Playful Interactions for Representation Learning. - Sarah Young; Jyothish Pari; Pieter Abbeel; Lerrel Pinto (IROS, 2022)

The Surprising Effectiveness of Representation Learning for Visual Imitation. - Jyothish Pari; Nur Muhammad (Mahi) Shafiullah; Sridhar Pandian Arunachalam; Lerrel Pinto (Robotics: Science and Systems, 2022)

Train Offline, Test Online: A Real Robot Learning Benchmark. - Gaoyue Zhou; Victoria Dean; Mohan Kumar Srirama; Aravind Rajeswaran; Jyothish Pari; Kyle Hatch; Aryan Jain; Tianhe Yu; Pieter Abbeel; Lerrel Pinto; Chelsea Finn; Abhinav Gupta 001 (ICRA, 2023)

Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations. - Siddhant Haldar; Jyothish Pari; Anant Rai; Lerrel Pinto (Robotics: Science and Systems, 2023)

Few-Shot Task Learning through Inverse Generative Modeling. - Aviv Netanyahu; Yilun Du; Antonia Bronars; Jyothish Pari; Josh Tenenbaum 001; Tianmin Shu; Pulkit Agrawal 001 (NeurIPS, 2024)

Collective Model Intelligence Requires Compatible Specialization. - Jyothish Pari; Samy Jelassi; Pulkit Agrawal 001 (CoRR, 2024)

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning. - Moritz Reuss; Jyothish Pari; Pulkit Agrawal 001; Rudolf Lioutikov (ICLR, 2025)

General Reasoning Requires Learning to Reason from the Get-go. - Seungwook Han; Jyothish Pari; Samuel J. Gershman; Pulkit Agrawal 001 (CoRR, 2025)

Self-Adapting Language Models. - Adam Zweiger; Jyothish Pari; Han Guo; Ekin Akyürek; Yoon Kim; Pulkit Agrawal 001 (CoRR, 2025)