Weichi Yao

According to our database, Weichi Yao authored at least 9 papers between 2017 and 2026.

Collaborative distances:

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

2026

Goal-Oriented Influence-Maximizing Data Acquisition for Learning and Optimization.

Weichi Yao, Bianca Dumitrascu, Bryan R. Goldsmith, Yixin Wang

CoRR, February, 2026

2024

Towards fully covariant machine learning.

Soledad Villar, David W. Hogg, Weichi Yao, George A. Kevrekidis, Bernhard Schölkopf

Trans. Mach. Learn. Res., 2024

2023

Dimensionless machine learning: Imposing exact units equivariance.

Soledad Villar, Weichi Yao, David W. Hogg, Ben Blum-Smith, Bianca Dumitrascu

J. Mach. Learn. Res., 2023

The passive symmetries of machine learning.

Soledad Villar, David W. Hogg, Weichi Yao, George A. Kevrekidis, Bernhard Schölkopf

CoRR, 2023

2021

A simple equivariant machine learning method for dynamics based on scalars.

Weichi Yao, Kate Storey-Fisher, David W. Hogg, Soledad Villar

CoRR, 2021

Scalars are universal: Gauge-equivariant machine learning, structured like classical physics.

Soledad Villar, David W. Hogg, Kate Storey-Fisher, Weichi Yao, Ben Blum-Smith

CoRR, 2021

Scalars are universal: Equivariant machine learning, structured like classical physics.

Soledad Villar, David W. Hogg, Kate Storey-Fisher, Weichi Yao, Ben Blum-Smith

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Experimental performance of graph neural networks on random instances of max-cut.

Weichi Yao, Afonso S. Bandeira, Soledad Villar

CoRR, 2019

2017

YASS: Yet Another Spike Sorter.

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

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017