Gal Chechik

260 papers A* 63A 10B 1Misc 4Journal 145Unranked 37
YearRankTypeTitle / Venue / Authors
2026 A* conf
Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions.
AAAI
Guy Bar-Shalom, Fabrizio Frasca, Derek Lim, Yoav Gelberg, Yftah Ziser, Ran El-Yaniv, Gal Chechik, Haggai Maron
2026 J jnl
Fast Autoregressive Video Diffusion and World Models with Temporal Cache Compression and Sparse Attention.
CoRR
Dvir Samuel, Issar Tzachor, Matan Levy, Micahel Green, Gal Chechik, Rami Ben-Ari
2026 J jnl
LR-DWM: Efficient Watermarking for Diffusion Language Models.
CoRR
Ofek Raban, Ethan Fetaya, Gal Chechik
2026 J jnl
Latent Transfer Attack: Adversarial Examples via Generative Latent Spaces.
CoRR
Eitan Shaar, Ariel Shaulov, Yalcin Tur, Gal Chechik, Ravid Shwartz-Ziv
2026 J jnl
More Test-Time Compute Can Hurt: Overestimation Bias in LLM Beam Search.
CoRR
Gal Dalal, Assaf Hallak, Gal Chechik, Yftah Ziser
2026 J jnl
Spanning the Visual Analogy Space with a Weight Basis of LoRAs.
CoRR
Hila Manor, Rinon Gal, Haggai Maron, Tomer Michaeli, Gal Chechik
2025 J jnl
AblationBench: Evaluating Automated Planning of Ablations in Empirical AI Research.
CoRR
Talor Abramovich, Gal Chechik
2025 J jnl
Accelerating Vehicle Routing via AI-Initialized Genetic Algorithms.
CoRR
Ido Greenberg, Piotr Sielski, Hugo Linsenmaier, Rajesh Gandham, Shie Mannor, Alexandre Fender, Gal Chechik, Eli A. Meirom
2025 A* conf
Adapting to the Unknown: Training-Free Audio-Visual Event Perception with Dynamic Thresholds.
CVPR
Eitan Shaar, Ariel Shaulov, Gal Chechik, Lior Wolf
2025 J jnl
Adapting to the Unknown: Training-Free Audio-Visual Event Perception with Dynamic Thresholds.
CoRR
Eitan Shaar, Ariel Shaulov, Gal Chechik, Lior Wolf
2025 A* conf
Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models.
ICLR
Yoad Tewel, Rinon Gal, Dvir Samuel, Yuval Atzmon, Lior Wolf, Gal Chechik
2025 Misc conf
Classifier-Guided Captioning Across Modalities.
ICASSP
Ariel Shaulov, Tal Shaharabany, Eitan Shaar, Gal Chechik, Lior Wolf
2025 J jnl
Classifier-Guided Captioning Across Modalities.
CoRR
Ariel Shaulov, Tal Shaharabany, Eitan Shaar, Gal Chechik, Lior Wolf
2025 J jnl
Data-Driven Loss Functions for Inference-Time Optimization in Text-to-Image Generation.
CoRR
Sapir Esther Yiflach, Yuval Atzmon, Gal Chechik
2025 J jnl
Efficient GNN Training Through Structure-Aware Randomized Mini-Batching.
CoRR
Vignesh Balaji, Christos Kozyrakis, Gal Chechik, Haggai Maron
2025 J jnl
Emergent Active Perception and Dexterity of Simulated Humanoids from Visual Reinforcement Learning.
CoRR
Zhengyi Luo, Chen Tessler, Toru Lin, Ye Yuan, Tairan He, Wenli Xiao, Yunrong Guo, Gal Chechik, Kris Kitani, Linxi Fan, Yuke Zhu
2025 J jnl
Expert Merging in Sparse Mixture of Experts with Nash Bargaining.
CoRR
Dung V. Nguyen, Anh T. Nguyen, Minh H. Nguyen, Luc Q. Nguyen, Shiqi Jiang, Ethan Fetaya, Linh Duy Tran, Gal Chechik, Tan M. Nguyen
2025 J jnl
Go Beyond Your Means: Unlearning with Per-Sample Gradient Orthogonalization.
CoRR
Aviv Shamsian, Eitan Shaar, Aviv Navon, Gal Chechik, Ethan Fetaya
2025 A* conf
IT3: Idempotent Test-Time Training.
ICML
Nikita Durasov, Assaf Shocher, Doruk Öner, Gal Chechik, Alexei A. Efros, Pascal Fua
2025 — conf
Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion.
ACL (Findings)
Anum Afzal, Florian Matthes, Gal Chechik, Yftah Ziser
2025 J jnl
Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion.
CoRR
Anum Afzal, Florian Matthes, Gal Chechik, Yftah Ziser
2025 J jnl
Learning on LLM Output Signatures for gray-box LLM Behavior Analysis.
CoRR
Guy Bar-Shalom, Fabrizio Frasca, Derek Lim, Yoav Gelberg, Yftah Ziser, Ran El-Yaniv, Gal Chechik, Haggai Maron
2025 A* conf
Lightning-Fast Image Inversion and Editing for Text-to-Image Diffusion Models.
ICLR
Dvir Samuel, Barak Meiri, Haggai Maron, Yoad Tewel, Nir Darshan, Shai Avidan, Gal Chechik, Rami Ben-Ari
2025 A* conf
Make It Count: Text-to-Image Generation with an Accurate Number of Objects.
CVPR
Lital Binyamin, Yoad Tewel, Hilit Segev, Eran Hirsch, Royi Rassin, Gal Chechik
2025 A* conf
MaskedManipulator: Versatile Whole-Body Control for Loco-Manipulation.
SIGGRAPH Asia
Chen Tessler, Yifeng Jiang, Erwin Coumans, Zhengyi Luo, Xue Bin Peng, Gal Chechik
2025 J jnl
MaskedManipulator: Versatile Whole-Body Control for Loco-Manipulation.
CoRR
Chen Tessler, Yifeng Jiang, Erwin Coumans, Zhengyi Luo, Gal Chechik, Xue Bin Peng
2025 A* conf
OmnimatteZero: Fast Training-free Omnimatte with Pre-trained Video Diffusion Models.
SIGGRAPH Asia
Dvir Samuel, Matan Levy, Nir Darshan, Gal Chechik, Rami Ben-Ari
2025 J jnl
OmnimatteZero: Training-free Real-time Omnimatte with Pre-trained Video Diffusion Models.
CoRR
Dvir Samuel, Matan Levy, Nir Darshan, Gal Chechik, Rami Ben-Ari
2025 — conf
Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models.
NAACL (Long Papers)
Michael Toker, Ido Galil, Hadas Orgad, Rinon Gal, Yoad Tewel, Gal Chechik, Yonatan Belinkov
2025 J jnl
Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models.
CoRR
Michael Toker, Ido Galil, Hadas Orgad, Rinon Gal, Yoad Tewel, Gal Chechik, Yonatan Belinkov
2025 J jnl
Per-Query Visual Concept Learning.
CoRR
Ori Malca, Dvir Samuel, Gal Chechik
2025 A* conf
Policy Gradient with Tree Expansion.
ICML
Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik
2025 J jnl
Policy Optimized Text-to-Image Pipeline Design.
CoRR
Uri Gadot, Rinon Gal, Yftah Ziser, Gal Chechik, Shie Mannor
2025 A* conf
RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression.
CVPR
Uri Gadot, Assaf Shocher, Shie Mannor, Gal Chechik, Assaf Hallak
2025 J jnl
RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression.
CoRR
Uri Gadot, Assaf Shocher, Shie Mannor, Gal Chechik, Assaf Hallak
2025 J jnl
Single Image Iterative Subject-driven Generation and Editing.
CoRR
Yair Shpitzer, Gal Chechik, Idan Schwartz
2025 A* conf
TriTex: Learning Texture from a Single Mesh via Triplane Semantic Features.
CVPR
Dana Cohen-Bar, Daniel Cohen-Or, Gal Chechik, Yoni Kasten
2025 J jnl
TriTex: Learning Texture from a Single Mesh via Triplane Semantic Features.
CoRR
Dana Cohen-Bar, Daniel Cohen-Or, Gal Chechik, Yoni Kasten
2024 J jnl
Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models.
CoRR
Yoad Tewel, Rinon Gal, Dvir Samuel, Yuval Atzmon, Lior Wolf, Gal Chechik
2024 J jnl
Assessing Image Quality Using a Simple Generative Representation.
CoRR
Simon Raviv, Gal Chechik
2024 A* conf
Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning.
ICML
Idan Achituve, Idit Diamant, Arnon Netzer, Gal Chechik, Ethan Fetaya
2024 J jnl
Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning.
CoRR
Idan Achituve, Idit Diamant, Arnon Netzer, Gal Chechik, Ethan Fetaya
2024 A* conf
Breathing Life Into Sketches Using Text-to-Video Priors.
CVPR
Rinon Gal, Yael Vinker, Yuval Alaluf, Amit Bermano, Daniel Cohen-Or, Ariel Shamir, Gal Chechik
2024 J jnl
Bringing Objects to Life: 4D generation from 3D objects.
CoRR
Ohad Rahamim, Ori Malca, Dvir Samuel, Gal Chechik
2024 J jnl
ComfyGen: Prompt-Adaptive Workflows for Text-to-Image Generation.
CoRR
Rinon Gal, Adi Haviv, Yuval Alaluf, Amit H. Bermano, Daniel Cohen-Or, Gal Chechik
2024 A* conf
DiffUHaul: A Training-Free Method for Object Dragging in Images.
SIGGRAPH Asia
Omri Avrahami, Rinon Gal, Gal Chechik, Ohad Fried, Dani Lischinski, Arash Vahdat, Weili Nie
2024 J jnl
DiffUHaul: A Training-Free Method for Object Dragging in Images.
CoRR
Omri Avrahami, Rinon Gal, Gal Chechik, Ohad Fried, Dani Lischinski, Arash Vahdat, Weili Nie
2024 A* conf
Equivariant Deep Weight Space Alignment.
ICML
Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik, Nadav Dym, Haggai Maron
2024 J jnl
From Glucose Patterns to Health Outcomes: A Generalizable Foundation Model for Continuous Glucose Monitor Data Analysis.
CoRR
Guy Lutsker, Gal Sapir, Anastasia Godneva, Smadar Shilo, Jerry R. Greenfield, Dorit Samocha-Bonet, Shie Mannor, Eli Meirom, Gal Chechik, Hagai Rossman, Eran Segal
2024 A* conf
Generating Images of Rare Concepts Using Pre-trained Diffusion Models.
AAAI
Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, Gal Chechik
2024 J jnl
IT
CoRR
Nikita Durasov, Assaf Shocher, Doruk Öner, Gal Chechik, Alexei A. Efros, Pascal Fua
2024 A* conf
Improved Generalization of Weight Space Networks via Augmentations.
ICML
Aviv Shamsian, Aviv Navon, David W. Zhang, Yan Zhang, Ethan Fetaya, Gal Chechik, Haggai Maron
2024 J jnl
Improved Generalization of Weight Space Networks via Augmentations.
CoRR
Aviv Shamsian, Aviv Navon, David W. Zhang, Yan Zhang, Ethan Fetaya, Gal Chechik, Haggai Maron
2024 J jnl
Iteration-Free quantum approximate optimization algorithm using neural networks.
Quantum Mach. Intell.
Ohad Amosy, Tamuz Danzig, Ohad Lev, Ely Porat, Gal Chechik, Adi Makmal
2024 — conf
LCM-Lookahead for Encoder-Based Text-to-Image Personalization.
ECCV (14)
Rinon Gal, Or Lichter, Elad Richardson, Or Patashnik, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or
2024 J jnl
LCM-Lookahead for Encoder-based Text-to-Image Personalization.
CoRR
Rinon Gal, Or Lichter, Elad Richardson, Or Patashnik, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or
2024 A conf
Late to the party? On-demand unlabeled personalized federated learning.
WACV
Ohad Amosy, Gal Eyal, Gal Chechik
2024 J jnl
Lay-A-Scene: Personalized 3D Object Arrangement Using Text-to-Image Priors.
CoRR
Ohad Rahamim, Hilit Segev, Idan Achituve, Yuval Atzmon, Yoni Kasten, Gal Chechik
2024 J jnl
Make It Count: Text-to-Image Generation with an Accurate Number of Objects.
CoRR
Lital Binyamin, Yoad Tewel, Hilit Segev, Eran Hirsch, Royi Rassin, Gal Chechik
2024 J jnl
MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting.
CoRR
Chen Tessler, Yunrong Guo, Ofir Nabati, Gal Chechik, Xue Bin Peng
2024 J jnl
MaskedMimic: Unified Physics-Based Character Control Through Masked Motion Inpainting.
ACM Trans. Graph.
Chen Tessler, Yunrong Guo, Ofir Nabati, Gal Chechik, Xue Bin Peng
2024 J jnl
Multi-Shot Character Consistency for Text-to-Video Generation.
CoRR
Yuval Atzmon, Rinon Gal, Yoad Tewel, Yoni Kasten, Gal Chechik
2024 — conf
PlaMo: Plan and Move in Rich 3D Physical Environments.
ECCV Workshops (2)
Assaf Hallak, Gal Dalal, Chen Tessler, Kelly Guo, Shie Mannor, Gal Chechik
2024 J jnl
PlaMo: Plan and Move in Rich 3D Physical Environments.
CoRR
Assaf Hallak, Gal Dalal, Chen Tessler, Kelly Guo, Shie Mannor, Gal Chechik
2024 — conf
Text2Model: Text-based Model Induction for Zero-shot Image Classification.
EMNLP (Findings)
Ohad Amosy, Tomer Volk, Eilam Shapira, Eyal Ben-David, Roi Reichart, Gal Chechik
2024 J jnl
Training-Free Consistent Text-to-Image Generation.
CoRR
Yoad Tewel, Omri Kaduri, Rinon Gal, Yoni Kasten, Lior Wolf, Gal Chechik, Yuval Atzmon
2024 J jnl
Training-Free Consistent Text-to-Image Generation.
ACM Trans. Graph.
Yoad Tewel, Omri Kaduri, Rinon Gal, Yoni Kasten, Lior Wolf, Gal Chechik, Yuval Atzmon
2024 J jnl
Unveiling the Power of Diffusion Features For Personalized Segmentation and Retrieval.
CoRR
Dvir Samuel, Rami Ben-Ari, Matan Levy, Nir Darshan, Gal Chechik
2024 A* conf
Where's Waldo: Diffusion Features For Personalized Segmentation and Retrieval.
NeurIPS
Dvir Samuel, Rami Ben-Ari, Matan Levy, Nir Darshan, Gal Chechik
2023 A* conf
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.
ICLR
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit Haim Bermano, Gal Chechik, Daniel Cohen-Or
2023 A* conf
Auxiliary Learning as an Asymmetric Bargaining Game.
ICML
Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
2023 J jnl
Auxiliary Learning as an Asymmetric Bargaining Game.
CoRR
Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
2023 J jnl
Breathing Life Into Sketches Using Text-to-Video Priors.
CoRR
Rinon Gal, Yael Vinker, Yuval Alaluf, Amit H. Bermano, Daniel Cohen-Or, Ariel Shamir, Gal Chechik
2023 — conf
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters.
SIGGRAPH (Conference Paper Track)
Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng
2023 J jnl
CALM: Conditional Adversarial Latent Models for Directable Virtual Characters.
CoRR
Chen Tessler, Yoni Kasten, Yunrong Guo, Shie Mannor, Gal Chechik, Xue Bin Peng
2023 J jnl
Data Augmentations in Deep Weight Spaces.
CoRR
Aviv Shamsian, David W. Zhang, Aviv Navon, Yan Zhang, Miltiadis Kofinas, Idan Achituve, Riccardo Valperga, Gertjan J. Burghouts, Efstratios Gavves, Cees G. M. Snoek, Ethan Fetaya, Gal Chechik, Haggai Maron
2023 J jnl
Designing an Encoder for Fast Personalization of Text-to-Image Models.
CoRR
Rinon Gal, Moab Arar, Yuval Atzmon, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or
2023 A conf
DisCLIP: Open-Vocabulary Referring Expression Generation.
BMVC
Lior Bracha, Eitan Shaar, Aviv Shamsian, Ethan Fetaya, Gal Chechik
2023 J jnl
DisCLIP: Open-Vocabulary Referring Expression Generation.
CoRR
Lior Bracha, Eitan Shaar, Aviv Shamsian, Ethan Fetaya, Gal Chechik
2023 A* conf
Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models.
SIGGRAPH Asia
Moab Arar, Rinon Gal, Yuval Atzmon, Gal Chechik, Daniel Cohen-Or, Ariel Shamir, Amit H. Bermano
2023 J jnl
Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models.
CoRR
Moab Arar, Rinon Gal, Yuval Atzmon, Gal Chechik, Daniel Cohen-Or, Ariel Shamir, Amit H. Bermano
2023 J jnl
Encoder-based Domain Tuning for Fast Personalization of Text-to-Image Models.
ACM Trans. Graph.
Rinon Gal, Moab Arar, Yuval Atzmon, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or
2023 A* conf
Equivariant Architectures for Learning in Deep Weight Spaces.
ICML
Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron
2023 J jnl
Equivariant Architectures for Learning in Deep Weight Spaces.
CoRR
Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron
2023 J jnl
Equivariant Deep Weight Space Alignment.
CoRR
Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik, Nadav Dym, Haggai Maron
2023 — conf
Example-based Hypernetworks for Multi-source Adaptation to Unseen Domains.
EMNLP (Findings)
Tomer Volk, Eyal Ben-David, Ohad Amosy, Gal Chechik, Roi Reichart
2023 J jnl
Fixed-point Inversion for Text-to-image diffusion models.
CoRR
Barak Meiri, Dvir Samuel, Nir Darshan, Gal Chechik, Shai Avidan, Rami Ben-Ari
2023 A* conf
Graph Positional Encoding via Random Feature Propagation.
ICML
Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron
2023 J jnl
Graph Positional Encoding via Random Feature Propagation.
CoRR
Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron
2023 A conf
Guided Deep Kernel Learning.
UAI
Idan Achituve, Gal Chechik, Ethan Fetaya
2023 J jnl
Guided Deep Kernel Learning.
CoRR
Idan Achituve, Gal Chechik, Ethan Fetaya
2023 B conf
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs.
CCGrid
Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal
2023 J jnl
It is all about where you start: Text-to-image generation with seed selection.
CoRR
Dvir Samuel, Rami Ben-Ari, Simon Raviv, Nir Darshan, Gal Chechik
2023 — conf
Key-Locked Rank One Editing for Text-to-Image Personalization.
SIGGRAPH (Conference Paper Track)
Yoad Tewel, Rinon Gal, Gal Chechik, Yuval Atzmon
2023 J jnl
Key-Locked Rank One Editing for Text-to-Image Personalization.
CoRR
Yoad Tewel, Rinon Gal, Gal Chechik, Yuval Atzmon
2023 A* conf
Learning to Initiate and Reason in Event-Driven Cascading Processes.
ICML
Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik
2023 A* conf
Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment.
NeurIPS
Royi Rassin, Eran Hirsch, Daniel Glickman, Shauli Ravfogel, Yoav Goldberg, Gal Chechik
2023 J jnl
Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment.
CoRR
Royi Rassin, Eran Hirsch, Daniel Glickman, Shauli Ravfogel, Yoav Goldberg, Gal Chechik
2023 A* conf
Norm-guided latent space exploration for text-to-image generation.
NeurIPS
Dvir Samuel, Rami Ben-Ari, Nir Darshan, Haggai Maron, Gal Chechik
2023 J jnl
Norm-guided latent space exploration for text-to-image generation.
CoRR
Dvir Samuel, Rami Ben-Ari, Nir Darshan, Haggai Maron, Gal Chechik
2023 — conf
Personalized Federated Learning for Medical Segmentation using Hypernetworks.
Tiny Papers @ ICLR
Hilit Segev, Gal Chechik
2023 A* conf
Planning and Learning with Adaptive Lookahead.
AAAI
Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal
2023 A* conf
Point Cloud Completion with Pretrained Text-to-Image Diffusion Models.
NeurIPS
Yoni Kasten, Ohad Rahamim, Gal Chechik
2023 J jnl
Point-Cloud Completion with Pretrained Text-to-image Diffusion Models.
CoRR
Yoni Kasten, Ohad Rahamim, Gal Chechik
2023 J jnl
SoftTreeMax: Exponential Variance Reduction in Policy Gradient via Tree Search.
CoRR
Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik
2023 A* conf
Train Hard, Fight Easy: Robust Meta Reinforcement Learning.
NeurIPS
Ido Greenberg, Shie Mannor, Gal Chechik, Eli A. Meirom
2023 J jnl
Train Hard, Fight Easy: Robust Meta Reinforcement Learning.
CoRR
Ido Greenberg, Shie Mannor, Gal Chechik, Eli A. Meirom
2022 — conf
"This Is My Unicorn, Fluffy": Personalizing Frozen Vision-Language Representations.
ECCV (20)
Niv Cohen, Rinon Gal, Eli A. Meirom, Gal Chechik, Yuval Atzmon
2022 J jnl
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations.
CoRR
Niv Cohen, Rinon Gal, Eli A. Meirom, Gal Chechik, Yuval Atzmon
2022 J jnl
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.
CoRR
Rinon Gal, Yuval Alaluf, Yuval Atzmon, Or Patashnik, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or
2022 A conf
Coupled Training for Multi-Source Domain Adaptation.
WACV
Ohad Amosy, Gal Chechik
2022 A* conf
DETReg: Unsupervised Pretraining with Region Priors for Object Detection.
CVPR
Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
2022 J jnl
Example-based Hypernetworks for Out-of-Distribution Generalization.
CoRR
Tomer Volk, Eyal Ben-David, Ohad Amosy, Gal Chechik, Roi Reichart
2022 J jnl
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks.
CoRR
Or Litany, Haggai Maron, David Acuna, Jan Kautz, Gal Chechik, Sanja Fidler
2022 J jnl
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs.
CoRR
Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal
2022 J jnl
Learning to reason about and to act on physical cascading events.
CoRR
Yuval Atzmon, Eli A. Meirom, Shie Mannor, Gal Chechik
2022 A* conf
Multi-Task Learning as a Bargaining Game.
ICML
Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
2022 J jnl
Multi-Task Learning as a Bargaining Game.
CoRR
Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya
2022 A* conf
Object-Region Video Transformers.
CVPR
Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam, Amir Bar, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
2022 A* conf
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning.
ICLR
Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit
2022 A* conf
Optimizing Tensor Network Contraction Using Reinforcement Learning.
ICML
Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
2022 J jnl
Optimizing Tensor Network Contraction Using Reinforcement Learning.
CoRR
Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
2022 J jnl
Planning and Learning with Adaptive Lookahead.
CoRR
Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal
2022 A* conf
Reinforcement Learning for Datacenter Congestion Control.
AAAI
Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
2022 J jnl
Reinforcement Learning for Datacenter Congestion Control.
SIGMETRICS Perform. Evaluation Rev.
Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
2022 A* conf
Reinforcement Learning with a Terminator.
NeurIPS
Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal
2022 J jnl
Reinforcement Learning with a Terminator.
CoRR
Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal
2022 J jnl
SoftTreeMax: Policy Gradient with Tree Search.
CoRR
Gal Dalal, Assaf Hallak, Shie Mannor, Gal Chechik
2022 J jnl
StyleGAN-NADA: CLIP-guided domain adaptation of image generators.
ACM Trans. Graph.
Rinon Gal, Or Patashnik, Haggai Maron, Amit H. Bermano, Gal Chechik, Daniel Cohen-Or
2022 J jnl
Text2Model: Model Induction for Zero-shot Generalization Using Task Descriptions.
CoRR
Ohad Amosy, Tomer Volk, Eyal Ben-David, Roi Reichart, Gal Chechik
2021 A* conf
ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning.
ICCV
Sangho Lee, Jiwan Chung, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Gal Chechik, Yale Song
2021 J jnl
Automatic Curation of Large-Scale Datasets for Audio-Visual Representation Learning.
CoRR
Sangho Lee, Jiwan Chung, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Gal Chechik, Yale Song
2021 A* conf
Auxiliary Learning by Implicit Differentiation.
ICLR
Aviv Navon, Idan Achituve, Haggai Maron, Gal Chechik, Ethan Fetaya
2021 A* conf
Compositional Video Synthesis with Action Graphs.
ICML
Amir Bar, Roei Herzig, Xiaolong Wang, Anna Rohrbach, Gal Chechik, Trevor Darrell, Amir Globerson
2021 A* conf
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks.
ICML
Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
2021 J jnl
DETReg: Unsupervised Pretraining with Region Priors for Object Detection.
CoRR
Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
2021 — conf
Deep Ranking-Based DOA Tracking Algorithm.
EUSIPCO
Renana Opochinsky, Gal Chechik, Sharon Gannot
2021 A* conf
Distributional Robustness Loss for Long-tail Learning.
ICCV
Dvir Samuel, Gal Chechik
2021 J jnl
Distributional Robustness Loss for Long-tail Learning.
CoRR
Dvir Samuel, Gal Chechik
2021 A* conf
From Local Structures to Size Generalization in Graph Neural Networks.
ICML
Gilad Yehudai, Ethan Fetaya, Eli A. Meirom, Gal Chechik, Haggai Maron
2021 A conf
From generalized zero-shot learning to long-tail with class descriptors.
WACV
Dvir Samuel, Yuval Atzmon, Gal Chechik
2021 A* conf
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning.
ICML
Idan Achituve, Aviv Navon, Yochai Yemini, Gal Chechik, Ethan Fetaya
2021 J jnl
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning.
CoRR
Idan Achituve, Aviv Navon, Yochai Yemini, Gal Chechik, Ethan Fetaya
2021 A* conf
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction.
NeurIPS
Gal Dalal, Assaf Hallak, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik
2021 J jnl
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction.
CoRR
Assaf Hallak, Gal Dalal, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik
2021 J jnl
Inference-Time Personalized Federated Learning.
CoRR
Ohad Amosy, Gal Eyal, Gal Chechik
2021 A conf
Known unknowns: Learning novel concepts using reasoning-by-elimination.
UAI
Harsh Agrawal, Eli A. Meirom, Yuval Atzmon, Shie Mannor, Gal Chechik
2021 A* conf
Learning the Pareto Front with Hypernetworks.
ICLR
Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik
2021 J jnl
Object-Region Video Transformers.
CoRR
Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam, Amir Bar, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson
2021 J jnl
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning.
CoRR
Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit
2021 A* conf
On Learning Sets of Symmetric Elements (Extended Abstract).
IJCAI
Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya
2021 A* conf
Personalized Federated Learning With Gaussian Processes.
NeurIPS
Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, Ethan Fetaya
2021 A* conf
Personalized Federated Learning using Hypernetworks.
ICML
Aviv Shamsian, Aviv Navon, Ethan Fetaya, Gal Chechik
2021 J jnl
Personalized Federated Learning using Hypernetworks.
CoRR
Aviv Shamsian, Aviv Navon, Ethan Fetaya, Gal Chechik
2021 J jnl
Personalized Federated Learning with Gaussian Processes.
CoRR
Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, Ethan Fetaya
2021 J jnl
Reinforcement Learning for Datacenter Congestion Control.
CoRR
Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
2021 A conf
Self-Supervised Learning for Domain Adaptation on Point Clouds.
WACV
Idan Achituve, Haggai Maron, Gal Chechik
2021 J jnl
StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators.
CoRR
Rinon Gal, Or Patashnik, Haggai Maron, Gal Chechik, Daniel Cohen-Or
2020 A* conf
A causal view of compositional zero-shot recognition.
NeurIPS
Yuval Atzmon, Felix Kreuk, Uri Shalit, Gal Chechik
2020 J jnl
A causal view of compositional zero-shot recognition.
CoRR
Yuval Atzmon, Felix Kreuk, Uri Shalit, Gal Chechik
2020 J jnl
Auxiliary Learning by Implicit Differentiation.
CoRR
Aviv Navon, Idan Achituve, Haggai Maron, Gal Chechik, Ethan Fetaya
2020 J jnl
Compositional Video Synthesis with Action Graphs.
CoRR
Amir Bar, Roei Herzig, Xiaolong Wang, Gal Chechik, Trevor Darrell, Amir Globerson
2020 — conf
Contrastive Learning for Weakly Supervised Phrase Grounding.
ECCV (3)
Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem
2020 J jnl
Contrastive Learning for Weakly Supervised Phrase Grounding.
CoRR
Tanmay Gupta, Arash Vahdat, Gal Chechik, Xiaodong Yang, Jan Kautz, Derek Hoiem
2020 A conf
Differentiable Scene Graphs.
WACV
Moshiko Raboh, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson
2020 J jnl
How to Stop Epidemics: Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks.
CoRR
Eli A. Meirom, Haggai Maron, Shie Mannor, Gal Chechik
2020 — conf
Learning Canonical Representations for Scene Graph to Image Generation.
ECCV (26)
Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson
2020 J jnl
Learning Object Detection from Captions via Textual Scene Attributes.
CoRR
Achiya Jerbi, Roei Herzig, Jonathan Berant, Gal Chechik, Amir Globerson
2020 — conf
Learning Object Permanence from Video.
ECCV (16)
Aviv Shamsian, Ofri Kleinfeld, Amir Globerson, Gal Chechik
2020 J jnl
Learning Object Permanence from Video.
CoRR
Aviv Shamsian, Ofri Kleinfeld, Amir Globerson, Gal Chechik
2020 J jnl
Learning the Pareto Front with Hypernetworks.
CoRR
Aviv Navon, Aviv Shamsian, Gal Chechik, Ethan Fetaya
2020 J jnl
Long-tail learning with attributes.
CoRR
Dvir Samuel, Yuval Atzmon, Gal Chechik
2020 A* conf
On Learning Sets of Symmetric Elements.
ICML
Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya
2020 J jnl
On Learning Sets of Symmetric Elements.
CoRR
Haggai Maron, Or Litany, Gal Chechik, Ethan Fetaya
2020 J jnl
On Size Generalization in Graph Neural Networks.
CoRR
Gilad Yehudai, Ethan Fetaya, Eli A. Meirom, Gal Chechik, Haggai Maron
2020 J jnl
Self-Supervised Learning for Domain Adaptation on Point-Clouds.
CoRR
Idan Achituve, Haggai Maron, Gal Chechik
2020 J jnl
Teacher-Student Consistency For Multi-Source Domain Adaptation.
CoRR
Ohad Amosy, Gal Chechik
2020 — conf
ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization.
EMNLP (Findings)
Tzuf Paz-Argaman, Reut Tsarfaty, Gal Chechik, Yuval Atzmon
2020 J jnl
ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization.
CoRR
Tzuf Paz-Argaman, Yuval Atzmon, Gal Chechik, Reut Tsarfaty
2019 — conf
A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation.
EMNLP/IJCNLP (1)
Hagai Taitelbaum, Gal Chechik, Jacob Goldberger
2019 A* conf
Adaptive Confidence Smoothing for Generalized Zero-Shot Learning.
CVPR
Yuval Atzmon, Gal Chechik
2019 J jnl
Cooperative image captioning.
CoRR
Gilad Vered, Gal Oren, Yuval Atzmon, Gal Chechik
2019 — conf
Deep Ranking-Based Sound Source Localization.
WASPAA
Renana Opochinsky, Bracha Laufer-Goldshtein, Sharon Gannot, Gal Chechik
2019 J jnl
Few-Shot Learning with Per-Sample Rich Supervision.
CoRR
Roman Visotsky, Yuval Atzmon, Gal Chechik
2019 A* conf
Informative Object Annotations: Tell Me Something I Don't Know.
CVPR
Lior Bracha, Gal Chechik
2019 A* conf
Joint Optimization for Cooperative Image Captioning.
ICCV
Gilad Vered, Gal Oren, Yuval Atzmon, Gal Chechik
2019 J jnl
Learning Canonical Representations for Scene Graph to Image Generation.
CoRR
Roei Herzig, Amir Bar, Huijuan Xu, Gal Chechik, Trevor Darrell, Amir Globerson
2019 J jnl
Learning Latent Scene-Graph Representations for Referring Relationships.
CoRR
Moshiko Raboh, Roei Herzig, Gal Chechik, Jonathan Berant, Amir Globerson
2019 — conf
Learning with Per-Sample Side Information.
AGI
Roman Visotsky, Yuval Atzmon, Gal Chechik
2019 — conf
Multilingual word translation using auxiliary languages.
EMNLP/IJCNLP (1)
Hagai Taitelbaum, Gal Chechik, Jacob Goldberger
2019 Misc conf
Network Adaptation Strategies for Learning New Classes without Forgetting the Original Ones.
ICASSP
Hagai Taitelbaum, Gal Chechik, Jacob Goldberger
2018 J jnl
Domain-Aware Generalized Zero-Shot Learning.
CoRR
Yuval Atzmon, Gal Chechik
2018 J jnl
Informative Object Annotations: Tell Me Something I Don't Know.
CoRR
Lior Bracha, Gal Chechik
2018 A* conf
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction.
NeurIPS
Roei Herzig, Moshiko Raboh, Gal Chechik, Jonathan Berant, Amir Globerson
2018 J jnl
Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction.
CoRR
Roei Herzig, Moshiko Raboh, Gal Chechik, Jonathan Berant, Amir Globerson
2018 J jnl
Metric Learning for Phoneme Perception.
CoRR
Yair Lakretz, Gal Chechik, Evan-Gary Cohen, Alessandro Treves, Naama Friedmann
2018 A conf
Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning.
UAI
Yuval Atzmon, Gal Chechik
2018 J jnl
Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning.
CoRR
Yuval Atzmon, Gal Chechik
2017 A* conf
Context-Aware Captions from Context-Agnostic Supervision.
CVPR
Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik
2017 J jnl
Context-aware Captions from Context-agnostic Supervision.
CoRR
Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik
2017 — conf
DeepBrain: Functional Representation of Neural In-Situ Hybridization Images for Gene Ontology Classification Using Deep Convolutional Autoencoders.
ICANN (2)
Ido Cohen, Eli (Omid) David, Nathan S. Netanyahu, Noa Liscovitch, Gal Chechik
2017 J jnl
DeepBrain: Functional Representation of Neural In-Situ Hybridization Images for Gene Ontology Classification Using Deep Convolutional Autoencoders.
CoRR
Ido Cohen, Eli David, Nathan S. Netanyahu, Noa Liscovitch, Gal Chechik
2017 J jnl
Group online adaptive learning.
Mach. Learn.
Alon Zweig, Gal Chechik
2017 A* conf
Instance-Level Label Propagation with Multi-Instance Learning.
IJCAI
Qifan Wang, Gal Chechik, Chen Sun, Bin Shen
2017 J jnl
Learning From Noisy Large-Scale Datasets With Minimal Supervision.
CoRR
Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, Serge J. Belongie
2017 A* conf
Learning from Noisy Large-Scale Datasets with Minimal Supervision.
CVPR
Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, Serge J. Belongie
2016 J jnl
Learning to generalize to new compositions in image understanding.
CoRR
Yuval Atzmon, Jonathan Berant, Vahid Kezami, Amir Globerson, Gal Chechik
2016 J jnl
On Expression Patterns and Developmental Origin of Human Brain Regions.
PLoS Comput. Biol.
Lior Kirsch, Gal Chechik
2015 J jnl
Gene Expression Switching of Receptor Subunits in Human Brain Development.
PLoS Comput. Biol.
Ossnat Bar-Shira, Ronnie Maor, Gal Chechik
2015 — conf
Gradual Training Method for Denoising Auto Encoders.
ICLR (Workshop)
Alexander Kalmanovich, Gal Chechik
2015 — conf
Learning Sparse Metrics, One Feature at a Time.
FE@NIPS
Yuval Atzmon, Uri Shalit, Gal Chechik
2015 A* conf
Probabilistic Graphical Models of Dyslexia.
KDD
Yair Lakretz, Gal Chechik, Naama Friedmann, Michal Rosen-Zvi
2014 A* conf
Coordinate-descent for learning orthogonal matrices through Givens rotations.
ICML
Uri Shalit, Gal Chechik
2014 J jnl
Gradual training of deep denoising auto encoders.
CoRR
Alexander Kalmanovich, Gal Chechik
2014 J jnl
Learning semantic representations of objects and their parts.
Mach. Learn.
Grégoire Mesnil, Antoine Bordes, Jason Weston, Gal Chechik, Yoshua Bengio
2013 J jnl
Efficient coordinate-descent for orthogonal matrices through Givens rotations.
CoRR
Uri Shalit, Gal Chechik
2013 J jnl
FuncISH: learning a functional representation of neural ISH images.
Bioinform.
Noa Liscovitch, Uri Shalit, Gal Chechik
2013 — conf
Modeling Musical Influence with Topic Models.
ICML (2)
Uri Shalit, Daphna Weinshall, Gal Chechik
2013 J jnl
Specialization of Gene Expression during Mouse Brain Development.
PLoS Comput. Biol.
Noa Liscovitch, Gal Chechik
2012 A* conf
Adaptive Regularization for Similarity Measures.
ICML
Koby Crammer, Gal Chechik
2012 J jnl
Adaptive Regularization for Weight Matrices
CoRR
Koby Crammer, Gal Chechik
2012 J jnl
Localizing Genes to Cerebellar Layers by Classifying ISH Images.
PLoS Comput. Biol.
Lior Kirsch, Noa Liscovitch, Gal Chechik
2012 J jnl
Online Learning in the Embedded Manifold of Low-rank Matrices.
J. Mach. Learn. Res.
Uri Shalit, Daphna Weinshall, Gal Chechik
2012 J jnl
Sufficient Dimensionality Reduction with Irrelevant Statistics
CoRR
Amir Globerson, Gal Chechik, Naftali Tishby
2011 Misc conf
Sparse coding of auditory features for machine hearing in interference.
ICASSP
Richard F. Lyon, Jay Ponte, Gal Chechik
2010 J jnl
Large Scale Online Learning of Image Similarity Through Ranking.
J. Mach. Learn. Res.
Gal Chechik, Varun Sharma, Uri Shalit, Samy Bengio
2010 A* conf
Object separation in x-ray image sets.
CVPR
Geremy Heitz, Gal Chechik
2010 — conf
Online Learning in The Manifold of Low-Rank Matrices.
NIPS
Uri Shalit, Daphna Weinshall, Gal Chechik
2010 J jnl
Sound Retrieval and Ranking Using Sparse Auditory Representations.
Neural Comput.
Richard F. Lyon, Martin Rehn, Samy Bengio, Thomas C. Walters, Gal Chechik
2009 — conf
An Online Algorithm for Large Scale Image Similarity Learning.
NIPS
Gal Chechik, Uri Shalit, Varun Sharma, Samy Bengio
2009 Misc conf
Large Scale Online Learning of Image Similarity through Ranking.
IbPRIA
Gal Chechik, Varun Sharma, Uri Shalit, Samy Bengio
2009 J jnl
Timing of Gene Expression Responses to Environmental Changes.
J. Comput. Biol.
Gal Chechik, Daphne Koller
2008 — conf
Large-scale content-based audio retrieval from text queries.
Multimedia Information Retrieval
Gal Chechik, Eugene Ie, Martin Rehn, Samy Bengio, Dick Lyon
2008 J jnl
Max-margin Classification of Data with Absent Features.
J. Mach. Learn. Res.
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller
2007 J jnl
Euclidean Embedding of Co-occurrence Data.
J. Mach. Learn. Res.
Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby
2007 J jnl
NIPS workshop on New Problems and Methods in Computational Biology.
BMC Bioinform.
Gal Chechik, Christina S. Leslie, William Stafford Noble, Gunnar Rätsch, Quaid Morris, Koji Tsuda
2006 J jnl
Discrete profile comparison using information bottleneck.
BMC Bioinform.
Sean O'Rourke, Gal Chechik, Robin Friedman, Eleazar Eskin
2006 A* conf
Embedding Heterogeneous Data Using Statistical Models.
AAAI
Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby
2006 — conf
Max-margin classification of incomplete data.
NIPS
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbeel, Daphne Koller
2006 — conf
Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks.
NIPS
Alexis J. Battle, Gal Chechik, Daphne Koller
2005 J jnl
Encoding Stimulus Information by Spike Numbers and Mean Response Time in Primary Auditory Cortex.
J. Comput. Neurosci.
Israel Nelken, Gal Chechik, Thomas D. Mrsic-Flogel, Andrew J. King, Jan W. H. Schnupp
2005 J jnl
Information Bottleneck for Gaussian Variables.
J. Mach. Learn. Res.
Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss
2004 A* conf
A needle in a haystack: local one-class optimization.
ICML
Koby Crammer, Gal Chechik
2004 — conf
Discrete profile alignment via constrained information bottleneck.
NIPS
Sean O'Rourke, Gal Chechik, Robin Friedman, Eleazar Eskin
2004 — conf
Euclidean Embedding of Co-Occurrence Data.
NIPS
Amir Globerson, Gal Chechik, Fernando C. N. Pereira, Naftali Tishby
2003 — conf
Are There Representations in Embodied Evolved Agents? Taking Measures.
ECAL
Hezi Avraham, Gal Chechik, Eytan Ruppin
2003 — conf
Information Bottleneck for Gaussian Variables.
NIPS
Gal Chechik, Amir Globerson, Naftali Tishby, Yair Weiss
2003 J jnl
Spike-Timing-Dependent Plasticity and Relevant Mutual Information Maximization.
Neural Comput.
Gal Chechik
2003 A conf
Sufficient Dimensionality Reduction with Irrelevance Statistics.
UAI
Amir Globerson, Gal Chechik, Naftali Tishby
2002 — conf
Extracting Relevant Structures with Side Information.
NIPS
Gal Chechik, Naftali Tishby
2001 J jnl
Effective Neuronal Learning with Ineffective Hebbian Learning Rules.
Neural Comput.
Gal Chechik, Isaac Meilijson, Eytan Ruppin
2001 — conf
Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway.
NIPS
Gal Chechik, Amir Globerson, Michael J. Anderson, Eric D. Young, Israel Nelken, Naftali Tishby
2001 J jnl
Spike timing dependent plasticity and mutual information in spiking neurons.
Neurocomputing
Gal Chechik
2000 J jnl
Neuronal normalization provides effective learning through ineffective synaptic learning rules.
Neurocomputing
Gal Chechik, Isaac Meilijson, Eytan Ruppin
2000 — conf
Temporally Dependent Plasticity: An Information Theoretic Account.
NIPS
Gal Chechik, Naftali Tishby
1999 — conf
Effective Learning Requires Neuronal Remodeling of Hebbian Synapses.
NIPS
Gal Chechik, Isaac Meilijson, Eytan Ruppin
1999 J jnl
Neuronal Regulation: A Mechanism for Synaptic Pruning During Brain Maturation.
Neural Comput.
Gal Chechik, Isaac Meilijson, Eytan Ruppin
1999 J jnl
Neuronal regulation: A biologically plausible mechanism for efficient synaptic pruning in development.
Neurocomputing
Gal Chechik, Isaac Meilijson, Eytan Ruppin
1998 — conf
Neuronal Regulation Implements Efficient Synaptic Pruning.
NIPS
Gal Chechik, Isaac Meilijson, Eytan Ruppin
1998 J jnl
Synaptic Pruning In Development: A Computational Account.
Neural Comput.
Gal Chechik, Isaac Meilijson, Eytan Ruppin