Tess Smidt

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 9

Top Topics

Graph Partitioning

Top Venues

Publications

Mario Geiger, Tess Smidt
e3nn: Euclidean Neural Networks. CoRR (2022)
Yi-Lun Liao, Tess Smidt
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs. CoRR (2022)
Ameya Daigavane, Arthur Kosmala, Miles D. Cranmer, Tess Smidt, Shirley Ho
Learning Integrable Dynamics with Action-Angle Networks. CoRR (2022)
Derek Lim, Joshua Robinson, Lingxiao Zhao, Tess Smidt, Suvrit Sra, Haggai Maron, Stefanie Jegelka
Sign and Basis Invariant Networks for Spectral Graph Representation Learning. CoRR (2022)
Wujie Wang, Minkai Xu, Chen Cai, Benjamin Kurt Miller, Tess Smidt, Yusu Wang, Jian Tang, Rafael Gómez-Bombarelli
Generative Coarse-Graining of Molecular Conformations. CoRR (2022)
Alice Gatti, Zhixiong Hu, Tess Smidt, Esmond G. Ng, Pieter Ghysels
Deep Learning and Spectral Embedding for Graph Partitioning. CoRR (2021)
Alice Gatti, Zhixiong Hu, Pieter Ghysels, Esmond G. Ng, Tess Smidt
Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning. CoRR (2021)
Oliver T. Unke, Mihail Bogojeski, Michael Gastegger, Mario Geiger, Tess Smidt, Klaus-Robert Müller
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities. NeurIPS (2021)
Nathaniel Thomas, Tess Smidt, Steven M. Kearnes, Lusann Yang, Li Li, Kai Kohlhoff, Patrick Riley
Tensor Field Networks: Rotation- and Translation-Equivariant Neural Networks for 3D Point Clouds. CoRR (2018)