Estimation under group actions: recovering orbits from invariants. - Afonso S. Bandeira; Ben Blum-Smith; Amelia Perry; Jonathan Weed; Alexander S. Wein (CoRR, 2017)

Chords of an Ellipse, Lucas Polynomials, and Cubic Equations. - Ben Blum-Smith; Japheth Wood (Am. Math. Mon., 2020)

Scalars are universal: Equivariant machine learning, structured like classical physics. - Soledad Villar; David W. Hogg; Kate Storey-Fisher; Weichi Yao; Ben Blum-Smith (NeurIPS, 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)

Equivariant maps from invariant functions. - Ben Blum-Smith; Soledad Villar (CoRR, 2022)

GeometricImageNet: Extending convolutional neural networks to vector and tensor images. - Wilson Gregory; David W. Hogg; Ben Blum-Smith; Maria Teresa Arias; Kaze W. K. Wong; Soledad Villar (CoRR, 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)

Learning functions on symmetric matrices and point clouds via lightweight invariant features. - Ben Blum-Smith; Ningyuan Huang; Marco Cuturi; Soledad Villar (CoRR, 2024)

Estimating the Euclidean distortion of an orbit space. - Ben Blum-Smith; Harm Derksen; Dustin G. Mixon; Yousef Qaddura; Brantley Vose (CoRR, 2025)