Ben Blum-Smith

Publication Activity (10 Years)

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

Top Topics

Inductive Learning

Invariant Features

Machine Learning

Explanation Based Learning

Top Venues

J. Mach. Learn. Res.

Publications

Ben Blum-Smith, Ningyuan Huang, Marco Cuturi, Soledad Villar
Learning functions on symmetric matrices and point clouds via lightweight invariant features. CoRR (2024)
Wilson Gregory, David W. Hogg, Ben Blum-Smith, Maria Teresa Arias, Kaze W. K. Wong, Soledad Villar
GeometricImageNet: Extending convolutional neural networks to vector and tensor images. 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)
Ben Blum-Smith, Soledad Villar
Equivariant maps from invariant functions. 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)
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)
Ben Blum-Smith, Japheth Wood
Chords of an Ellipse, Lucas Polynomials, and Cubic Equations. Am. Math. Mon. 127 (8) (2020)
Afonso S. Bandeira, Ben Blum-Smith, Amelia Perry, Jonathan Weed, Alexander S. Wein
Estimation under group actions: recovering orbits from invariants. CoRR (2017)