引用次数
引用: 27,771
H-指数: 27
I10-指数 : 34
出版物: 23
Open Catalyst 2020 (OC20) Dataset and Community Challenges
Lowik Chanussot , Abhishek Das , Siddharth Goyal , Thibaut Lavril
ACS Catalysis 11 ( 10) 6059 -6072
156
2021
Pirlnav: Pretraining with imitation and rl finetuning for objectnav
Ram Ramrakhya , Dhruv Batra , Erik Wijmans , Abhishek Das
Smpte Journal 17896 -17906
2023
Auxiliary tasks and exploration enable objectgoal navigation
Joel Ye , Dhruv Batra , Abhishek Das , Erik Wijmans
Smpte Journal 16117 -16126
26
2021
Habitat-web: Learning embodied object-search strategies from human demonstrations at scale
Ram Ramrakhya , Eric Undersander , Dhruv Batra , Abhishek Das
Smpte Journal 5173 -5183
22
2022
Gemnet-oc: developing graph neural networks for large and diverse molecular simulation datasets
Johannes Gasteiger , Muhammed Shuaibi , Anuroop Sriram , Stephan Günnemann
arXiv preprint arXiv:2204.02782
4
2022
Open challenges in developing generalizable large-scale machine-learning models for catalyst discovery
Adeesh Kolluru , Muhammed Shuaibi , Aini Palizhati , Nima Shoghi
ACS Catalysis 12 ( 14) 8572 -8581
8
2022
Transfer learning using attentions across atomic systems with graph neural networks (TAAG)
Adeesh Kolluru , Nima Shoghi , Muhammed Shuaibi , Siddharth Goyal
The Journal of Chemical Physics 156 ( 18)
6
2022
Towards training billion parameter graph neural networks for atomic simulations
Anuroop Sriram , Abhishek Das , Brandon M Wood , Siddharth Goyal
arXiv preprint arXiv:2203.09697
8
2022
Rotation invariant graph neural networks using spin convolutions
Muhammed Shuaibi , Adeesh Kolluru , Abhishek Das , Aditya Grover
arXiv preprint arXiv:2106.09575
33
2021
Spherical channels for modeling atomic interactions
Larry Zitnick , Abhishek Das , Adeesh Kolluru , Janice Lan
Advances in Neural Information Processing Systems 35 8054 -8067
5
2022
Adsorbml: Accelerating adsorption energy calculations with machine learning
Janice Lan , Aini Palizhati , Muhammed Shuaibi , Brandon M Wood
arXiv preprint arXiv:2211.16486
2
2022
The Open Catalyst Challenge 2021: Competition Report.
Abhishek Das , Muhammed Shuaibi , Aini Palizhati , Siddharth Goyal
NeurIPS (Competition and Demos) 29 -40
2
2021
An introduction to electrocatalyst design using machine learning for renewable energy storage
C Lawrence Zitnick , Lowik Chanussot , Abhishek Das , Siddharth Goyal
arXiv preprint arXiv:2010.09435
74
2020
Forcenet: A graph neural network for large-scale quantum calculations
Weihua Hu , Muhammed Shuaibi , Abhishek Das , Siddharth Goyal
arXiv preprint arXiv:2103.01436
56
2021
Open Catalyst Project: Advancements and Challenges in Building a Flexible Machine Learning Potential
Muhammed Shuaibi , Lowik Chanussot , Siddharth Goyal , Thibaut Lavril
2021 AIChE Annual Meeting
2021
The Open Catalyst 2022 (OC22) dataset and challenges for oxide electrocatalysts
Richard Tran , Janice Lan , Muhammed Shuaibi , Brandon M Wood
ACS Catalysis 13 ( 5) 3066 -3084
81
2023
The Open DAC 2023 dataset and challenges for sorbent discovery in direct air capture
Anuroop Sriram , Sihoon Choi , Xiaohan Yu , Logan M Brabson
ACS Central Science
4
2023
Proceedings of the Fourth Workshop on Visually Grounded Interaction and Language
Cătălina Cangea , Abhishek Das , Drew Hudson , Jacob Krantz
Proceedings of the Fourth Workshop on Visually Grounded Interaction and Language
2021
NarrationBot and InfoBot: A Hybrid System for Automated Video Description
Shasta Ihorn , Yue-Ting Siu , Aditya Bodi , Lothar Narins
https://arxiv.org/abs/2111.03994v1
2021
Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R Selvaraju , Abhishek Das , Ramakrishna Vedantam , Michael Cogswell
ICCV 2017
22,393
2016
Devi Parikh Dhruv Batra Ramakrishna Vedantam Michael Cogswell C. Lawrence Zitnick Muhammed Shuaibi Zachary W. Ulissi Stefan Lee Georgia Gkioxari Erik Wijmans Irfan Essa Satwik Kottur Jose M. F. Moura Samyak Datta Prithvijit Chattopadhyay Harsh Agrawal Avi Singh Peter Anderson Joelle Pineau Michael Rabbat