Widespread Compensatory Evolution Conserves DNA-Encoded Nucleosome Organization in Yeast. - Ephraim Kenigsberg; Amir Bar; Eran Segal; Amos Tanay (PLoS Comput. Biol., 2010)

Compression fractures detection on CT. - Amir Bar; Lior Wolf; Orna Bergman Amitai; Eyal Toledano; Eldad Elnekave (Computer-Aided Diagnosis, 2017)

Language Generation with Recurrent Generative Adversarial Networks without Pre-training. - Ofir Press; Amir Bar; Ben Bogin; Jonathan Berant; Lior Wolf (CoRR, 2017)

Learning Individual Styles of Conversational Gesture. - Shiry Ginosar; Amir Bar; Gefen Kohavi; Caroline Chan; Andrew Owens; Jitendra Malik (CVPR, 2019)

Improved ICH Classification Using Task-Dependent Learning. - Amir Bar; Michal Mauda Havakuk; Yoni Turner; Michal Safadi; Eldad Elnekave (ISBI, 2019)

PHT-bot: a deep learning based system for automatic risk stratification of COPD patients based upon signs of pulmonary hypertension. - David Chettrit; Orna Bregman-Amitai; Itamar Tamir; Amir Bar; Eldad Elnekave (Computer-Aided Diagnosis, 2019)

Learning Canonical Representations for Scene Graph to Image Generation. - Roei Herzig; Amir Bar; Huijuan Xu 001; Gal Chechik; Trevor Darrell; Amir Globerson (ECCV (26), 2020)

3D Convolutional Sequence to Sequence Model for Vertebral Compression Fractures Identification in CT. - David Chettrit; Tomer Meir; Hila Lebel; Mila Orlovsky; Ronen Gordon; Ayelet Akselrod-Ballin; Amir Bar (MICCAI (6), 2020)

Learning Interclass Relations for Image Classification. - Raouf Muhamedrahimov; Amir Bar; Ayelet Akselrod-Ballin (CoRR, 2020)

Compositional Video Synthesis with Action Graphs. - Amir Bar; Roei Herzig; Xiaolong Wang 004; Gal Chechik; Trevor Darrell; Amir Globerson (CoRR, 2020)

Compositional Video Synthesis with Action Graphs. - Amir Bar; Roei Herzig; Xiaolong Wang 004; Anna Rohrbach; Gal Chechik; Trevor Darrell; Amir Globerson (ICML, 2021)

Learning Interclass Relations for Intravenous Contrast Phase Classification in CT. - Raouf Muhamedrahimov; Amir Bar; Ayelet Akselrod-Ballin (MIDL, 2021)

DETReg: Unsupervised Pretraining with Region Priors for Object Detection. - Amir Bar; Xin Wang 066; Vadim Kantorov; Colorado J. Reed; Roei Herzig; Gal Chechik; Anna Rohrbach; Trevor Darrell; Amir Globerson (CVPR, 2022)

Object-Region Video Transformers. - Roei Herzig; Elad Ben-Avraham; Karttikeya Mangalam; Amir Bar; Gal Chechik; Anna Rohrbach; Trevor Darrell; Amir Globerson (CVPR, 2022)

Visual Prompting via Image Inpainting. - Amir Bar; Yossi Gandelsman; Trevor Darrell; Amir Globerson; Alexei A. Efros (NeurIPS, 2022)

Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens. - Elad Ben-Avraham; Roei Herzig; Karttikeya Mangalam; Amir Bar; Anna Rohrbach; Leonid Karlinsky; Trevor Darrell; Amir Globerson (NeurIPS, 2022)

Using Machine Learning to Identify Intravenous Contrast Phases on Computed Tomography. - Raouf Muhamedrahimov; Amir Bar; Jonathan Laserson; Ayelet Akselrod-Ballin; Eldad Elnekave (Comput. Methods Programs Biomed., 2022)

Structured Video Tokens @ Ego4D PNR Temporal Localization Challenge 2022. - Elad Ben-Avraham; Roei Herzig; Karttikeya Mangalam; Amir Bar; Anna Rohrbach; Leonid Karlinsky; Trevor Darrell; Amir Globerson (CoRR, 2022)

A Cookbook of Self-Supervised Learning. - Randall Balestriero; Mark Ibrahim; Vlad Sobal; Ari Morcos; Shashank Shekhar; Tom Goldstein; Florian Bordes; Adrien Bardes; Grégoire Mialon; Yuandong Tian; Avi Schwarzschild; Andrew Gordon Wilson; et al. (CoRR, 2023)

Predicting masked tokens in stochastic locations improves masked image modeling. - Amir Bar; Florian Bordes; Assaf Shocher; Mahmoud Assran; Pascal Vincent; Nicolas Ballas; Trevor Darrell; Amir Globerson; Yann LeCun (CoRR, 2023)

Object-based (yet Class-agnostic) Video Domain Adaptation. - Dantong Niu; Amir Bar; Roei Herzig; Trevor Darrell; Anna Rohrbach (CoRR, 2023)

Sequential Modeling Enables Scalable Learning for Large Vision Models. - Yutong Bai; Xinyang Geng; Karttikeya Mangalam; Amir Bar; Alan L. Yuille; Trevor Darrell; Jitendra Malik; Alexei A. Efros (CVPR, 2024)

EgoPet: Egomotion and Interaction Data from an Animal's Perspective. - Amir Bar; Arya Bakhtiar; Danny Tran; Antonio Loquercio; Jathushan Rajasegaran; Yann LeCun; Amir Globerson; Trevor Darrell (ECCV (37), 2024)

Finding Visual Task Vectors. - Alberto Hojel; Yutong Bai; Trevor Darrell; Amir Globerson; Amir Bar (ECCV (43), 2024)

Stochastic positional embeddings improve masked image modeling. - Amir Bar; Florian Bordes; Assaf Shocher; Mido Assran; Pascal Vincent; Nicolas Ballas; Trevor Darrell; Amir Globerson; Yann LeCun (ICML, 2024)

Task Vectors are Cross-Modal. - Grace Luo; Trevor Darrell; Amir Bar (CoRR, 2024)

IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks. - Jiarui Xu; Yossi Gandelsman; Amir Bar; Jianwei Yang; Jianfeng Gao 001; Trevor Darrell; Xiaolong Wang 004 (Trans. Mach. Learn. Res., 2024)

Forgotten Polygons: Multimodal Large Language Models are Shape-Blind. - William Rudman; Michal Golovanevsky; Amir Bar; Vedant Palit; Yann LeCun; Carsten Eickhoff; Ritambhara Singh (ACL (Findings), 2025)

Navigation World Models. - Amir Bar; Gaoyue Zhou; Danny Tran; Trevor Darrell; Yann LeCun (CVPR, 2025)

Forgotten Polygons: Multimodal Large Language Models are Shape-Blind. - William Rudman; Michal Golovanesky; Amir Bar; Vedant Palit; Yann LeCun; Carsten Eickhoff; Ritambhara Singh (CoRR, 2025)

Scaling Language-Free Visual Representation Learning. - David Fan; Shengbang Tong; Jiachen Zhu 002; Koustuv Sinha; Zhuang Liu 003; Xinlei Chen; Michael Rabbat; Nicolas Ballas; Yann LeCun; Amir Bar; Saining Xie (CoRR, 2025)

Pixels Versus Priors: Controlling Knowledge Priors in Vision-Language Models through Visual Counterfacts. - Michal Golovanevsky; William Rudman; Michael Lepori; Amir Bar; Ritambhara Singh; Carsten Eickhoff (CoRR, 2025)

Whole-Body Conditioned Egocentric Video Prediction. - Yutong Bai; Danny Tran; Amir Bar; Yann LeCun; Trevor Darrell; Jitendra Malik (CoRR, 2025)