Learning to Prevent Monocular SLAM Failure using Reinforcement Learning. - Vignesh Prasad; Karmesh Yadav; Rohitashva Singh Saurabh; Swapnil Daga; Nahas Pareekutty; K. Madhava Krishna; Balaraman Ravindran; Brojeshwar Bhowmick (ICVGIP, 2018)

Look-ahead Meta Learning for Continual Learning. - Gunshi Gupta; Karmesh Yadav; Liam Paull (NeurIPS, 2020)

La-MAML: Look-ahead Meta Learning for Continual Learning. - Gunshi Gupta; Karmesh Yadav; Liam Paull (CoRR, 2020)

Last-Mile Embodied Visual Navigation. - Justin Wasserman; Karmesh Yadav; Girish Chowdhary 001; Abhinav Gupta 003; Unnat Jain (CoRL, 2022)

Offline Visual Representation Learning for Embodied Navigation. - Karmesh Yadav; Ram Ramrakhya; Arjun Majumdar; Vincent-Pierre Berges; Sachit Kuhar; Dhruv Batra; Alexei Baevski; Oleksandr Maksymets (CoRR, 2022)

Last-Mile Embodied Visual Navigation. - Justin Wasserman; Karmesh Yadav; Girish Chowdhary 001; Abhinav Gupta 001; Unnat Jain (CoRR, 2022)

HomeRobot: Open-Vocabulary Mobile Manipulation. - Sriram Yenamandra; Arun Ramachandran; Karmesh Yadav; Austin S. Wang; Mukul Khanna; Théophile Gervet; Tsung-Yen Yang; Vidhi Jain; Alexander Clegg; John M. Turner; Zsolt Kira; Manolis Savva; et al. (CoRL, 2023)

Habitat-Matterport 3D Semantics Dataset. - Karmesh Yadav; Ram Ramrakhya; Santhosh Kumar Ramakrishnan; Théophile Gervet; John M. Turner; Aaron Gokaslan; Noah Maestre; Angel Xuan Chang; Dhruv Batra; Manolis Savva; Alexander William Clegg; Devendra Singh Chaplot (CVPR, 2023)

Navigating to Objects Specified by Images. - Jacob Krantz; Théophile Gervet; Karmesh Yadav; Austin S. Wang; Chris Paxton 001; Roozbeh Mottaghi; Dhruv Batra; Jitendra Malik; Stefan Lee; Devendra Singh Chaplot (ICCV, 2023)

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? - Arjun Majumdar; Karmesh Yadav; Sergio Arnaud; Yecheng Jason Ma; Claire Chen; Sneha Silwal; Aryan Jain; Vincent-Pierre Berges; Tingfan Wu; Jay Vakil; Pieter Abbeel; Jitendra Malik; et al. (NeurIPS, 2023)

OVRL-V2: A simple state-of-art baseline for ImageNav and ObjectNav. - Karmesh Yadav; Arjun Majumdar; Ram Ramrakhya; Naoki Yokoyama; Alexei Baevski; Zsolt Kira; Oleksandr Maksymets; Dhruv Batra (CoRR, 2023)

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? - Arjun Majumdar; Karmesh Yadav; Sergio Arnaud; Yecheng Jason Ma; Claire Chen; Sneha Silwal; Aryan Jain; Vincent-Pierre Berges; Pieter Abbeel; Jitendra Malik; Dhruv Batra; Yixin Lin; et al. (CoRR, 2023)

OpenEQA: Embodied Question Answering in the Era of Foundation Models. - Arjun Majumdar; Anurag Ajay; Xiaohan Zhang 002; Pranav Putta; Sriram Yenamandra; Mikael Henaff; Sneha Silwal; Paul McVay; Oleksandr Maksymets; Sergio Arnaud; Karmesh Yadav; Qiyang Li; et al. (CVPR, 2024)

What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments? - Sneha Silwal; Karmesh Yadav; Tingfan Wu; Jay Vakil; Arjun Majumdar; Sergio Arnaud; Claire Chen; Vincent-Pierre Berges; Dhruv Batra; Aravind Rajeswaran; Mrinal Kalakrishnan; Franziska Meier; et al. (ICRA, 2024)

Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control. - Gunshi Gupta; Karmesh Yadav; Yarin Gal; Dhruv Batra; Zsolt Kira; Cong Lu; Tim G. J. Rudner (NeurIPS, 2024)

Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge. - Sriram Yenamandra; Arun Ramachandran; Mukul Khanna; Karmesh Yadav; Jay Vakil; Andrew Melnik; Michael Büttner; Leon Harz; Lyon Brown; Gora Chand Nandi; Arjun P. S; Gaurav Kumar Yadav; et al. (CoRR, 2024)

ReLIC: A Recipe for 64k Steps of In-Context Reinforcement Learning for Embodied AI. - Ahmad Elawady; Gunjan Chhablani; Ram Ramrakhya; Karmesh Yadav; Dhruv Batra; Zsolt Kira; Andrew Szot (CoRR, 2024)

Magistral. - Abhinav Rastogi; Albert Q. Jiang; Andy Lo; Gabrielle Berrada; Guillaume Lample; Jason Rute; Joep Barmentlo; Karmesh Yadav; Kartik Khandelwal; Khyathi Raghavi Chandu; Léonard Blier; Lucile Saulnier; et al. (CoRR, 2025)

FindingDory: A Benchmark to Evaluate Memory in Embodied Agents. - Karmesh Yadav; Yusuf Ali; Gunshi Gupta; Yarin Gal; Zsolt Kira (CoRR, 2025)

Let's Think in Two Steps: Mitigating Agreement Bias in MLLMs with Self-Grounded Verification. - Moises Andrade; Joonhyuk Cha; Brandon Ho; Vriksha Srihari; Karmesh Yadav; Zsolt Kira (CoRR, 2025)

Voxtral. - Alexander H. Liu; Andy Ehrenberg; Andy Lo; Clément Denoix; Corentin Barreau; Guillaume Lample; Jean-Malo Delignon; Khyathi Raghavi Chandu; Patrick von Platen; Pavankumar Reddy Muddireddy; Sanchit Gandhi; Soham Ghosh; et al. (CoRR, 2025)