Bio

I’m the Co-CEO and Co-Founder of Yutori. Almost everything in computing has been reinvented in the last thirty years, except how we interact with the web. It’s still a person, a browser, and endless clicking, scrolling, filling forms, fighting popups and ads. At Yutori, we’re building agents that browse and act on the web for you, autonomously.

During my PhD at Georgia Tech (2016–2020), I did some of the earliest work on agents that can see, talk, and act, e.g. visual chatbots trained with deep reinforcement learning, embodied agents that navigate and answer questions, and attention-based multi-agent communication. My labmates and I also developed Grad-CAM (42k+ citations), a general method for interpreting neural networks. Along the way, I interned at FAIR, DeepMind, and Tesla Autopilot.

My PhD thesis was a runner-up for the 2020 AAAI/ACM SIGAI Doctoral Dissertation Award.

I’ve also spent time at Fundamental AI Research (FAIR) at Meta, where I helped start the Open Catalyst Project (now FAIR Chemistry) to accelerate electrocatalyst discovery. My teammates and I developed large datasets like OC20 and OC22, and state-of-the-art models like GemNet-OC, EquiformerV2, and UMA, which have sped up DFT calculations by over 2000x.

I got my Bachelor’s at IIT Roorkee. On the side, I’ve built aideadlin.es, aipaygrad.es, and other things, and I occasionally dabble in generative art.

Talks and Interviews

Publications

My papers have been cited 52,405 times. See Google Scholar for an up-to-date list.

UMA: A Family of Universal Models for Atoms

Brandon M. Wood*, Misko Dzamba*, Xiang Fu*, Meng Gao*, Muhammed Shuaibi*, Luis Barroso-Luque, Kareem Abdelmaqsoud, Vahe Gharakhanyan, John R. Kitchin, Daniel S. Levine, Kyle Michel, Anuroop Sriram, Taco Cohen, Abhishek Das, Sushree Jagriti Sahoo, Ammar Rizvi, Zachary W. Ulissi, C. Lawrence Zitnick
NeurIPS 2025 Paper Code

Generalizing Denoising to Non-Equilibrium Structures Improves Equivariant Force Fields

Yi-Lun Liao, Tess Smidt, Muhammed Shuaibi*, Abhishek Das*
TMLR 2024 Paper

The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air Capture

Anuroop Sriram, Sihoon Choi, Xiaohan Yu, Logan M. Brabson, Abhishek Das, Zachary Ulissi, Matt Uyttendaele, Andrew J. Medford, David S. Sholl
ACS Central Science 2024 Paper Code Website

EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

Yi-Lun Liao, Brandon Wood, Abhishek Das*, Tess Smidt*
ICLR 2024 Paper Code

AdsorbML: Accelerating Adsorption Energy Calculations with Machine Learning

Janice Lan*, Aini Palizhati*, Muhammed Shuaibi*, Brandon M. Wood*, Brook Wander, Abhishek Das, Matt Uyttendaele, C. Lawrence Zitnick, Zachary W. Ulissi
npj Computational Materials 2023 Paper Code

PIRLNav: Pretraining with Imitation and RL Finetuning for ObjectNav

Ram Ramrakhya, Dhruv Batra, Erik Wijmans, Abhishek Das
CVPR 2023, RRL workshop at ICLR 2023 Paper Code Website

The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis

Richard Tran*, Janice Lan*, Muhammed Shuaibi*, Siddharth Goyal*, Brandon M. Wood*, Abhishek Das, Javier Heras-Domingo, Adeesh Kolluru, Ammar Rizvi, Nima Shoghi, Anuroop Sriram, Zachary Ulissi, C. Lawrence Zitnick
ACS Catalysis 2023
Paper Code Dataset

"... new dataset for green hydrogen fuel" by Janice, Siddharth, Ammar, Larry

GemNet-OC: Developing Graph Neural Networks for Large and Diverse Molecular Simulation Datasets

Johannes Gasteiger, Muhammed Shuaibi, Anuroop Sriram, Stephan Günnemann, Zachary Ulissi, C. Lawrence Zitnick, Abhishek Das
TMLR 2022 Paper Code

Spherical Channels for Modeling Atomic Interactions

C. Lawrence Zitnick, Abhishek Das, Adeesh Kolluru, Janice Lan, Muhammed Shuaibi, Anuroop Sriram, Zachary Ulissi, Brandon Wood
NeurIPS 2022 Paper Code

Open Challenges in Developing Generalizable Large Scale Machine Learning Models for Catalyst Discovery

Adeesh Kolluru*, Muhammed Shuaibi*, Aini Palizhati, Nima Shoghi, Abhishek Das, Brandon Wood, C. Lawrence Zitnick, John R. Kitchin, Zachary Ulissi
ACS Catalysis (Perspective) 2022 Paper

Transfer learning using attentions across atomic systems with graph neural networks (TAAG)

Adeesh Kolluru, Nima Shoghi, Muhammed Shuaibi, Siddharth Goyal, Abhishek Das, C. Lawrence Zitnick, Zachary Ulissi The Journal of Chemical Physics 2022 Paper Code

Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale

Ram Ramrakhya, Eric Undersander, Dhruv Batra, Abhishek Das
CVPR 2022 Paper Code Website Presentation video

Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations

Anuroop Sriram, Abhishek Das, Brandon M. Wood, Siddharth Goyal, C. Lawrence Zitnick
ICLR 2022 Paper Code

Rotation Invariant Graph Neural Networks using Spin Convolutions

Muhammed Shuaibi, Adeesh Kolluru, Abhishek Das, Aditya Grover, Anuroop Sriram, Zachary Ulissi, C. Lawrence Zitnick
Paper Code

Automated Video Description for Blind and Low Vision Users

Aditya Bodi, Pooyan Fazli, Shasta Ihorn, Yue-Ting Siu, Andrew T Scott, Lothar Narins, Yash Kant, Abhishek Das, Ilmi Yoon
CHI EA 2021
Paper

Auxiliary Tasks and Exploration Enable ObjectNav

Joel Ye, Dhruv Batra, Abhishek Das, Erik Wijmans
ICCV 2021
Paper Code Website

ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations

Weihua Hu, Muhammed Shuaibi, Abhishek Das, Siddharth Goyal, Anuroop Sriram, Jure Leskovec, Devi Parikh, C. Lawrence Zitnick
ICLR 2021 Deep Learning for Simulation Workshop
Paper opencatalystproject.org Presentation video

The Open Catalyst 2020 (OC20) Dataset and Community Challenges

Lowik Chanussot^*, Abhishek Das^*, Siddharth Goyal^*, Thibaut Lavril^*, Muhammed Shuaibi^*, Morgane Riviére, Kevin Tran, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Aini Palizhati, Anuroop Sriram, Brandon Wood, Junwoong Yoon, Devi Parikh, C. Lawrence Zitnick, Zachary Ulissi
ACS Catalysis 2021
Paper Code Dataset opencatalystproject.org

"Facebook and Carnegie Mellon launch .. to ... store renewable energy" by Larry Zitnick "Facebook A.I. researchers push for a breakthrough in renewable energy storage" by Jeremy Kahn "Facebook deploys its AI to find green energy storage solutions" by Andrew Tarantola "Facebook to use artificial intelligence in bid to improve renewable energy storage" by Sam Shead "Facebook and Carnegie Mellon launch project to ... store renewable energy" by Kyle Wiggers "Facebook plans to use AI to help fight climate change" by Queenie Wong "Facebook & CMU Open Catalyst Project Applies AI to Renewable Energy Storage" by Fangyu Cai

Auxiliary Tasks Speed Up Learning PointGoal Navigation

Joel Ye, Dhruv Batra, Erik Wijmans*, Abhishek Das*
CoRL 2020
Paper Code

Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline

Vishvak Murahari, Dhruv Batra, Devi Parikh, Abhishek Das
ECCV 2020
Paper Code

Building agents that can see, talk, and act

Abhishek Das AAAI/ACM SIGAI Doctoral Dissertation Award, Runner-up Georgia Tech Sigma Xi Best PhD Thesis Award Georgia Tech College of Computing Dissertation Award PhD Thesis

Probing Emergent Semantics in Predictive Agents via Question Answering

Abhishek Das^*, Federico Carnevale^*, Hamza Merzic, Laura Rimell, Rosalia Schneider, Josh Abramson, Alden Hung, Arun Ahuja, Stephen Clark, Gregory Wayne, Felix Hill
ICML 2020
Paper Presentation video Slides

Feel The Music: Automatically Generating A Dance For An Input Song

Purva Tendulkar, Abhishek Das, Aniruddha Kembhavi, Devi Parikh
ICCC 2020
Paper Code Videos

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
IJCAI-PRICAI 2020, ICLR 2019 Task-Agnostic RL Workshop
Paper

Improving Generative Visual Dialog by Answering Diverse Questions

Vishvak Murahari, Prithvijit Chattopadhyay, Dhruv Batra, Devi Parikh, Abhishek Das
EMNLP 2019
Paper Code

TarMAC: Targeted Multi-Agent Communication

Abhishek Das, Théophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Michael Rabbat, Joelle Pineau
ICML 2019
Paper Slides

Embodied Question Answering in Photorealistic Environments with Point Clouds

Erik Wijmans*, Samyak Datta*, Oleksandr Maksymets*, Abhishek Das, Georgia Gkioxari, Stefan Lee, Irfan Essa, Devi Parikh, Dhruv Batra
CVPR 2019 (Oral)
Paper

Audio-Visual Scene-Aware Dialog

Huda Alamri, Vincent Cartillier, Abhishek Das, Jue Wang, Stefan Lee, Peter Anderson, Irfan Essa, Devi Parikh, Dhruv Batra, Anoop Cherian, Tim K. Marks, Chiori Hori
CVPR 2019
Paper Code video-dialog.com

End-to-end Audio Visual Scene-Aware Dialog Using Multimodal Attention-based Video Features

Chiori Hori, Huda Alamri, Jue Wang, Gordon Wichern, Takaaki Hori, Anoop Cherian, Tim K. Marks, Vincent Cartillier, Raphael Lopes, Abhishek Das, Irfan Essa, Dhruv Batra, Devi Parikh
ICASSP 2019
Paper video-dialog.com

Neural Modular Control for Embodied Question Answering

Abhishek Das, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra
CoRL 2018 (Spotlight)
Paper embodiedqa.org Presentation video Slides

Embodied Question Answering

Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra
CVPR 2018 (Oral)
Paper embodiedqa.org Code Presentation video Slides

"Embodied Question Answering" by Abhishek Das "... a goal-driven approach to autonomous agents" by Dhruv Batra, Devi Parikh "... an AI scavenger hunt that could lead to the first useful home robots" by Will Knight

Evaluating Visual Conversational Agents via Cooperative Human-AI Games

Prithvijit Chattopadhyay^*, Deshraj Yadav^*, Viraj Prabhu, Arjun Chandrasekaran, Abhishek Das, Stefan Lee, Dhruv Batra, Devi Parikh
HCOMP 2017
Paper Code

Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning

Abhishek Das^*, Satwik Kottur^*, Stefan Lee, José M.F. Moura, Dhruv Batra
ICCV 2017 (Oral)
Paper Code Presentation video Slides

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra
IJCV 2019, ICCV 2017, NIPS 2016 Interpretable ML for Complex Systems Workshop
Paper Code Demo

Visual Dialog

Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José M.F. Moura, Devi Parikh, Dhruv Batra
PAMI 2018, CVPR 2017 (Spotlight)
Paper Code visualdialog.org AMT chat interface Demo Presentation video Slides

Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?

Abhishek Das^*, Harsh Agrawal^*, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra CVIU 2017, EMNLP 2016, ICML 2016 Workshop on Visualization for Deep Learning Paper Project+Dataset neural-vqa-attention

"Is Artificial Intelligence Permanently Inscrutable?" by Aaron Bornstein "Deep learning is creating computer systems we don't fully understand" by James Vincent "Robot eyes and humans fix on different things to decode a scene" by Aviva Rutkin "Robots and humans see the world differently – but we don't know why" by Duncan Geere "AI Is Learning to See the World—But Not the Way Humans Do" by Jamie Condliffe

Side projects