Collaborative GAN Sampling. - Yuejiang Liu; Parth Kothari; Alexandre Alahi (CoRR, 2019)

Collaborative Sampling in Generative Adversarial Networks. - Yuejiang Liu; Parth Kothari; Alexandre Alahi (AAAI, 2020)

Interpretable Social Anchors for Human Trajectory Forecasting in Crowds. - Parth Kothari; Brian Sifringer; Alexandre Alahi (CVPR, 2021)

TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive? - Yuejiang Liu; Parth Kothari; Bastien van Delft; Baptiste Bellot-Gurlet; Taylor Mordan; Alexandre Alahi (NeurIPS, 2021)

DriverGym: Democratising Reinforcement Learning for Autonomous Driving. - Parth Kothari; Christian Perone; Luca Bergamini; Alexandre Alahi; Peter Ondruska (CoRR, 2021)

Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting. - Parth Kothari; Danya Li; Yuejiang Liu; Alexandre Alahi (CoRL, 2022)

Human Trajectory Forecasting in Crowds: A Deep Learning Perspective. - Parth Kothari; Sven Kreiss; Alexandre Alahi (IEEE Trans. Intell. Transp. Syst., 2022)

Safety-Compliant Generative Adversarial Networks for Human Trajectory Forecasting. - Parth Kothari; Alexandre Alahi (IEEE Trans. Intell. Transp. Syst., 2023)

General Geospatial Inference with a Population Dynamics Foundation Model. - Mohit Agarwal; Mimi Sun; Chaitanya Kamath; Arbaaz Muslim; Prithul Sarker; Joydeep Paul; Hector Yee; Marcin Sieniek; Kim Philipp Jablonski; Yael Mayer; David Fork; Sheila de Guia; et al. (CoRR, 2024)