Raja Giryes - RankMe

302 papers A* 26A 12B 9Misc 8Journal 217Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Lensless Polarization Camera. CoRR Noa Kraicer, Shay Elmalem, Erez Yosef, Hani Barhum, Raja Giryes
2026	J	`jnl`	Anatomical Token Uncertainty for Transformer-Guided Active MRI Acquisition. CoRR Lev Ayzenberg, Shady Abu-Hussein, Raja Giryes, Hayit Greenspan
2026	J	`jnl`	CLIMP: Contrastive Language-Image Mamba Pretraining. CoRR Nimrod Shabtay, Itamar Zimerman, Eli Schwartz, Raja Giryes
2026	J	`jnl`	Entropy-Preserving Reinforcement Learning. CoRR Aleksei Petrenko, Ben Lipkin, Kevin Chen, Erik Wijmans, Marco F. Cusumano-Towner, Raja Giryes, Philipp Krähenbühl
2026	J	`jnl`	Explainable Anomaly Detection in Network Traffic Using Normalizing Flows. IEEE Trans. Netw. Lior Shafir, Raja Giryes, Avishai Wool
2026	J	`jnl`	Guided Lensless Polarization Imaging. CoRR Noa Kraicer, Erez Yosef, Raja Giryes
2026	J	`jnl`	ID-LoRA: Identity-Driven Audio-Video Personalization with In-Context LoRA. CoRR Aviad Dahan, Moran Yanuka, Noa Kraicer, Lior Wolf, Raja Giryes
2026	J	`jnl`	Look Where It Matters: High-Resolution Crops Retrieval for Efficient VLMs. CoRR Nimrod Shabtay, Moshe Kimhi, Artem Spector, Sivan Haray, Ehud Rivlin, Chaim Baskin, Raja Giryes, Eli Schwartz
2026	J	`jnl`	Positional Encoding Image Prior. IEEE Trans. Image Process. Nimrod Shabtay, Eli Schwartz, Raja Giryes
2025	J	`jnl`	3VL: Using Trees to Improve Vision-Language Models' Interpretability. IEEE Trans. Image Process. Nir Yellinek, Leonid Karlinsky, Raja Giryes
2025	—	`conf`	Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted Captions. NAACL (Long Papers) Moran Yanuka, Assaf Ben-Kish, Yonatan Bitton, Idan Szpektor, Raja Giryes
2025	J	`jnl`	CARES: Context-Aware Resolution Selector for VLMs. CoRR Moshe Kimhi, Nimrod Shabtay, Raja Giryes, Chaim Baskin, Eli Schwartz
2025	—	`conf`	Comparison Visual Instruction Tuning. CVPR Workshops Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogério Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky
2025	J	`jnl`	ConlangCrafter: Constructing Languages with a Multi-Hop LLM Pipeline. CoRR Morris Alper, Moran Yanuka, Raja Giryes, Gasper Begus
2025	J	`jnl`	DIP-GS: Deep Image Prior For Gaussian Splatting Sparse View Recovery. CoRR Rajaei Khatib, Raja Giryes
2025	A*	`conf`	DeciMamba: Exploring the Length Extrapolation Potential of Mamba. ICLR Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein, Nadav Cohen, Amir Globerson, Lior Wolf, Raja Giryes
2025	J	`jnl`	Diffusion Models are Robust Pretrainers. IEEE Signal Process. Lett. Mika Yagoda, Shady Abu-Hussein, Raja Giryes
2025	J	`jnl`	Inverse Design of Diffractive Metasurfaces Using Diffusion Models. CoRR Liav Hen, Erez Yosef, Dan Raviv, Raja Giryes, Jacob Scheuer
2025	A*	`conf`	LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content. ICLR Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh, Wei Lin, Muhammad Jehanzeb Mirza, Leshem Choshen, Mikhail Yurochkin, Yuekai Sun, Assaf Arbelle, Leonid Karlinsky, Raja Giryes
2025	—	`conf`	Mamba Knockout for Unraveling Factual Information Flow. ACL (1) Nir Endy, Idan Daniel Grosbard, Yuval Ran-Milo, Yonatan Slutzky, Itay Tshuva, Raja Giryes
2025	J	`jnl`	Mamba Knockout for Unraveling Factual Information Flow. CoRR Nir Endy, Idan Daniel Grosbard, Yuval Ran-Milo, Yonatan Slutzky, Itay Tshuva, Raja Giryes
2025	J	`jnl`	Multiplicative Reweighting for Robust Neural Network Optimization. SIAM J. Imaging Sci. Noga Bar, Tomer Koren, Raja Giryes
2025	J	`jnl`	Overflow Prevention Enhances Long-Context Recurrent LLMs. CoRR Assaf Ben-Kish, Itamar Zimerman, Muhammad Jehanzeb Mirza, James R. Glass, Leonid Karlinsky, Raja Giryes
2025	—	`conf`	Performance Gap in Entity Knowledge Extraction Across Modalities in Vision Language Models. ACL (1) Ido Cohen, Daniela Gottesman, Mor Geva, Raja Giryes
2025	J	`jnl`	Principled Coarse-Grained Acceptance for Speculative Decoding in Speech. CoRR Moran Yanuka, Paul Dixon, Eyal Finkelshtein, Daniel Rotman, Raja Giryes
2025	J	`jnl`	Pruning at Initialization - A Sketching Perspective. IEEE Trans. Pattern Anal. Mach. Intell. Noga Bar, Raja Giryes
2025	J	`jnl`	Revisiting Glorot Initialization for Long-Range Linear Recurrences. CoRR Noga Bar, Mariia Seleznova, Yotam Alexander, Gitta Kutyniok, Raja Giryes
2025	J	`jnl`	Robust Posterior Diffusion-based Sampling via Adaptive Guidance Scale. CoRR Liav Hen, Tom Tirer, Raja Giryes, Shady Abu-Hussein
2025	J	`jnl`	Smooth regularization for efficient video recognition. CoRR Gil Goldman, Raja Giryes, Mahadev Satyanarayanan
2025	J	`jnl`	The Diffusion Process as a Correlation Machine: Linear Denoising Insights. Trans. Mach. Learn. Res. Dana Weitzner, Mauricio Delbracio, Peyman Milanfar, Raja Giryes
2025	J	`jnl`	X-ray2CTPA: leveraging diffusion models to enhance pulmonary embolism classification. npj Digit. Medicine Noa Cahan, Eyal Klang, Galit Aviram, Yiftach Barash, Eli Konen, Raja Giryes, Hayit Greenspan
2025	Misc	`conf`	ZOQO: Zero-Order Quantized Optimization. ICASSP Noga Bar, Raja Giryes
2025	J	`jnl`	ZOQO: Zero-Order Quantized Optimization. CoRR Noga Bar, Raja Giryes
2024	J	`jnl`	A Flow is a Stream of Packets: A Stream-Structured Data Approach for DDoS Detection. CoRR Raja Giryes, Lior Shafir, Avishai Wool
2024	J	`jnl`	Bridging the Visual Gap: Fine-Tuning Multimodal Models with Knowledge-Adapted Captions. CoRR Moran Yanuka, Assaf Ben-Kish, Yonatan Bitton, Idan Szpektor, Raja Giryes
2024	J	`jnl`	Comparison Visual Instruction Tuning. CoRR Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogério Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky
2024	—	`conf`	DINOv2 Based Self Supervised Learning for Few Shot Medical Image Segmentation. ISBI Lev Ayzenberg, Raja Giryes, Hayit Greenspan
2024	J	`jnl`	DINOv2 based Self Supervised Learning For Few Shot Medical Image Segmentation. CoRR Lev Ayzenberg, Raja Giryes, Hayit Greenspan
2024	J	`jnl`	DeciMamba: Exploring the Length Extrapolation Potential of Mamba. CoRR Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein, Nadav Cohen, Amir Globerson, Lior Wolf, Raja Giryes
2024	J	`jnl`	Deep Internal Learning: Deep learning from a single input. IEEE Signal Process. Mag. Tom Tirer, Raja Giryes, Se Young Chun, Yonina C. Eldar
2024	B	`conf`	Deep Phase Coded Image Prior. ICCP Nimrod Shabtay, Eli Schwartz, Raja Giryes
2024	J	`jnl`	Deep Phase Coded Image Prior. CoRR Nimrod Shabtay, Eli Schwartz, Raja Giryes
2024	J	`jnl`	DifuzCam: Replacing Camera Lens with a Mask and a Diffusion Model. CoRR Erez Yosef, Raja Giryes
2024	J	`jnl`	Effective Subset Selection Through The Lens of Neural Network Pruning. CoRR Noga Bar, Raja Giryes
2024	A*	`conf`	How do Transformers Perform In-Context Autoregressive Learning ? ICML Michael Eli Sander, Raja Giryes, Taiji Suzuki, Mathieu Blondel, Gabriel Peyré
2024	J	`jnl`	How do Transformers perform In-Context Autoregressive Learning? CoRR Michael E. Sander, Raja Giryes, Taiji Suzuki, Mathieu Blondel, Gabriel Peyré
2024	—	`conf`	ICC : Quantifying Image Caption Concreteness for Multimodal Dataset Curation. ACL (Findings) Moran Yanuka, Morris Alper, Hadar Averbuch-Elor, Raja Giryes
2024	J	`jnl`	ICC: Quantifying Image Caption Concreteness for Multimodal Dataset Curation. CoRR Moran Yanuka, Morris Alper, Hadar Averbuch-Elor, Raja Giryes
2024	A*	`conf`	Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States. ICML Noam Razin, Yotam Alexander, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen
2024	J	`jnl`	Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States. CoRR Noam Razin, Yotam Alexander, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen
2024	J	`jnl`	LiveXiv - A Multi-Modal Live Benchmark Based on Arxiv Papers Content. CoRR Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh, Wei Lin, Muhammad Jehanzeb Mirza, Leshem Choshen, Mikhail Yurochkin, Yuekai Sun, Assaf Arbelle, Leonid Karlinsky, Raja Giryes
2024	J	`jnl`	MAEDAY: MAE for few- and zero-shot AnomalY-Detection. Comput. Vis. Image Underst. Eli Schwartz, Assaf Arbelle, Leonid Karlinsky, Sivan Harary, Florian Scheidegger, Sivan Doveh, Raja Giryes
2024	A	`conf`	Membership Inference Attack Using Self Influence Functions. WACV Gilad Cohen, Raja Giryes
2024	A*	`conf`	Mitigating Open-Vocabulary Caption Hallucinations. EMNLP Assaf Ben-Kish, Moran Yanuka, Morris Alper, Raja Giryes, Hadar Averbuch-Elor
2024	J	`jnl`	On the Relation Between Linear Diffusion and Power Iteration. CoRR Dana Weitzner, Mauricio Delbracio, Peyman Milanfar, Raja Giryes
2024	J	`jnl`	Performance Gap in Entity Knowledge Extraction Across Modalities in Vision Language Models. CoRR Ido Cohen, Daniela Gottesman, Mor Geva, Raja Giryes
2024	J	`jnl`	ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models. CoRR Lev Ayzenberg, Raja Giryes, Hayit Greenspan
2024	A*	`conf`	Provable Benefits of Complex Parameterizations for Structured State Space Models. NeurIPS Yuval Ran-Milo, Eden Lumbroso, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen
2024	J	`jnl`	Provable Benefits of Complex Parameterizations for Structured State Space Models. CoRR Yuval Ran-Milo, Eden Lumbroso, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen
2024	J	`jnl`	SENS: Part-Aware Sketch-based Implicit Neural Shape Modeling. Comput. Graph. Forum Alexandre Binninger, Amir Hertz, Olga Sorkine-Hornung, Daniel Cohen-Or, Raja Giryes
2024	A	`conf`	Simple Post-Training Robustness using Test Time Augmentations and Random Forest. WACV Gilad Cohen, Raja Giryes
2024	J	`jnl`	Teaching VLMs to Localize Specific Objects from In-context Examples. CoRR Sivan Doveh, Nimrod Shabtay, Wei Lin, Eli Schwartz, Hilde Kuehne, Raja Giryes, Rogério Feris, Leonid Karlinsky, James R. Glass, Assaf Arbelle, Shimon Ullman, Muhammad Jehanzeb Mirza
2024	J	`jnl`	TriNeRFLet: A Wavelet Based Multiscale Triplane NeRF Representation. CoRR Rajaei Khatib, Raja Giryes
2024	—	`conf`	TriNeRFLet: A Wavelet Based Triplane NeRF Representation. ECCV (79) Rajaei Khatib, Raja Giryes
2024	A*	`conf`	UDPM: Upsampling Diffusion Probabilistic Models. NeurIPS Shady Abu-Hussein, Raja Giryes
2024	—	`conf`	Video Polyp Segmentation using Implicit Networks. MIDL Aviad Dahan, Tal Shaharabany, Raja Giryes, Lior Wolf
2024	J	`jnl`	X-ray2CTPA: Generating 3D CTPA scans from 2D X-ray conditioning. CoRR Noa Cahan, Eyal Klang, Galit Aviram, Yiftach Barash, Eli Konen, Raja Giryes, Hayit Greenspan
2023	J	`jnl`	3VL: using Trees to teach Vision & Language models compositional concepts. CoRR Nir Yellinek, Leonid Karlinsky, Raja Giryes
2023	—	`conf`	A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images. ISBI Dominik Jens Elias Waibel, Ernst Röell, Bastian Rieck, Raja Giryes, Carsten Marr
2023	J	`jnl`	A Function Space Analysis of Finite Neural Networks With Insights From Sampling Theory. IEEE Trans. Pattern Anal. Mach. Intell. Raja Giryes
2023	J	`jnl`	A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels. CoRR Dana Cohen Hochberg, Hayit Greenspan, Raja Giryes
2023	J	`jnl`	An information-Theoretic Approach to Semi-supervised Transfer Learning. CoRR Daniel Jakubovitz, David Uliel, Miguel R. D. Rodrigues, Raja Giryes
2023	A	`conf`	AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder. BMVC Tal Shaharabany, Aviad Dahan, Raja Giryes, Lior Wolf
2023	J	`jnl`	AutoSAM: Adapting SAM to Medical Images by Overloading the Prompt Encoder. CoRR Tal Shaharabany, Aviad Dahan, Raja Giryes, Lior Wolf
2023	J	`jnl`	Comparing machine learning models for tau triggers. CoRR Maayan Yaary, Uriel Barron, Luis Pascual Domínguez, Boping Chen, Liron Barak, Erez Etzion, Raja Giryes
2023	J	`jnl`	Deep Internal Learning: Deep Learning from a Single Input. CoRR Tom Tirer, Raja Giryes, Se Young Chun, Yonina C. Eldar
2023	A*	`conf`	Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. NeurIPS Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
2023	J	`jnl`	Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models. CoRR Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
2023	J	`jnl`	Group Orthogonalization Regularization For Vision Models Adaptation and Robustness. CoRR Yoav Kurtz, Noga Bar, Raja Giryes
2023	A	`conf`	Group Orthogonalization Regularization for Vision Models Adaptation and Robustness. BMVC Yoav Kurtz, Noga Bar, Raja Giryes
2023	A*	`conf`	Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures. CVPR Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, Daniel Cohen-Or
2023	A*	`conf`	Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets. ICLR Edo Cohen-Karlik, Itamar Menuhin-Gruman, Raja Giryes, Nadav Cohen, Amir Globerson
2023	J	`jnl`	MOCHa: Multi-Objective Reinforcement Mitigating Caption Hallucinations. CoRR Assaf Ben-Kish, Moran Yanuka, Morris Alper, Raja Giryes, Hadar Averbuch-Elor
2023	J	`jnl`	Mesh Draping: Parametrization-Free Neural Mesh Transfer. Comput. Graph. Forum Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or
2023	—	`conf`	Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI. CaPTion@MICCAI Daniel M. Lang, Eli Schwartz, Cosmin I. Bercea, Raja Giryes, Julia A. Schnabel
2023	A*	`conf`	Neural (Tangent Kernel) Collapse. NeurIPS Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou
2023	J	`jnl`	Neural (Tangent Kernel) Collapse. CoRR Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou
2023	J	`jnl`	On The Relationship Between Universal Adversarial Attacks And Sparse Representations. CoRR Dana Weitzner, Raja Giryes
2023	J	`jnl`	Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor]. IEEE Signal Process. Mag. Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye
2023	J	`jnl`	Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors]. IEEE Signal Process. Mag. Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye
2023	J	`jnl`	Pruning at Initialization - A Sketching Perspective. CoRR Noga Bar, Raja Giryes
2023	J	`jnl`	SENS: Sketch-based Implicit Neural Shape Modeling. CoRR Alexandre Binninger, Amir Hertz, Olga Sorkine-Hornung, Daniel Cohen-Or, Raja Giryes
2023	—	`conf`	Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes. ICCV (Workshops) Dana Cohen-Bar, Elad Richardson, Gal Metzer, Raja Giryes, Daniel Cohen-Or
2023	J	`jnl`	Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes. CoRR Dana Cohen-Bar, Elad Richardson, Gal Metzer, Raja Giryes, Daniel Cohen-Or
2023	—	`conf`	TEXTure: Text-Guided Texturing of 3D Shapes. SIGGRAPH (Conference Paper Track) Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or
2023	J	`jnl`	TEXTure: Text-Guided Texturing of 3D Shapes. CoRR Elad Richardson, Gal Metzer, Yuval Alaluf, Raja Giryes, Daniel Cohen-Or
2023	A*	`conf`	Teaching Structured Vision & Language Concepts to Vision & Language Models. CVPR Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogério Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky
2023	J	`jnl`	Tell Me What You See: Text-Guided Real-World Image Denoising. CoRR Erez Yosef, Raja Giryes
2023	J	`jnl`	UDPM: Upsampling Diffusion Probabilistic Models. CoRR Shady Abu-Hussein, Raja Giryes
2023	J	`jnl`	VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. CoRR Dina Bashkirova, Samarth Mishra, Diala Lteif, Piotr Teterwak, Donghyun Kim, Fadi M. Alladkani, James Akl, Berk Çalli, Sarah Adel Bargal, Kate Saenko, Daehan Kim, Minseok Seo, Youngjin Jeon, Dong-Geol Choi, Shahaf Ettedgui, Raja Giryes, Shady Abu-Hussein, Binhui Xie, Shuang Li
2022	J	`jnl`	A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images. CoRR Dominik Jens Elias Waibel, Ernst Röell, Bastian Rieck, Raja Giryes, Carsten Marr
2022	J	`jnl`	A Self Supervised StyleGAN for Image Annotation and Classification With Extremely Limited Labels. IEEE Trans. Medical Imaging Dana Cohen Hochberg, Hayit Greenspan, Raja Giryes
2022	A	`conf`	A Spectral Perspective of DNN Robustness to Label Noise. AISTATS Oshrat Bar, Amnon Drory, Raja Giryes
2022	J	`jnl`	ADIR: Adaptive Diffusion for Image Reconstruction. CoRR Shady Abu-Hussein, Tom Tirer, Raja Giryes
2022	J	`jnl`	Baby steps towards few-shot learning with multiple semantics. Pattern Recognit. Lett. Eli Schwartz, Leonid Karlinsky, Rogério Feris, Raja Giryes, Alexander M. Bronstein
2022	J	`jnl`	Cluster with GANs. Comput. Vis. Image Underst. Yuri Feigin, Hedva Spitzer, Raja Giryes
2022	J	`jnl`	DeepMLS: Geometry-Aware Control Point Deformation. CoRR Meitar Shechter, Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or
2022	J	`jnl`	Extending the Vocabulary of Fictional Languages using Neural Networks. CoRR Thomas Zacharias, Ashutosh Taklikar, Raja Giryes
2022	—	`conf`	FLEX: Extrinsic Parameters-free Multi-view 3D Human Motion Reconstruction. ECCV (33) Brian Gordon, Sigal Raab, Guy Azov, Raja Giryes, Daniel Cohen-Or
2022	J	`jnl`	Generative Adversarial Networks. CoRR Gilad Cohen, Raja Giryes
2022	A	`conf`	Image Restoration by Deep Projected GSURE. WACV Shady Abu-Hussein, Tom Tirer, Se Young Chun, Yonina C. Eldar, Raja Giryes
2022	J	`jnl`	Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures. CoRR Gal Metzer, Elad Richardson, Or Patashnik, Raja Giryes, Daniel Cohen-Or
2022	J	`jnl`	Learning Camera Control in Dynamic Scenes from Limited Demonstrations. Comput. Graph. Forum Rana Hanocka, Jackie Assa, Daniel Cohen-Or, Raja Giryes
2022	J	`jnl`	Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network. CoRR Edo Cohen-Karlik, Itamar Menuhin-Gruman, Nadav Cohen, Raja Giryes, Amir Globerson
2022	J	`jnl`	MAEDAY: MAE for few and zero shot AnomalY-Detection. CoRR Eli Schwartz, Assaf Arbelle, Leonid Karlinsky, Sivan Harary, Florian Scheidegger, Sivan Doveh, Raja Giryes
2022	J	`jnl`	Membership Inference Attack Using Self Influence Functions. CoRR Gilad Cohen, Raja Giryes
2022	—	`conf`	NeuralMLS: Geometry-Aware Control Point Deformation. Eurographics (Short Papers) Meitar Shechter, Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or
2022	J	`jnl`	PIP: Positional-encoding Image Prior. CoRR Nimrod Shabtay, Eli Schwartz, Raja Giryes
2022	J	`jnl`	ProCST: Boosting Semantic Segmentation using Progressive Cyclic Style-Transfer. CoRR Shahaf Ettedgui, Shady Abu-Hussein, Raja Giryes
2022	J	`jnl`	SPAGHETTI: Editing Implicit Shapes Through Part Aware Generation. CoRR Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or
2022	J	`jnl`	SPAGHETTI: editing implicit shapes through part aware generation. ACM Trans. Graph. Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or
2022	J	`jnl`	Stress-Testing LiDAR Registration. CoRR Amnon Drory, Shai Avidan, Raja Giryes
2022	J	`jnl`	Teaching Structured Vision&Language Concepts to Vision&Language Models. CoRR Sivan Doveh, Assaf Arbelle, Sivan Harary, Rameswar Panda, Roei Herzig, Eli Schwartz, Donghyun Kim, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky
2022	A*	`conf`	Unsupervised Domain Generalization by Learning a Bridge Across Domains. CVPR 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, Rogério Feris, Leonid Karlinsky
2022	B	`conf`	Utilizing Excess Resources in Training Neural Networks. ICIP Amit Henig, Raja Giryes
2022	J	`jnl`	Utilizing Excess Resources in Training Neural Networks. CoRR Amit Henig, Raja Giryes
2022	J	`jnl`	Z2P: Instant Visualization of Point Clouds. Comput. Graph. Forum Gal Metzer, Rana Hanocka, Raja Giryes, Niloy J. Mitra, Daniel Cohen-Or
2021	B	`conf`	An Interpretation Of Regularization By Denoising And Its Application With The Back-Projected Fidelity Term. ICIP Einav Yogev-Ofer, Tom Tirer, Raja Giryes
2021	J	`jnl`	An Interpretation of Regularization by Denoising and its Application with the Back-Projected Fidelity Term. CoRR Einav Yogev-Ofer, Tom Tirer, Raja Giryes
2021	J	`jnl`	DEGAS: differentiable efficient generator search. Neural Comput. Appl. Sivan Doveh, Raja Giryes
2021	—	`conf`	DeepBBS: Deep Best Buddies for Point Cloud Registration. 3DV Itan Hezroni, Amnon Drory, Raja Giryes, Shai Avidan
2021	J	`jnl`	DeepBBS: Deep Best Buddies for Point Cloud Registration. CoRR Itan Hezroni, Amnon Drory, Raja Giryes, Shai Avidan
2021	A*	`conf`	Detector-Free Weakly Supervised Grounding by Separation. ICCV Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky
2021	J	`jnl`	Detector-Free Weakly Supervised Grounding by Separation. CoRR Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky
2021	J	`jnl`	FLEX: Parameter-free Multi-view 3D Human Motion Reconstruction. CoRR Brian Gordon, Sigal Raab, Guy Azov, Raja Giryes, Daniel Cohen-Or
2021	A*	`conf`	Fine-Grained Angular Contrastive Learning With Coarse Labels. CVPR Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky
2021	J	`jnl`	ISP Distillation. CoRR Eli Schwartz, Alex M. Bronstein, Raja Giryes
2021	J	`jnl`	Image Restoration by Deep Projected GSURE. CoRR Shady Abu-Hussein, Tom Tirer, Se Young Chun, Yonina C. Eldar, Raja Giryes
2021	J	`jnl`	KATANA: Simple Post-Training Robustness Using Test Time Augmentations. CoRR Gilad Cohen, Raja Giryes
2021	—	`conf`	Kernel-Based Smoothness Analysis of Residual Networks. MSML Tom Tirer, Joan Bruna, Raja Giryes
2021	J	`jnl`	MISS GAN: A Multi-IlluStrator Style Generative Adversarial Network for image to illustration translation. CoRR Noa Barzilay, Tal Berkovitz Shalev, Raja Giryes
2021	J	`jnl`	MISS GAN: A Multi-IlluStrator style generative adversarial network for image to illustration translation. Pattern Recognit. Lett. Noa Barzilay, Tal Berkovitz Shalev, Raja Giryes
2021	J	`jnl`	Mesh Draping: Parametrization-Free Neural Mesh Transfer. CoRR Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or
2021	J	`jnl`	MetAdapt: Meta-learned task-adaptive architecture for few-shot classification. Pattern Recognit. Lett. Sivan Doveh, Eli Schwartz, Chao Xue, Rogério Feris, Alexander M. Bronstein, Raja Giryes, Leonid Karlinsky
2021	J	`jnl`	Multiplicative Reweighting for Robust Neural Network Optimization. CoRR Noga Bar, Tomer Koren, Raja Giryes
2021	J	`jnl`	On the Convergence Rate of Projected Gradient Descent for a Back-Projection Based Objective. SIAM J. Imaging Sci. Tom Tirer, Raja Giryes
2021	J	`jnl`	Online Training of Stereo Self-Calibration Using Monocular Depth Estimation. IEEE Trans. Computational Imaging Yotam Gil, Shay Elmalem, Harel Haim, Emanuel Marom, Raja Giryes
2021	J	`jnl`	Orienting Point Clouds with Dipole Propagation. CoRR Gal Metzer, Rana Hanocka, Denis Zorin, Raja Giryes, Daniele Panozzo, Daniel Cohen-Or
2021	J	`jnl`	Orienting point clouds with dipole propagation. ACM Trans. Graph. Gal Metzer, Rana Hanocka, Denis Zorin, Raja Giryes, Daniele Panozzo, Daniel Cohen-Or
2021	J	`jnl`	Progressive Encoding for Neural Optimization. CoRR Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or
2021	A*	`conf`	SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization. NeurIPS Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, Daniel Cohen-Or
2021	J	`jnl`	Self-Sampling for Neural Point Cloud Consolidation. ACM Trans. Graph. Gal Metzer, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
2021	J	`jnl`	Separable Joint Blind Deconvolution and Demixing. IEEE J. Sel. Top. Signal Process. Dana Weitzner, Raja Giryes
2021	A*	`conf`	StarNet: towards Weakly Supervised Few-Shot Object Detection. AAAI Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Feris, Alex M. Bronstein, Raja Giryes
2021	B	`conf`	Style encoding for class-specific image generation. Image Processing Dana Cohen Hochberg, Raja Giryes, Hayit Greenspan
2021	J	`jnl`	Unsupervised Domain Generalization by Learning a Bridge Across Domains. CoRR 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, Rogério Feris, Leonid Karlinsky
2021	J	`jnl`	Video Reconstruction from a Single Motion Blurred Image using Learned Dynamic Phase Coding. CoRR Erez Yosef, Shay Elmalem, Raja Giryes
2021	—	`conf`	VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting. NeurIPS (Competition and Demos) Dina Bashkirova, Samarth Mishra, Diala Lteif, Piotr Teterwak, Donghyun Kim, Fadi M. Alladkani, James Akl, Berk Çalli, Sarah Adel Bargal, Kate Saenko, Daehan Kim, Minseok Seo, Youngjin Jeon, Dong-Geol Choi, Shahaf Ettedgui, Raja Giryes, Shady Abu-Hussein, Binhui Xie, Shuang Li
2021	J	`jnl`	Z2P: Instant Rendering of Point Clouds. CoRR Gal Metzer, Rana Hanocka, Raja Giryes, Niloy J. Mitra, Daniel Cohen-Or
2020	J	`jnl`	A function space analysis of finite neural networks with insights from sampling theory. CoRR Raja Giryes
2020	A	`conf`	ASAP: Architecture Search, Anneal and Prune. AISTATS Asaf Noy, Niv Nayman, Tal Ridnik, Nadav Zamir, Sivan Doveh, Itamar Friedman, Raja Giryes, Lihi Zelnik
2020	A	`conf`	An ETF view of Dropout regularization. BMVC Dor Bank, Raja Giryes
2020	J	`jnl`	Autoencoders. CoRR Dor Bank, Noam Koenigstein, Raja Giryes
2020	—	`conf`	BP-DIP: A Backprojection based Deep Image Prior. EUSIPCO Jenny Zukerman, Tom Tirer, Raja Giryes
2020	J	`jnl`	BP-DIP: A Backprojection based Deep Image Prior. CoRR Jenny Zukerman, Tom Tirer, Raja Giryes
2020	J	`jnl`	Back-Projection Based Fidelity Term for Ill-Posed Linear Inverse Problems. IEEE Trans. Image Process. Tom Tirer, Raja Giryes
2020	—	`conf`	Best Buddies Registration for Point Clouds. ACCV (1) Amnon Drory, Tal Shomer, Shai Avidan, Raja Giryes
2020	J	`jnl`	Best Buddies Registration for Point Clouds. CoRR Amnon Drory, Tal Shomer, Shai Avidan, Raja Giryes
2020	A*	`conf`	Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers. CVPR Shady Abu Hussein, Tom Tirer, Raja Giryes
2020	J	`jnl`	Corrections to "Deep Neural Networks With Random Gaussian Weights: A Universal Classification Strategy?". IEEE Trans. Signal Process. Raja Giryes, Guillermo Sapiro, Alex M. Bronstein
2020	J	`jnl`	Deep Geometric Texture Synthesis. CoRR Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
2020	A	`conf`	Deep Sparse Light Field Refocusing. BMVC Shachar Ben Dayan, David Mendlovic, Raja Giryes
2020	J	`jnl`	Deep Sparse Light Field Refocusing. CoRR Shachar Ben Dayan, David Mendlovic, Raja Giryes
2020	J	`jnl`	Deep geometric texture synthesis. ACM Trans. Graph. Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
2020	A*	`conf`	Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors. CVPR Gilad Cohen, Guillermo Sapiro, Raja Giryes
2020	J	`jnl`	Efficient Least Residual Greedy Algorithms for Sparse Recovery. CoRR Guy Leibovitz, Raja Giryes
2020	J	`jnl`	Efficient Least Residual Greedy Algorithms for Sparse Recovery. IEEE Trans. Signal Process. Guy Leibovitz, Raja Giryes
2020	B	`conf`	Face Authentication From Grayscale Coded Light Field. ICIP Dana Weitzner, David Mendlovic, Raja Giryes
2020	J	`jnl`	Face Authentication from Grayscale Coded Light Field. CoRR Dana Weitzner, David Mendlovic, Raja Giryes
2020	J	`jnl`	Fine-grained Angular Contrastive Learning with Coarse Labels. CoRR Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky
2020	J	`jnl`	GMM-Based Generative Adversarial Encoder Learning. CoRR Yuri Feigin, Hedva Spitzer, Raja Giryes
2020	A*	`conf`	Image-Adaptive GAN Based Reconstruction. AAAI Shady Abu Hussein, Tom Tirer, Raja Giryes
2020	J	`jnl`	Introduction to deep learning. CoRR Lihi Shiloh-Perl, Raja Giryes
2020	J	`jnl`	Kernel-Based Smoothness Analysis of Residual Networks. CoRR Tom Tirer, Joan Bruna, Raja Giryes
2020	A*	`conf`	Low Resource Sequence Tagging using Sentence Reconstruction. ACL Tal Perl, Sriram Chaudhury, Raja Giryes
2020	J	`jnl`	Motion Deblurring using Spatiotemporal Phase Aperture Coding. CoRR Shay Elmalem, Raja Giryes, Emanuel Marom
2020	Misc	`conf`	On Divergence Approximations for Unsupervised Training of Deep Denoisers Based on Stein's Unbiased Risk Estimator. ICASSP Shakarim Soltanayev, Raja Giryes, Se Young Chun, Yonina C. Eldar
2020	J	`jnl`	On the Convergence Rate of Projected Gradient Descent for a Back-Projection based Objective. CoRR Tom Tirer, Raja Giryes
2020	J	`jnl`	Point2Mesh: A Self-Prior for Deformable Meshes. CoRR Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or
2020	J	`jnl`	Point2Mesh: a self-prior for deformable meshes. ACM Trans. Graph. Rana Hanocka, Gal Metzer, Raja Giryes, Daniel Cohen-Or
2020	A*	`conf`	PointGMM: A Neural GMM Network for Point Clouds. CVPR Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
2020	J	`jnl`	PointGMM: a Neural GMM Network for Point Clouds. CoRR Amir Hertz, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
2020	J	`jnl`	Self-Sampling for Neural Point Cloud Consolidation. CoRR Gal Metzer, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
2020	J	`jnl`	Self-supervised Neural Architecture Search. CoRR Sapir Kaplan, Raja Giryes
2020	Misc	`conf`	Separable Optimization for Joint Blind Deconvolution and Demixing. ICASSP Dana Weitzner, Raja Giryes
2020	J	`jnl`	StarNet: towards weakly supervised few-shot detection and explainable few-shot classification. CoRR Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes
2020	A	`conf`	Supervised and Unsupervised Learning of Parameterized Color Enhancement. WACV Yoav Chai, Raja Giryes, Lior Wolf
2020	J	`jnl`	Supervised and Unsupervised Learning of Parameterized Color Enhancement. CoRR Yoav Chai, Raja Giryes, Lior Wolf
2020	—	`conf`	TAFSSL: Task-Adaptive Feature Sub-Space Learning for Few-Shot Classification. ECCV (7) Moshe Lichtenstein, Prasanna Sattigeri, Rogério Feris, Raja Giryes, Leonid Karlinsky
2020	J	`jnl`	TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification. CoRR Moshe Lichtenstein, Prasanna Sattigeri, Rogério Schmidt Feris, Raja Giryes, Leonid Karlinsky
2020	—	`conf`	Taco-VC: A Single Speaker Tacotron based Voice Conversion with Limited Data. EUSIPCO Roee Levy Leshem, Raja Giryes
2020	A	`conf`	The Resistance to Label Noise in K-NN and DNN Depends on its Concentration. BMVC Amnon Drory, Oria Ratzon, Shai Avidan, Raja Giryes
2019	J	`jnl`	A Greedy Approach to ℓ SIAM J. Imaging Sci. Elad Plaut, Raja Giryes
2019	J	`jnl`	ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning. ACM Trans. Graph. Rana Hanocka, Noa Fish, Zhenhua Wang, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or
2019	J	`jnl`	ASAP: Architecture Search, Anneal and Prune. CoRR Asaf Noy, Niv Nayman, Tal Ridnik, Nadav Zamir, Sivan Doveh, Itamar Friedman, Raja Giryes, Lihi Zelnik-Manor
2019	J	`jnl`	Baby steps towards few-shot learning with multiple semantics. CoRR Eli Schwartz, Leonid Karlinsky, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
2019	J	`jnl`	Back-Projection based Fidelity Term for Ill-Posed Linear Inverse Problems. CoRR Tom Tirer, Raja Giryes
2019	A*	`conf`	Blind Visual Motif Removal From a Single Image. CVPR Amir Hertz, Sharon Fogel, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
2019	J	`jnl`	Blind Visual Motif Removal from a Single Image. CoRR Amir Hertz, Sharon Fogel, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
2019	J	`jnl`	Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers. CoRR Shady Abu Hussein, Tom Tirer, Raja Giryes
2019	J	`jnl`	DEGAS: Differentiable Efficient Generator Search. CoRR Sivan Doveh, Raja Giryes
2019	J	`jnl`	Deep Radar Detector. CoRR Daniel Brodeski, Igal Bilik, Raja Giryes
2019	J	`jnl`	DeepISP: Toward Learning an End-to-End Image Processing Pipeline. IEEE Trans. Image Process. Eli Schwartz, Raja Giryes, Alexander M. Bronstein
2019	J	`jnl`	Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors. CoRR Gilad Cohen, Guillermo Sapiro, Raja Giryes
2019	J	`jnl`	Image Restoration by Iterative Denoising and Backward Projections. IEEE Trans. Image Process. Tom Tirer, Raja Giryes
2019	J	`jnl`	Image-Adaptive GAN based Reconstruction. CoRR Shady Abu Hussein, Tom Tirer, Raja Giryes
2019	A*	`conf`	LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning. CVPR Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
2019	J	`jnl`	LaSO: Label-Set Operations networks for multi-label few-shot learning. CoRR Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
2019	—	`conf`	Lautum Regularization for Semi-Supervised Transfer Learning. ICCV Workshops Daniel Jakubovitz, Miguel R. D. Rodrigues, Raja Giryes
2019	J	`jnl`	Lautum Regularization for Semi-supervised Transfer Learning. CoRR Daniel Jakubovitz, Miguel R. D. Rodrigues, Raja Giryes
2019	J	`jnl`	MeshCNN: a network with an edge. ACM Trans. Graph. Rana Hanocka, Amir Hertz, Noa Fish, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or
2019	J	`jnl`	MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification. CoRR Sivan Doveh, Eli Schwartz, Chao Xue, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes, Leonid Karlinsky
2019	J	`jnl`	MonSter: Awakening the Mono in Stereo. CoRR Yotam Gil, Shay Elmalem, Harel Haim, Emanuel Marom, Raja Giryes
2019	A*	`conf`	RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection. CVPR Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
2019	J	`jnl`	Super-Resolution via Image-Adapted Denoising CNNs: Incorporating External and Internal Learning. IEEE Signal Process. Lett. Tom Tirer, Raja Giryes
2019	J	`jnl`	TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set. Medical Image Anal. Moran Rubin, Omer Stein, Nir A. Turko, Yoav Nygate, Darina Roitshtain, Lidor Karako, Itay Barnea, Raja Giryes, Natan T. Shaked
2019	J	`jnl`	Taco-VC: A Single Speaker Tacotron based Voice Conversion with Limited Data. CoRR Roee Levy Leshem, Raja Giryes
2019	J	`jnl`	UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks. ACM Trans. Comput. Syst. Chaim Baskin, Natan Liss, Eli Schwartz, Evgenii Zheltonozhskii, Raja Giryes, Alex M. Bronstein, Avi Mendelson
2018	J	`jnl`	A Greedy Approach to 𝓁 CoRR Elad Plaut, Raja Giryes
2018	J	`jnl`	ALIGNet: Partial-Shape Agnostic Alignment via Unsupervised Learning. CoRR Rana Hanocka, Noa Fish, Zhenhua Wang, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or
2018	B	`conf`	An Iterative Denoising and Backwards Projections Method and its Advantages for Blind Deblurring. ICIP Tom Tirer, Raja Giryes
2018	J	`jnl`	Class-Aware Fully Convolutional Gaussian and Poisson Denoising. IEEE Trans. Image Process. Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein
2018	J	`jnl`	Class-Aware Fully-Convolutional Gaussian and Poisson Denoising. CoRR Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein
2018	J	`jnl`	DNN or k-NN: That is the Generalize vs. Memorize Question. CoRR Gilad Cohen, Guillermo Sapiro, Raja Giryes
2018	J	`jnl`	DeepISP: Learning End-to-End Image Processing Pipeline. CoRR Eli Schwartz, Raja Giryes, Alexander M. Bronstein
2018	A*	`conf`	Delta-encoder: an effective sample synthesis method for few-shot object recognition. NeurIPS Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Abhishek Kumar, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein
2018	J	`jnl`	Delta-encoder: an effective sample synthesis method for few-shot object recognition. CoRR Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein
2018	J	`jnl`	Depth Estimation From a Single Image Using Deep Learned Phase Coded Mask. IEEE Trans. Computational Imaging Harel Haim, Shay Elmalem, Raja Giryes, Alexander M. Bronstein, Emanuel Marom
2018	J	`jnl`	Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware. CoRR Natan Liss, Chaim Baskin, Avi Mendelson, Alexander M. Bronstein, Raja Giryes
2018	J	`jnl`	Fast and Accurate Reconstruction of Compressed Color Light Field. CoRR Ofir Nabati, David Mendlovic, Raja Giryes
2018	B	`conf`	Fast and accurate reconstruction of compressed color light field. ICCP Ofir Nabati, David Mendlovic, Raja Giryes
2018	J	`jnl`	Generalization Error in Deep Learning. CoRR Daniel Jakubovitz, Raja Giryes, Miguel R. D. Rodrigues
2018	—	`conf`	Improving DNN Robustness to Adversarial Attacks Using Jacobian Regularization. ECCV (12) Daniel Jakubovitz, Raja Giryes
2018	J	`jnl`	Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization. CoRR Daniel Jakubovitz, Raja Giryes
2018	Misc	`conf`	Learned Convolutional Sparse Coding. ICASSP Hillel Sreter, Raja Giryes
2018	Misc	`conf`	Matching Pursuit Based Convolutional Sparse Coding. ICASSP Elad Plaut, Raja Giryes
2018	J	`jnl`	MeshCNN: A Network with an Edge. CoRR Rana Hanocka, Amir Hertz, Noa Fish, Raja Giryes, Shachar Fleishman, Daniel Cohen-Or
2018	J	`jnl`	NICE: Noise Injection and Clamping Estimation for Neural Network Quantization. CoRR Chaim Baskin, Natan Liss, Yoav Chai, Evgenii Zheltonozhskii, Eli Schwartz, Raja Giryes, Avi Mendelson, Alexander M. Bronstein
2018	J	`jnl`	On the Resistance of Neural Nets to Label Noise. CoRR Amnon Drory, Shai Avidan, Raja Giryes
2018	J	`jnl`	On the relationship between Dropout and Equiangular Tight Frames. CoRR Dor Bank, Raja Giryes
2018	J	`jnl`	Ranking Recovery from Limited Comparisons using Low-Rank Matrix Completion. CoRR Tal Levy, Alireza Vahid, Raja Giryes
2018	J	`jnl`	RepMet: Representative-based metric learning for classification and one-shot object detection. CoRR Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Sharathchandra Pankanti, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein
2018	J	`jnl`	Super-Resolution based on Image-Adapted CNN Denoisers: Incorporating Generalization of Training Data and Internal Learning in Test Time. CoRR Tom Tirer, Raja Giryes
2018	J	`jnl`	TOP-GAN: Label-Free Cancer Cell Classification Using Deep Learning with a Small Training Set. CoRR Moran Rubin, Omer Stein, Nir A. Turko, Yoav Nygate, Darina Roitshtain, Lidor Karako, Itay Barnea, Raja Giryes, Natan T. Shaked
2018	—	`conf`	Task-Driven Dictionary Learning based on Convolutional Neural Network Features. EUSIPCO Tom Tirer, Raja Giryes
2018	Misc	`conf`	The Learned Inexact Project Gradient Descent Algorithm. ICASSP Raja Giryes, Yonina C. Eldar, Alexander M. Bronstein, Guillermo Sapiro
2018	J	`jnl`	Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems. IEEE Trans. Signal Process. Raja Giryes, Yonina C. Eldar, Alexander M. Bronstein, Guillermo Sapiro
2018	J	`jnl`	UNIQ: Uniform Noise Injection for the Quantization of Neural Networks. CoRR Chaim Baskin, Eli Schwartz, Evgenii Zheltonozhskii, Natan Liss, Raja Giryes, Alexander M. Bronstein, Avi Mendelson
2017	J	`jnl`	Deep Class Aware Denoising. CoRR Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein
2017	J	`jnl`	Deep Convolutional Denoising of Low-Light Images. CoRR Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein
2017	B	`conf`	Deep class-aware image denoising. ICIP Tal Remez, Or Litany, Raja Giryes, Alexander M. Bronstein
2017	A	`conf`	Generalization Error of Invariant Classifiers. AISTATS Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues
2017	J	`jnl`	Generalizing CoSaMP to Signals from a Union of Low Dimensional Linear Subspaces. CoRR Tom Tirer, Raja Giryes
2017	J	`jnl`	Image Restoration by Iterative Denoising and Backward Projections. CoRR Tom Tirer, Raja Giryes
2017	J	`jnl`	Mathematics of Deep Learning. CoRR René Vidal, Joan Bruna, Raja Giryes, Stefano Soatto
2017	J	`jnl`	Robust Large Margin Deep Neural Networks. IEEE Trans. Signal Process. Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues
2017	—	`conf`	White Matter Fiber Representation Using Continuous Dictionary Learning. MICCAI (1) Guy Alexandroni, Yana Podolsky, Hayit Greenspan, Tal Remez, Or Litany, Alexander M. Bronstein, Raja Giryes
2016	J	`jnl`	A greedy algorithm for the analysis transform domain. Neurocomputing Raja Giryes
2016	J	`jnl`	Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? IEEE Trans. Signal Process. Raja Giryes, Guillermo Sapiro, Alexander M. Bronstein
2016	J	`jnl`	Generalization Error of Invariant Classifiers. CoRR Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues
2016	J	`jnl`	Margin Preservation of Deep Neural Networks. CoRR Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues
2016	J	`jnl`	Poisson inverse problems by the Plug-and-Play scheme. J. Vis. Commun. Image Represent. Arie Rond, Raja Giryes, Michael Elad
2016	J	`jnl`	Postprocessing of Compressed Images via Sequential Denoising. IEEE Trans. Image Process. Yehuda Dar, Alfred M. Bruckstein, Michael Elad, Raja Giryes
2016	J	`jnl`	Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems. CoRR Raja Giryes, Yonina C. Eldar, Alexander M. Bronstein, Guillermo Sapiro
2015	J	`jnl`	Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? CoRR Raja Giryes, Guillermo Sapiro, Alexander M. Bronstein
2015	J	`jnl`	Near oracle performance and block analysis of signal space greedy methods. J. Approx. Theory Raja Giryes, Deanna Needell
2015	J	`jnl`	On the Effective Measure of Dimension in the Analysis Cosparse Model. IEEE Trans. Inf. Theory Raja Giryes, Yaniv Plan, Roman Vershynin
2015	—	`conf`	On the Stability of Deep Networks. ICLR (Workshop) Raja Giryes, Guillermo Sapiro, Alexander M. Bronstein
2015	J	`jnl`	Poisson Inverse Problems by the Plug-and-Play scheme. CoRR Arie Rond, Raja Giryes, Michael Elad
2015	J	`jnl`	Postprocessing of Compressed Images via Sequential Denoising. CoRR Yehuda Dar, Alfred M. Bruckstein, Michael Elad, Raja Giryes
2015	J	`jnl`	Sparsity Based Methods for Overparameterized Variational Problems. SIAM J. Imaging Sci. Raja Giryes, Michael Elad, Alfred M. Bruckstein
2014	J	`jnl`	Near Oracle Performance of Signal Space Greedy Methods. CoRR Raja Giryes, Deanna Needell
2014	J	`jnl`	On the Effective Measure of Dimension in the Analysis Cosparse Model. CoRR Raja Giryes, Yaniv Plan, Roman Vershynin
2014	J	`jnl`	Sampling in the Analysis Transform Domain. CoRR Raja Giryes
2014	J	`jnl`	Sparsity Based Methods for Overparametrized Variational Problems. CoRR Raja Giryes, Michael Elad, Alfred M. Bruckstein
2014	B	`conf`	Sparsity based poisson inpainting. ICIP Raja Giryes, Michael Elad
2014	—	`—`	Sparsity models for signals: theory and applications. Raja Giryes
2014	J	`jnl`	Sparsity-Based Poisson Denoising With Dictionary Learning. IEEE Trans. Image Process. Raja Giryes, Michael Elad
2013	Misc	`conf`	Can we allow linear dependencies in the dictionary in the sparse synthesis framework? ICASSP Raja Giryes, Michael Elad
2013	J	`jnl`	Can we allow linear dependencies in the dictionary in the sparse synthesis framework? CoRR Raja Giryes, Michael Elad
2013	J	`jnl`	Greedy Algorithm for the Analysis Transform Domain. CoRR Raja Giryes
2013	J	`jnl`	Greedy Signal Space Methods for incoherence and beyond. CoRR Raja Giryes, Deanna Needell
2013	J	`jnl`	Sparsity Based Poisson Denoising with Dictionary Learning. CoRR Raja Giryes, Michael Elad
2012	—	`conf`	Cosamp and SP for the cosparse analysis model. EUSIPCO Raja Giryes, Michael Elad
2012	J	`jnl`	RIP-Based Near-Oracle Performance Guarantees for SP, CoSaMP, and IHT. IEEE Trans. Signal Process. Raja Giryes, Michael Elad
2012	J	`jnl`	Simple and Robust Binary Self-Location Patterns. IEEE Trans. Inf. Theory Alfred M. Bruckstein, Tuvi Etzion, Raja Giryes, Noam Gordon, Robert J. Holt, Doron Shuldiner
2011	—	`conf`	Denoising with greedy-like pursuit algorithms. EUSIPCO Raja Giryes, Michael Elad
2011	—	`conf`	Iterative cosparse projection algorithms for the recovery of cosparse vectors. EUSIPCO Raja Giryes, Sangnam Nam, Rémi Gribonval, Mike E. Davies
2011	Misc	`conf`	Online performance guarantees for sparse recovery. ICASSP Raja Giryes, Volkan Cevher
2011	J	`jnl`	Simple and Robust Binary Self-Location Patterns CoRR Alfred M. Bruckstein, Tuvi Etzion, Raja Giryes, Noam Gordon, Robert J. Holt, Doron Shuldiner
2010	J	`jnl`	Iterative signal recovery from incomplete samples: technical perspective. Commun. ACM Michael Elad, Raja Giryes
2010	J	`jnl`	The Projected GSURE for Automatic Parameter Tuning in Iterative Shrinkage Methods CoRR Raja Giryes, Michael Elad, Yonina C. Eldar