Inertial Single Vehicle Trajectory Prediction Baselines and Applications with the NGSIM Dataset. - Jean Mercat; Nicole El Zoghby; Guillaume Sandou; Dominique Beauvois; Guillermo Pita Gil (CoRR, 2019)

Multi-Modal Simultaneous Forecasting of Vehicle Position Sequences using Social Attention. - Jean Mercat; Thomas Gilles; Nicole El Zoghby; Guillaume Sandou; Dominique Beauvois; Guillermo Pita Gil (CoRR, 2019)

Social Attention for Autonomous Decision-Making in Dense Traffic. - Edouard Leurent; Jean Mercat (CoRR, 2019)

Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting. - Jean Mercat; Thomas Gilles; Nicole El Zoghby; Guillaume Sandou; Dominique Beauvois; Guillermo Pita Gil (ICRA, 2020)

Higher Order Linear Transformer. - Jean Mercat (CoRR, 2020)

RAP: Risk-Aware Prediction for Robust Planning. - Haruki Nishimura; Jean Mercat; Blake Wulfe; Rowan Thomas McAllister; Adrien Gaidon (CoRL, 2022)

Dynamics-Aware Comparison of Learned Reward Functions. - Blake Wulfe; Logan Michael Ellis; Jean Mercat; Rowan Thomas McAllister; Adrien Gaidon (ICLR, 2022)

Control-Aware Prediction Objectives for Autonomous Driving. - Rowan McAllister; Blake Wulfe; Jean Mercat; Logan Ellis; Sergey Levine; Adrien Gaidon (ICRA, 2022)

Dynamics-Aware Comparison of Learned Reward Functions. - Blake Wulfe; Ashwin Balakrishna; Logan Ellis; Jean Mercat; Rowan McAllister; Adrien Gaidon (CoRR, 2022)

Residual Q-Learning: Offline and Online Policy Customization without Value. - Chenran Li; Chen Tang 001; Haruki Nishimura; Jean Mercat; Masayoshi Tomizuka; Wei Zhan (NeurIPS, 2023)

Multi-Modal Representation Learning with Tactile Data. - Hyung-Gun Chi; Jose A. Barreiros; Jean Mercat; Karthik Ramani; Thomas Kollar (IROS, 2024)

DataComp-LM: In search of the next generation of training sets for language models. - Jeffrey Li; Alex Fang; Georgios Smyrnis; Maor Ivgi; Matt Jordan; Samir Yitzhak Gadre; Hritik Bansal; Etash Kumar Guha; Sedrick Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 2024)

Language models scale reliably with over-training and on downstream tasks. - Samir Yitzhak Gadre; Georgios Smyrnis; Vaishaal Shankar; Suchin Gururangan; Mitchell Wortsman; Rulin Shao; Jean Mercat; Alex Fang; Jeffrey Li; Sedrick Keh; Rui Xin; Marianna Nezhurina; et al. (CoRR, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (CoRR, 2024)

Linearizing Large Language Models. - Jean Mercat; Igor Vasiljevic; Sedrick Keh; Kushal Arora; Achal Dave; Adrien Gaidon; Thomas Kollar (CoRR, 2024)

Espresso: High Compression For Rich Extraction From Videos for Your Vision-Language Model. - Keunwoo Peter Yu; Achal Dave; Rares Ambrus; Jean Mercat (CoRR, 2024)

Language models scale reliably with over-training and on downstream tasks. - Samir Yitzhak Gadre; Georgios Smyrnis; Vaishaal Shankar; Suchin Gururangan; Mitchell Wortsman; Rulin Shao; Jean Mercat; Alex Fang; Jeffrey Li; Sedrick Keh; Rui Xin; Marianna Nezhurina; et al. (ICLR, 2025)

Should VLMs be Pre-trained with Image Data? - Sedrick Keh; Jean Mercat; Samir Yitzhak Gadre; Kushal Arora; Igor Vasiljevic; Benjamin Burchfiel; Shuran Song; Russ Tedrake; Thomas Kollar; Ludwig Schmidt; Achal Dave (ICLR, 2025)

OpenThoughts: Data Recipes for Reasoning Models. - Etash Kumar Guha; Ryan Marten; Sedrick Keh; Negin Raoof; Georgios Smyrnis; Hritik Bansal; Marianna Nezhurina; Jean Mercat; Trung Vu 002; Zayne Sprague; Ashima Suvarna; Benjamin Feuer; et al. (CoRR, 2025)

A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation. - TRI LBM Team; Jose A. Barreiros; Andrew Beaulieu; Aditya Bhat; Rick Cory; Eric Cousineau; Hongkai Dai; Ching-Hsin Fang; Kunimatsu Hashimoto; Muhammad Zubair Irshad; Masha Itkina; Naveen Kuppuswamy; et al. (CoRR, 2025)