Lorentz Group Equivariant Neural Network for Particle Physics. - Alexander Bogatskiy; Brandon M. Anderson; Jan T. Offermann; Marwah Roussi; David W. Miller; Risi Kondor (ICML, 2020)

Symmetry Group Equivariant Architectures for Physics. - Alexander Bogatskiy; Sanmay Ganguly; Thomas Kipf; Risi Kondor; David W. Miller; Daniel Murnane; Jan T. Offermann; Mariel Pettee; Phiala E. Shanahan; Chase Shimmin; Savannah Thais (CoRR, 2022)

PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics. - Alexander Bogatskiy; Timothy Hoffman; David W. Miller; Jan T. Offermann (CoRR, 2022)

Explainable Equivariant Neural Networks for Particle Physics: PELICAN. - Alexander Bogatskiy; Timothy Hoffman; David W. Miller; Jan T. Offermann; Xiaoyang Liu (CoRR, 2023)

19 Parameters Is All You Need: Tiny Neural Networks for Particle Physics. - Alexander Bogatskiy; Timothy Hoffman; Jan T. Offermann (CoRR, 2023)