Weichi Yao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 9

Top Topics

Machine Learning

Neuronal Networks

Top Venues

J. Mach. Learn. Res.

Trans. Mach. Learn. Res.

Publications

Soledad Villar, David W. Hogg, Weichi Yao, George A. Kevrekidis, Bernhard Schölkopf
Towards fully covariant machine learning. Trans. Mach. Learn. Res. 2024 (2024)
Soledad Villar, David W. Hogg, Weichi Yao, George A. Kevrekidis, Bernhard Schölkopf
The passive symmetries of machine learning. CoRR (2023)
Soledad Villar, Weichi Yao, David W. Hogg, Ben Blum-Smith, Bianca Dumitrascu
Dimensionless machine learning: Imposing exact units equivariance. J. Mach. Learn. Res. 24 (2023)
Soledad Villar, Weichi Yao, David W. Hogg, Ben Blum-Smith, Bianca Dumitrascu
Dimensionless machine learning: Imposing exact units equivariance. CoRR (2022)
Soledad Villar, David W. Hogg, Kate Storey-Fisher, Weichi Yao, Ben Blum-Smith
Scalars are universal: Equivariant machine learning, structured like classical physics. NeurIPS (2021)
Weichi Yao, Kate Storey-Fisher, David W. Hogg, Soledad Villar
A simple equivariant machine learning method for dynamics based on scalars. CoRR (2021)
Soledad Villar, David W. Hogg, Kate Storey-Fisher, Weichi Yao, Ben Blum-Smith
Scalars are universal: Gauge-equivariant machine learning, structured like classical physics. CoRR (2021)
Weichi Yao, Afonso S. Bandeira, Soledad Villar
Experimental performance of graph neural networks on random instances of max-cut. CoRR (2019)
Jin Hyung Lee, David E. Carlson, Hooshmand Shokri Razaghi, Weichi Yao, Georges A. Goetz, Espen Hagen, Eleanor Batty, E. J. Chichilnisky, Gaute T. Einevoll, Liam Paninski
YASS: Yet Another Spike Sorter. NIPS (2017)