - Nimrod Shabtay; Eli Schwartz; Raja Giryes (CoRR, 2022)

ADIR: Adaptive Diffusion for Image Reconstruction. - Shady Abu-Hussein; Tom Tirer; Raja Giryes (CoRR, 2022)

Cluster with GANs. - Yuri Feigin; Hedva Spitzer; Raja Giryes (Comput. Vis. Image Underst., 2022)

Baby steps towards few-shot learning with multiple semantics. - Eli Schwartz; Leonid Karlinsky; Rogério Feris; Raja Giryes; Alexander M. Bronstein (Pattern Recognit. Lett., 2022)

A Self Supervised StyleGAN for Image Annotation and Classification With Extremely Limited Labels. - Dana Cohen Hochberg; Hayit Greenspan; Raja Giryes (IEEE Trans. Medical Imaging, 2022)

SPAGHETTI: editing implicit shapes through part aware generation. - Amir Hertz; Or Perel; Raja Giryes; Olga Sorkine-Hornung; Daniel Cohen-Or (ACM Trans. Graph., 2022)

StrudelTAU/ShallowTransitsDL: V1.0.0. - Elad Dvash; Yam Peleg; Shay Zucker; Raja Giryes (Zenodo, 2022)

Group Orthogonalization Regularization for Vision Models Adaptation and Robustness. - Yoav Kurtz; Noga Bar; Raja Giryes (BMVC, 2023)

AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder. - Tal Shaharabany; Aviad Dahan; Raja Giryes; Lior Wolf (BMVC, 2023)

Teaching Structured Vision & Language Concepts to Vision & Language Models. - Sivan Doveh; Assaf Arbelle; Sivan Harary; Eli Schwartz; Roei Herzig; Raja Giryes; Rogério Feris; Rameswar Panda; Shimon Ullman; Leonid Karlinsky (CVPR, 2023)

Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures. - Gal Metzer; Elad Richardson; Or Patashnik; Raja Giryes; Daniel Cohen-Or (CVPR, 2023)

Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes. - Dana Cohen-Bar; Elad Richardson; Gal Metzer; Raja Giryes; Daniel Cohen-Or (ICCV (Workshops), 2023)

Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets. - Edo Cohen-Karlik; Itamar Menuhin-Gruman; Raja Giryes; Nadav Cohen 001; Amir Globerson (ICLR, 2023)

A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images. - Dominik Jens Elias Waibel; Ernst Röell; Bastian Rieck; Raja Giryes; Carsten Marr (ISBI, 2023)

Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI. - Daniel M. Lang 003; Eli Schwartz; Cosmin I. Bercea; Raja Giryes; Julia A. Schnabel (CaPTion@MICCAI, 2023)

Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. - Sivan Doveh; Assaf Arbelle; Sivan Harary; Roei Herzig; Donghyun Kim 006; Paola Cascante-Bonilla; Amit Alfassy; Rameswar Panda; Raja Giryes; Rogério Feris; Shimon Ullman; Leonid Karlinsky (NeurIPS, 2023)

Neural (Tangent Kernel) Collapse. - Mariia Seleznova; Dana Weitzner; Raja Giryes; Gitta Kutyniok; Hung-Hsu Chou (NeurIPS, 2023)

TEXTure: Text-Guided Texturing of 3D Shapes. - Elad Richardson; Gal Metzer; Yuval Alaluf; Raja Giryes; Daniel Cohen-Or (SIGGRAPH (Conference Paper Track), 2023)

Pruning at Initialization - A Sketching Perspective. - Noga Bar; Raja Giryes (CoRR, 2023)

SENS: Sketch-based Implicit Neural Shape Modeling. - Alexandre Binninger; Amir Hertz; Olga Sorkine-Hornung; Daniel Cohen-Or; Raja Giryes (CoRR, 2023)

An information-Theoretic Approach to Semi-supervised Transfer Learning. - Daniel Jakubovitz; David Uliel; Miguel R. D. Rodrigues; Raja Giryes (CoRR, 2023)

Comparing machine learning models for tau triggers. - Maayan Yaary; Uriel Barron; Luis Pascual Domínguez; Boping Chen; Liron Barak; Erez Etzion; Raja Giryes (CoRR, 2023)

On The Relationship Between Universal Adversarial Attacks And Sparse Representations. - Dana Weitzner; Raja Giryes (CoRR, 2023)

MOCHa: Multi-Objective Reinforcement Mitigating Caption Hallucinations. - Assaf Ben-Kish; Moran Yanuka; Morris Alper; Raja Giryes; Hadar Averbuch-Elor (CoRR, 2023)

Tell Me What You See: Text-Guided Real-World Image Denoising. - Erez Yosef; Raja Giryes (CoRR, 2023)

3VL: using Trees to teach Vision & Language models compositional concepts. - Nir Yellinek; Leonid Karlinsky; Raja Giryes (CoRR, 2023)

A Function Space Analysis of Finite Neural Networks With Insights From Sampling Theory. - Raja Giryes (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor]. - Bihan Wen; Saiprasad Ravishankar; Zhizhen Zhao 001; Raja Giryes; Jong Chul Ye (IEEE Signal Process. Mag., 2023)

Mesh Draping: Parametrization-Free Neural Mesh Transfer. - Amir Hertz; Or Perel; Raja Giryes; Olga Sorkine-Hornung; Daniel Cohen-Or (Comput. Graph. Forum, 2023)

Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors]. - Bihan Wen; Saiprasad Ravishankar; Zhizhen Zhao 001; Raja Giryes; Jong Chul Ye (IEEE Signal Process. Mag., 2023)

ICC : Quantifying Image Caption Concreteness for Multimodal Dataset Curation. - Moran Yanuka; Morris Alper; Hadar Averbuch-Elor; Raja Giryes (ACL (Findings), 2024)

TriNeRFLet: A Wavelet Based Triplane NeRF Representation. - Rajaei Khatib; Raja Giryes (ECCV (79), 2024)

Mitigating Open-Vocabulary Caption Hallucinations. - Assaf Ben-Kish; Moran Yanuka; Morris Alper; Raja Giryes; Hadar Averbuch-Elor (EMNLP, 2024)

Deep Phase Coded Image Prior. - Nimrod Shabtay; Eli Schwartz; Raja Giryes (ICCP, 2024)

Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States. - Noam Razin; Yotam Alexander; Edo Cohen-Karlik; Raja Giryes; Amir Globerson; Nadav Cohen 001 (ICML, 2024)

How do Transformers Perform In-Context Autoregressive Learning ? - Michael Eli Sander; Raja Giryes; Taiji Suzuki; Mathieu Blondel; Gabriel Peyré (ICML, 2024)

DINOv2 Based Self Supervised Learning for Few Shot Medical Image Segmentation. - Lev Ayzenberg; Raja Giryes; Hayit Greenspan (ISBI, 2024)

Video Polyp Segmentation using Implicit Networks. - Aviad Dahan; Tal Shaharabany; Raja Giryes; Lior Wolf (MIDL, 2024)

UDPM: Upsampling Diffusion Probabilistic Models. - Shady Abu-Hussein; Raja Giryes (NeurIPS, 2024)

Provable Benefits of Complex Parameterizations for Structured State Space Models. - Yuval Ran-Milo; Eden Lumbroso; Edo Cohen-Karlik; Raja Giryes; Amir Globerson; Nadav Cohen 001 (NeurIPS, 2024)

Simple Post-Training Robustness using Test Time Augmentations and Random Forest. - Gilad Cohen; Raja Giryes (WACV, 2024)

Membership Inference Attack Using Self Influence Functions. - Gilad Cohen; Raja Giryes (WACV, 2024)

TriNeRFLet: A Wavelet Based Multiscale Triplane NeRF Representation. - Rajaei Khatib; Raja Giryes (CoRR, 2024)

A Flow is a Stream of Packets: A Stream-Structured Data Approach for DDoS Detection. - Raja Giryes; Lior Shafir; Avishai Wool (CoRR, 2024)

Effective Subset Selection Through The Lens of Neural Network Pruning. - Noga Bar; Raja Giryes (CoRR, 2024)

X-ray2CTPA: Generating 3D CTPA scans from 2D X-ray conditioning. - Noa Cahan; Eyal Klang; Galit Aviram; Yiftach Barash; Eli Konen; Raja Giryes; Hayit Greenspan (CoRR, 2024)

ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models. - Lev Ayzenberg; Raja Giryes; Hayit Greenspan (CoRR, 2024)

DifuzCam: Replacing Camera Lens with a Mask and a Diffusion Model. - Erez Yosef; Raja Giryes (CoRR, 2024)

On the Relation Between Linear Diffusion and Power Iteration. - Dana Weitzner; Mauricio Delbracio; Peyman Milanfar; Raja Giryes (CoRR, 2024)

Teaching VLMs to Localize Specific Objects from In-context Examples. - Sivan Doveh; Nimrod Shabtay; Wei Lin 019; Eli Schwartz; Hilde Kuehne; Raja Giryes; Rogério Feris; Leonid Karlinsky; James R. Glass; Assaf Arbelle; Shimon Ullman; Muhammad Jehanzeb Mirza (CoRR, 2024)

MAEDAY: MAE for few- and zero-shot AnomalY-Detection. - Eli Schwartz; Assaf Arbelle; Leonid Karlinsky; Sivan Harary; Florian Scheidegger; Sivan Doveh; Raja Giryes (Comput. Vis. Image Underst., 2024)

SENS: Part-Aware Sketch-based Implicit Neural Shape Modeling. - Alexandre Binninger; Amir Hertz; Olga Sorkine-Hornung; Daniel Cohen-Or; Raja Giryes (Comput. Graph. Forum, 2024)

Deep Internal Learning: Deep learning from a single input. - Tom Tirer; Raja Giryes; Se Young Chun; Yonina C. Eldar (IEEE Signal Process. Mag., 2024)

Performance Gap in Entity Knowledge Extraction Across Modalities in Vision Language Models. - Ido Cohen 002; Daniela Gottesman; Mor Geva; Raja Giryes (ACL (1), 2025)

Mamba Knockout for Unraveling Factual Information Flow. - Nir Endy; Idan Daniel Grosbard; Yuval Ran-Milo; Yonatan Slutzky; Itay Tshuva; Raja Giryes (ACL (1), 2025)

Comparison Visual Instruction Tuning. - Wei Lin 019; Muhammad Jehanzeb Mirza; Sivan Doveh; Rogério Feris; Raja Giryes; Sepp Hochreiter; Leonid Karlinsky (CVPR Workshops, 2025)

ZOQO: Zero-Order Quantized Optimization. - Noga Bar; Raja Giryes (ICASSP, 2025)

DeciMamba: Exploring the Length Extrapolation Potential of Mamba. - Assaf Ben-Kish; Itamar Zimerman; Shady Abu-Hussein; Nadav Cohen 001; Amir Globerson; Lior Wolf; Raja Giryes (ICLR, 2025)

LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content. - Nimrod Shabtay; Felipe Maia Polo; Sivan Doveh; Wei Lin 019; Muhammad Jehanzeb Mirza; Leshem Choshen; Mikhail Yurochkin; Yuekai Sun; Assaf Arbelle; Leonid Karlinsky; Raja Giryes (ICLR, 2025)

Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted Captions. - Moran Yanuka; Assaf Ben-Kish; Yonatan Bitton; Idan Szpektor; Raja Giryes (NAACL (Long Papers), 2025)

X-ray2CTPA: leveraging diffusion models to enhance pulmonary embolism classification. - Noa Cahan; Eyal Klang; Galit Aviram; Yiftach Barash; Eli Konen; Raja Giryes; Hayit Greenspan (npj Digit. Medicine, 2025)

3VL: Using Trees to Improve Vision-Language Models' Interpretability. - Nir Yellinek; Leonid Karlinsky; Raja Giryes (IEEE Trans. Image Process., 2025)

Overflow Prevention Enhances Long-Context Recurrent LLMs. - Assaf Ben-Kish; Itamar Zimerman; Muhammad Jehanzeb Mirza; James R. Glass; Leonid Karlinsky; Raja Giryes (CoRR, 2025)

Revisiting Glorot Initialization for Long-Range Linear Recurrences. - Noga Bar; Mariia Seleznova; Yotam Alexander; Gitta Kutyniok; Raja Giryes (CoRR, 2025)

Inverse Design of Diffractive Metasurfaces Using Diffusion Models. - Liav Hen; Erez Yosef; Dan Raviv; Raja Giryes; Jacob Scheuer (CoRR, 2025)

ConlangCrafter: Constructing Languages with a Multi-Hop LLM Pipeline. - Morris Alper; Moran Yanuka; Raja Giryes; Gasper Begus (CoRR, 2025)

DIP-GS: Deep Image Prior For Gaussian Splatting Sparse View Recovery. - Rajaei Khatib; Raja Giryes (CoRR, 2025)