Giryes, Raja

39 publications

CVPRW 2025 Comparison Visual Instruction Tuning Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogério Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky

ICLR 2025 DeciMamba: Exploring the Length Extrapolation Potential of Mamba Assaf Ben-Kish, Itamar Zimerman, Shady Abu-Hussein, Nadav Cohen, 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, Muhammad Jehanzeb Mirza, Leshem Choshen, Mikhail Yurochkin, Yuekai Sun, Assaf Arbelle, Leonid Karlinsky, Raja Giryes

NeurIPS 2025 Revisiting Glorot Initialization for Long-Range Linear Recurrences Noga Bar, Mariia Seleznova, Yotam Alexander, Gitta Kutyniok, Raja Giryes

NeurIPS 2025 Smooth Regularization for Efficient Video Recognition Gil Goldman, Raja Giryes, Mahadev Satyanarayanan

ICCV 2025 Teaching VLMs to Localize Specific Objects from In-Context Examples Sivan Doveh, Nimrod Shabtay, Eli Schwartz, Hilde Kuehne, Raja Giryes, Rogerio Feris, Leonid Karlinsky, James Glass, Assaf Arbelle, Shimon Ullman, M. Jehanzeb Mirza

TMLR 2025 The Diffusion Process as a Correlation Machine: Linear Denoising Insights Dana Weitzner, Mauricio Delbracio, Peyman Milanfar, Raja Giryes

NeurIPSW 2024 Comparison Visual Instruction Tuning Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogerio Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky

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

ICML 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

WACV 2024 Membership Inference Attack Using Self Influence Functions Gilad Cohen, 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

WACV 2024 Simple Post-Training Robustness Using Test Time Augmentations and Random Forest Gilad Cohen, Raja Giryes

ECCV 2024 TriNeRFLet: A Wavelet Based Triplane NeRF Representation Rajaei Khatib, Raja Giryes

NeurIPS 2024 UDPM: Upsampling Diffusion Probabilistic Models Shady Abu-Hussein, Raja Giryes

MIDL 2024 Video Polyp Segmentation Using Implicit Networks Aviad Dahan, Tal Shaharabany, Raja Giryes, Lior Wolf

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

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

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

ICCVW 2023 Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes Dana Cohen-Bar, Elad Richardson, Gal Metzer, Raja Giryes, Daniel Cohen-Or

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

AISTATS 2022 A Spectral Perspective of DNN Robustness to Label Noise Oshrat Bar, Amnon Drory, Raja Giryes

ECCV 2022 FLEX: Extrinsic Parameters-Free Multi-View 3D Human Motion Reconstruction Brian Gordon, Sigal Raab, Guy Azov, Raja Giryes, Daniel Cohen-Or

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

CVPR 2022 Unsupervised Domain Generalization by Learning a Bridge Across Domains Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter Staar, Shady Abu-Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogerio S. Feris, Leonid Karlinsky

ICCV 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, Alex Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogerio Feris, Leonid Karlinsky

CVPR 2021 Fine-Grained Angular Contrastive Learning with Coarse Labels Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogerio Feris, Raja Giryes, Leonid Karlinsky

NeurIPS 2021 SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-hornung, Daniel Cohen-or

AAAI 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

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

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

WACV 2020 Supervised and Unsupervised Learning of Parameterized Color Enhancement Yoav Chai, Raja Giryes, Lior Wolf

ECCV 2020 TAFSSL: Task-Adaptive Feature Sub-Space Learning for Few-Shot Classification Moshe Lichtenstein, Prasanna Sattigeri, Rogerio Feris, Raja Giryes, Leonid Karlinsky

ICCVW 2019 Lautum Regularization for Semi-Supervised Transfer Learning Daniel Jakubovitz, Miguel R. D. Rodrigues, Raja Giryes

NeurIPS 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, Rogerio Feris, Raja Giryes, Alex Bronstein

ECCV 2018 Improving DNN Robustness to Adversarial Attacks Using Jacobian Regularization Daniel Jakubovitz, Raja Giryes

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

ICLR 2015 On the Stability of Deep Networks Raja Giryes, Guillermo Sapiro, Alexander M. Bronstein