Sharma, Mohit

18 publications

ICLRW 2025 An Optimal Criterion for Steering Data Distributions to Achieve Exact Fairness Mohit Sharma, Amit Deshpande, Chiranjib Bhattacharyya, Rajiv Ratn Shah
ICML 2025 Learning the RoPEs: Better 2D and 3D Position Encodings with STRING Connor Schenck, Isaac Reid, Mithun George Jacob, Alex Bewley, Joshua Ainslie, David Rendleman, Deepali Jain, Mohit Sharma, Kumar Avinava Dubey, Ayzaan Wahid, Sumeet Singh, René Wagner, Tianli Ding, Chuyuan Fu, Arunkumar Byravan, Jake Varley, Alexey A. Gritsenko, Matthias Minderer, Dmitry Kalashnikov, Jonathan Tompson, Vikas Sindhwani, Krzysztof Marcin Choromanski
ICLRW 2025 Learning the RoPEs: Better 2D and 3D Position Encodings with STRING Connor Schenck, Isaac Reid, Mithun George Jacob, Alex Bewley, Joshua Ainslie, David Rendleman, Deepali Jain, Mohit Sharma, Kumar Avinava Dubey, Ayzaan Wahid, Sumeet Singh, René Wagner, Tianli Ding, Chuyuan Fu, Arunkumar Byravan, Jake Varley, Alexey A. Gritsenko, Matthias Minderer, Dmitry Kalashnikov, Jonathan Tompson, Vikas Sindhwani, Krzysztof Marcin Choromanski
NeurIPS 2025 On Optimal Steering to Achieve Exact Fairness Mohit Sharma, Amit Deshpande, Chiranjib Bhattacharyya, Rajiv Ratn Shah
CoRL 2025 Predictive Red Teaming: Breaking Policies Without Breaking Robots Anirudha Majumdar, Mohit Sharma, Dmitry Kalashnikov, Sumeet Singh, Pierre Sermanet, Vikas Sindhwani
ICML 2024 How Far Can Fairness Constraints Help Recover from Biased Data? Mohit Sharma, Amit Deshpande
CVPR 2024 OpenEQA: Embodied Question Answering in the Era of Foundation Models Arjun Majumdar, Anurag Ajay, Xiaohan Zhang, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul Mcvay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Ben Newman, Mohit Sharma, Vincent Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan, Franziska Meier, Chris Paxton, Alexander Sax, Aravind Rajeswaran
ICLR 2023 Lossless Adaptation of Pretrained Vision Models for Robotic Manipulation Mohit Sharma, Claudio Fantacci, Yuxiang Zhou, Skanda Koppula, Nicolas Heess, Jon Scholz, Yusuf Aytar
CoRL 2023 Multi-Resolution Sensing for Real-Time Control with Vision-Language Models Saumya Saxena, Mohit Sharma, Oliver Kroemer
AAAI 2021 Inverse Reinforcement Learning with Explicit Policy Estimates Navyata Sanghvi, Shinnosuke Usami, Mohit Sharma, Joachim Groeger, Kris Kitani
AAAI 2020 Analysis of Parliamentary Debate Transcripts Using Community-Based Graphical Approaches (Student Abstract) Anjali Bhavan, Mohit Sharma, Ramit Sawhney, Rajiv Ratn Shah
IJCAI 2020 IR-VIC: Unsupervised Discovery of Sub-Goals for Transfer in RL Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam
CoRL 2020 Learning to Compose Hierarchical Object-Centric Controllers for Robotic Manipulation Mohit Sharma, Jacky Liang, Jialiang Zhao, Alex Lagrassa, Oliver Kroemer
CoRL 2020 Relational Learning for Skill Preconditions Mohit Sharma, Oliver Kroemer
AAAI 2020 SpotFake+: A Multimodal Framework for Fake News Detection via Transfer Learning (Student Abstract) Shivangi Singhal, Anubha Kabra, Mohit Sharma, Rajiv Ratn Shah, Tanmoy Chakraborty, Ponnurangam Kumaraguru
ICLR 2019 Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations Using Directed Information Mohit Sharma, Arjun Sharma, Nicholas Rhinehart, Kris M. Kitani
WACV 2018 Recognizing Visual Signatures of Spontaneous Head Gestures Mohit Sharma, Dragan Ahmetovic, László A. Jeni, Kris M. Kitani
NeurIPS 2010 Decoding Ipsilateral Finger Movements from ECoG Signals in Humans Yuzong Liu, Mohit Sharma, Charles Gaona, Jonathan Breshears, Jarod Roland, Zachary Freudenburg, Eric Leuthardt, Kilian Q. Weinberger