ATOM3D: Tasks On Molecules in Three Dimensions. - Raphael J. L. Townshend; Martin Vögele; Patricia Suriana; Alexander Derry; Alexander S. Powers; Yianni Laloudakis; Sidhika Balachandar; Brandon M. Anderson; Stephan Eismann; Risi Kondor; Russ B. Altman; Ron O. Dror (CoRR, 2020)

ATOM3D: Tasks on Molecules in Three Dimensions. - Raphael J. L. Townshend; Martin Vögele; Patricia Suriana; Alexander Derry; Alexander S. Powers; Yianni Laloudakis; Sidhika Balachandar; Bowen Jing; Brandon M. Anderson; Stephan Eismann; Risi Kondor; Russ B. Altman; et al. (NeurIPS Datasets and Benchmarks, 2021)

Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks. - Sidhika Balachandar; Adrien Poulenard; Congyue Deng; Leonidas J. Guibas (CoRR, 2022)

Large language models shape and are shaped by society: A survey of arXiv publication patterns. - Rajiv Movva; Sidhika Balachandar; Kenny Peng; Gabriel Agostini; Nikhil Garg 001; Emma Pierson (CoRR, 2023)

Domain constraints improve risk prediction when outcome data is missing. - Sidhika Balachandar; Nikhil Garg 001; Emma Pierson (ICLR, 2024)

Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers. - Rajiv Movva; Sidhika Balachandar; Kenny Peng; Gabriel Agostini; Nikhil Garg 001; Emma Pierson (NAACL-HLT, 2024)

Urban Incident Prediction with Graph Neural Networks: Integrating Government Ratings and Crowdsourced Reports. - Sidhika Balachandar; Shuvom Sadhuka; Bonnie Berger; Emma Pierson; Nikhil Garg 001 (CoRR, 2025)