Efficient computation of the Bergsma-Dassios sign covariance. - Luca Weihs; Mathias Drton; Dennis Leung (Comput. Stat., 2016)

Learning to Predict Citation-Based Impact Measures. - Luca Weihs; Oren Etzioni (JCDL, 2017)

Two Body Problem: Collaborative Visual Task Completion. - Unnat Jain; Luca Weihs; Eric Kolve; Mohammad Rastegari; Svetlana Lazebnik; Ali Farhadi; Alexander G. Schwing; Aniruddha Kembhavi (CVPR, 2019)

Artificial Agents Learn Flexible Visual Representations by Playing a Hiding Game. - Luca Weihs; Aniruddha Kembhavi; Winson Han; Alvaro Herrasti; Eric Kolve; Dustin Schwenk; Roozbeh Mottaghi; Ali Farhadi (CoRR, 2019)

RoboTHOR: An Open Simulation-to-Real Embodied AI Platform. - Matt Deitke; Winson Han; Alvaro Herrasti; Aniruddha Kembhavi; Eric Kolve; Roozbeh Mottaghi; Jordi Salvador; Dustin Schwenk; Eli VanderBilt; Matthew Wallingford; Luca Weihs; Mark Yatskar; et al. (CVPR, 2020)

Visual Reaction: Learning to Play Catch With Your Drone. - Kuo-Hao Zeng; Roozbeh Mottaghi; Luca Weihs; Ali Farhadi (CVPR, 2020)

A Cordial Sync: Going Beyond Marginal Policies for Multi-agent Embodied Tasks. - Unnat Jain; Luca Weihs; Eric Kolve; Ali Farhadi; Svetlana Lazebnik; Aniruddha Kembhavi; Alexander G. Schwing (ECCV (5), 2020)

Grounded Situation Recognition. - Sarah M. Pratt; Mark Yatskar; Luca Weihs; Ali Farhadi; Aniruddha Kembhavi (ECCV (4), 2020)

Bridging the Imitation Gap by Adaptive Insubordination. - Luca Weihs; Unnat Jain; Jordi Salvador; Svetlana Lazebnik; Aniruddha Kembhavi; Alexander G. Schwing (CoRR, 2020)

AllenAct: A Framework for Embodied AI Research. - Luca Weihs; Jordi Salvador; Klemen Kotar; Unnat Jain; Kuo-Hao Zeng; Roozbeh Mottaghi; Aniruddha Kembhavi (CoRR, 2020)

ManipulaTHOR: A Framework for Visual Object Manipulation. - Kiana Ehsani; Winson Han; Alvaro Herrasti; Eli VanderBilt; Luca Weihs; Eric Kolve; Aniruddha Kembhavi; Roozbeh Mottaghi (CVPR, 2021)

Visual Room Rearrangement. - Luca Weihs; Matt Deitke; Aniruddha Kembhavi; Roozbeh Mottaghi (CVPR, 2021)

Pushing It Out of the Way: Interactive Visual Navigation. - Kuo-Hao Zeng; Luca Weihs; Ali Farhadi; Roozbeh Mottaghi (CVPR, 2021)

GridToPix: Training Embodied Agents with Minimal Supervision. - Unnat Jain; Iou-Jen Liu; Svetlana Lazebnik; Aniruddha Kembhavi; Luca Weihs; Alexander G. Schwing (ICCV, 2021)

Learning Generalizable Visual Representations via Interactive Gameplay. - Luca Weihs; Aniruddha Kembhavi; Kiana Ehsani; Sarah M. Pratt; Winson Han; Alvaro Herrasti; Eric Kolve; Dustin Schwenk; Roozbeh Mottaghi; Ali Farhadi (ICLR, 2021)

Bridging the Imitation Gap by Adaptive Insubordination. - Luca Weihs; Unnat Jain; Iou-Jen Liu; Jordi Salvador; Svetlana Lazebnik; Aniruddha Kembhavi; Alexander G. Schwing (NeurIPS, 2021)

Gender trends in computer science authorship. - Lucy Lu Wang; Gabriel Stanovsky; Luca Weihs; Oren Etzioni (Commun. ACM, 2021)

Simple but Effective: CLIP Embeddings for Embodied AI. - Apoorv Khandelwal 001; Luca Weihs; Roozbeh Mottaghi; Aniruddha Kembhavi (CVPR, 2022)

🏘️ ProcTHOR: Large-Scale Embodied AI Using Procedural Generation. - Matt Deitke; Eli VanderBilt; Alvaro Herrasti; Luca Weihs; Kiana Ehsani; Jordi Salvador; Winson Han; Eric Kolve; Aniruddha Kembhavi; Roozbeh Mottaghi (NeurIPS, 2022)

Ask4Help: Learning to Leverage an Expert for Embodied Tasks. - Kunal Pratap Singh; Luca Weihs; Alvaro Herrasti; Jonghyun Choi; Aniruddha Kembhavi; Roozbeh Mottaghi (NeurIPS, 2022)

The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents. - Sarah M. Pratt; Luca Weihs; Ali Farhadi (CoRR, 2022)

ProcTHOR: Large-Scale Embodied AI Using Procedural Generation. - Matt Deitke; Eli VanderBilt; Alvaro Herrasti; Luca Weihs; Jordi Salvador; Kiana Ehsani; Winson Han; Eric Kolve; Ali Farhadi; Aniruddha Kembhavi; Roozbeh Mottaghi (CoRR, 2022)

Retrospectives on the Embodied AI Workshop. - Matt Deitke; Dhruv Batra; Yonatan Bisk; Tommaso Campari; Angel X. Chang; Devendra Singh Chaplot; Changan Chen; Claudia Pérez-D'Arpino; Kiana Ehsani; Ali Farhadi; Li Fei-Fei 001; Anthony G. Francis; et al. (CoRR, 2022)

A General Purpose Supervisory Signal for Embodied Agents. - Kunal Pratap Singh; Jordi Salvador; Luca Weihs; Aniruddha Kembhavi (CoRR, 2022)

Phone2Proc: Bringing Robust Robots Into Our Chaotic World. - Matt Deitke; Rose Hendrix; Luca Weihs; Ali Farhadi; Kiana Ehsani; Aniruddha Kembhavi (CoRR, 2022)

Benchmarking Progress to Infant-Level Physical Reasoning in AI. - Luca Weihs; Amanda Rose Yuile; Renée Baillargeon; Cynthia Fisher; Gary Marcus 001; Roozbeh Mottaghi; Aniruddha Kembhavi (Trans. Mach. Learn. Res., 2022)

Objaverse: A Universe of Annotated 3D Objects. - Matt Deitke; Dustin Schwenk; Jordi Salvador; Luca Weihs; Oscar Michel; Eli VanderBilt; Ludwig Schmidt; Kiana Ehsani; Aniruddha Kembhavi; Ali Farhadi (CVPR, 2023)

EXCALIBUR: Encouraging and Evaluating Embodied Exploration. - Hao Zhu 011; Raghav Kapoor; So Yeon Min; Winson Han; Jiatai Li; Kaiwen Geng; Graham Neubig; Yonatan Bisk; Aniruddha Kembhavi; Luca Weihs (CVPR, 2023)

Scene Graph Contrastive Learning for Embodied Navigation. - Kunal Pratap Singh; Jordi Salvador; Luca Weihs; Aniruddha Kembhavi (ICCV, 2023)

Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics. - Kuo-Hao Zeng; Luca Weihs; Roozbeh Mottaghi; Ali Farhadi (ICLR, 2023)

Towards Disturbance-Free Visual Mobile Manipulation. - Tianwei Ni; Kiana Ehsani; Luca Weihs; Jordi Salvador (WACV, 2023)

When Learning Is Out of Reach, Reset: Generalization in Autonomous Visuomotor Reinforcement Learning. - Zichen Zhang 016; Luca Weihs (CoRR, 2023)

Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World. - Kiana Ehsani; Tanmay Gupta; Rose Hendrix; Jordi Salvador; Luca Weihs; Kuo-Hao Zeng; Kunal Pratap Singh; Yejin Kim 003; Winson Han; Alvaro Herrasti; Ranjay Krishna; Dustin Schwenk; et al. (CoRR, 2023)

Understanding Representations Pretrained with Auxiliary Losses for Embodied Agent Planning. - Yuxuan Li; Luca Weihs (CoRR, 2023)

PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators. - Kuo-Hao Zeng; Zichen Zhang 016; Kiana Ehsani; Rose Hendrix; Jordi Salvador; Alvaro Herrasti; Ross B. Girshick; Aniruddha Kembhavi; Luca Weihs (CoRL, 2024)

SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World. - Kiana Ehsani; Tanmay Gupta; Rose Hendrix; Jordi Salvador; Luca Weihs; Kuo-Hao Zeng; Kunal Pratap Singh; Yejin Kim 003; Winson Han; Alvaro Herrasti; Ranjay Krishna; Dustin Schwenk; et al. (CVPR, 2024)

Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences. - Minyoung Hwang; Luca Weihs; Chanwoo Park; Kimin Lee; Aniruddha Kembhavi; Kiana Ehsani (CVPR, 2024)

Seeing the Unseen: Visual Common Sense for Semantic Placement. - Ram Ramrakhya; Aniruddha Kembhavi; Dhruv Batra; Zsolt Kira; Kuo-Hao Zeng; Luca Weihs (CVPR, 2024)

Holodeck: Language Guided Generation of 3D Embodied AI Environments. - Yue Yang 006; Fan-Yun Sun; Luca Weihs; Eli VanderBilt; Alvaro Herrasti; Winson Han; Jiajun Wu 001; Nick Haber; Ranjay Krishna; Lingjie Liu; Chris Callison-Burch; Mark Yatskar; et al. (CVPR, 2024)

Universal Visual Decomposer: Long-Horizon Manipulation Made Easy. - Zichen Zhang 016; Yunshuang Li; Osbert Bastani; Abhishek Gupta 004; Dinesh Jayaraman; Yecheng Jason Ma; Luca Weihs (ICRA, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

CodeNav: Beyond tool-use to using real-world codebases with LLM agents. - Tanmay Gupta; Luca Weihs; Aniruddha Kembhavi (CoRR, 2024)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. - Matt Deitke; Christopher Clark; Sangho Lee 008; Rohun Tripathi; Yue Yang 006; Jae Sung Park; Mohammadreza Salehi; Niklas Muennighoff; Kyle Lo; Luca Soldaini; Jiasen Lu; Taira Anderson; et al. (CoRR, 2024)

The One RING: a Robotic Indoor Navigation Generalist. - Ainaz Eftekhar; Luca Weihs; Rose Hendrix; Ege Caglar; Jordi Salvador; Alvaro Herrasti; Winson Han; Eli VanderBilt; Aniruddha Kembhavi; Ali Farhadi; Ranjay Krishna; Kiana Ehsani; et al. (CoRR, 2024)

Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation. - Yue Yang 006; Ajay Patel; Matt Deitke; Tanmay Gupta; Luca Weihs; Andrew Head; Mark Yatskar; Chris Callison-Burch; Ranjay Krishna; Aniruddha Kembhavi; Christopher Clark (ACL (1), 2025)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models. - Matt Deitke; Christopher Clark; Sangho Lee 001; Rohun Tripathi; Yue Yang 006; Jae Sung Park; Mohammadreza Salehi; Niklas Muennighoff; Kyle Lo; Luca Soldaini; Jiasen Lu; Taira Anderson; et al. (CVPR, 2025)

MutaGReP: Execution-Free Repository-Grounded Plan Search for Code-Use. - Zaid Khan 001; Ali Farhadi; Ranjay Krishna; Luca Weihs; Mohit Bansal; Tanmay Gupta (CoRR, 2025)