Elyssa F. Hofgard

According to our database, Elyssa F. Hofgard authored at least 5 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

To Augment or Not to Augment? Diagnosing Distributional Symmetry Breaking.

Hannah Lawrence, Elyssa F. Hofgard, Vasco Portilheiro, Yuxuan Chen, Tess E. Smidt, Robin Walters

CoRR, October, 2025

Implicit Augmentation from Distributional Symmetry in Turbulence Super-Resolution.

Julia Balla, Jeremiah Bailey, Ali Backour, Elyssa F. Hofgard, Tommi S. Jaakkola, Tess E. Smidt, Ryley McConkey

CoRR, September, 2025

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.

Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji

Found. Trends Mach. Learn., 2025

2024

Relaxed Equivariant Graph Neural Networks.

Elyssa F. Hofgard, Rui Wang, Robin Walters, Tess E. Smidt

CoRR, 2024

Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution.

Rui Wang, Elyssa F. Hofgard, Hang Gao, Robin Walters, Tess E. Smidt

Proceedings of the Forty-first International Conference on Machine Learning, 2024