Sidhika Balachandar

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Papers Published

Language Modelling

Top Venues

NeurIPS Datasets and Benchmarks

Publications

Rajiv Movva, Sidhika Balachandar, Kenny Peng, Gabriel Agostini, Nikhil Garg, Emma Pierson
Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers. NAACL-HLT (2024)
Sidhika Balachandar, Nikhil Garg, Emma Pierson
Domain constraints improve risk prediction when outcome data is missing. ICLR (2024)
Rajiv Movva, Sidhika Balachandar, Kenny Peng, Gabriel Agostini, Nikhil Garg, Emma Pierson
Large language models shape and are shaped by society: A survey of arXiv publication patterns. CoRR (2023)
Sidhika Balachandar, Nikhil Garg, Emma Pierson
Domain constraints improve risk prediction when outcome data is missing. CoRR (2023)
Sidhika Balachandar, Adrien Poulenard, Congyue Deng, Leonidas J. Guibas
Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks. CoRR (2022)
Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander Powers, Yianni Laloudakis, Sidhika Balachandar, Bowen Jing, Brandon M. Anderson, Stephan Eismann, Risi Kondor, Russ B. Altman, Ron O. Dror
ATOM3D: Tasks on Molecules in Three Dimensions. NeurIPS Datasets and Benchmarks (2021)
Raphael J. L. Townshend, Martin Vögele, Patricia Suriana, Alexander Derry, Alexander Powers, Yianni Laloudakis, Sidhika Balachandar, Brandon M. Anderson, Stephan Eismann, Risi Kondor, Russ B. Altman, Ron O. Dror
ATOM3D: Tasks On Molecules in Three Dimensions. CoRR (2020)