More from the Same Authors

• 2021 : Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning »
  Guy Tennenholtz · Assaf Hallak · Gal Dalal · Shie Mannor · Gal Chechik · Uri Shalit
• 2022 : Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs »
  Benjamin Fuhrer · Yuval Shpigelman · Chen Tessler · Shie Mannor · Gal Chechik · Eitan Zahavi · Gal Dalal
• 2022 : SoftTreeMax: Policy Gradient with Tree Search »
  Gal Dalal · Assaf Hallak · Shie Mannor · Gal Chechik
• 2023 Poster: Point Cloud Completion with Pretrained Text-to-Image Diffusion Models »
  Yoni Kasten · Ohad Rahamim · Gal Chechik
• 2023 Poster: Norm-guided latent space exploration for text-to-image generation »
  Dvir Samuel · Rami Ben-Ari · Nir Darshan · Haggai Maron · Gal Chechik
• 2023 Poster: Train Hard, Fight Easy: Robust Meta Reinforcement Learning »
  Ido Greenberg · Shie Mannor · Gal Chechik · Eli Meirom
• 2023 Poster: Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment »
  Royi Rassin · Eran Hirsch · Daniel Glickman · Shauli Ravfogel · Yoav Goldberg · Gal Chechik
• 2023 Oral: Linguistic Binding in Diffusion Models: Enhancing Attribute Correspondence through Attention Map Alignment »
  Royi Rassin · Eran Hirsch · Daniel Glickman · Shauli Ravfogel · Yoav Goldberg · Gal Chechik
• 2022 : Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs »
  Benjamin Fuhrer · Yuval Shpigelman · Chen Tessler · Shie Mannor · Gal Chechik · Eitan Zahavi · Gal Dalal
• 2022 Poster: Reinforcement Learning with a Terminator »
  Guy Tennenholtz · Nadav Merlis · Lior Shani · Shie Mannor · Uri Shalit · Gal Chechik · Assaf Hallak · Gal Dalal
• 2021 Poster: Personalized Federated Learning With Gaussian Processes »
  Idan Achituve · Aviv Shamsian · Aviv Navon · Gal Chechik · Ethan Fetaya
• 2021 Poster: Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction »
  Gal Dalal · Assaf Hallak · Steven Dalton · iuri frosio · Shie Mannor · Gal Chechik
• 2020 Poster: A causal view of compositional zero-shot recognition »
  Yuval Atzmon · Felix Kreuk · Uri Shalit · Gal Chechik
• 2020 Spotlight: A causal view of compositional zero-shot recognition »
  Yuval Atzmon · Felix Kreuk · Uri Shalit · Gal Chechik
• 2018 Poster: Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction »
  Roei Herzig · Moshiko Raboh · Gal Chechik · Jonathan Berant · Amir Globerson
• 2016 : ViCom: Benchmark and Methods for Video Comprehension »
  Du Tran · Maksim Bolonkin · Manohar Paluri · Lorenzo Torresani
• 2016 Workshop: Large Scale Computer Vision Systems »
  Manohar Paluri · Lorenzo Torresani · Gal Chechik · Dario Garcia · Du Tran
• 2014 Workshop: Analyzing the omics of the brain »
  Michael Hawrylycz · Gal Chechik · Mark Reimers
• 2010 Spotlight: Online Learning in The Manifold of Low-Rank Matrices »
  Uri Shalit · Daphna Weinshall · Gal Chechik
• 2010 Poster: Online Learning in The Manifold of Low-Rank Matrices »
  Uri Shalit · Daphna Weinshall · Gal Chechik
• 2009 Workshop: Machine Learning in Computational Biology »
  Gal Chechik · Tomer Hertz · William S Noble · Yanjun Qi · Jean-Philippe Vert · Alexander Zien
• 2009 Mini Symposium: Machine Learning in Computational Biology »
  Yanjun Qi · Jean-Philippe Vert · Gal Chechik · Alexander Zien · Tomer Hertz · William S Noble
• 2009 Poster: An Online Algorithm for Large Scale Image Similarity Learning »
  Gal Chechik · Uri Shalit · Varun Sharma · Samy Bengio
• 2008 Workshop: Machine Learning in Computational Biology »
  Gal Chechik · Christina Leslie · Quaid Morris · William S Noble · Gunnar Rätsch
• 2008 Mini Symposium: Machine Learning in Computational Biology »
  Gal Chechik · Christina Leslie · Quaid Morris · William S Noble · Gunnar Rätsch
• 2007 Workshop: Machine Learning in Computational Biology (Part 2) »
  Gal Chechik · Christina Leslie · Quaid Morris · William S Noble · Gunnar Rätsch · Koji Tsuda
• 2007 Workshop: Machine Learning in Computational Biology (Part 1) »
  Gal Chechik · Christina Leslie · Quaid Morris · William S Noble · Gunnar Rätsch · Koji Tsuda
• 2006 Workshop: New Problems and Methods in Computational Biology »
  Gal Chechik · Quaid Morris · Koji Tsuda · Gunnar Rätsch · Christina Leslie · William S Noble
• 2006 Poster: Max-margin classification of incomplete data »
  Gal Chechik · Geremy Heitz · Gal Elidan · Pieter Abbeel · Daphne Koller
• 2006 Poster: Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Task »
  Alexis Battle · Gal Chechik · Daphne Koller
• 2006 Spotlight: Max-margin classification of incomplete data »
  Gal Chechik · Geremy Heitz · Gal Elidan · Pieter Abbeel · Daphne Koller
• 2006 Talk: Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Task »
  Alexis Battle · Gal Chechik · Daphne Koller