Jan T. Offermann

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 6

Top Topics

Particle Physics

Top Venues

Publications

Alexander Bogatskiy, Timothy Hoffman, Jan T. Offermann
19 Parameters Is All You Need: Tiny Neural Networks for Particle Physics. CoRR (2023)
Alexander Bogatskiy, Timothy Hoffman, David W. Miller, Jan T. Offermann, Xiaoyang Liu
Explainable Equivariant Neural Networks for Particle Physics: PELICAN. CoRR (2023)
Alexander Bogatskiy, Timothy Hoffman, David W. Miller, Jan T. Offermann
PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics. CoRR (2022)
Alexander Bogatskiy, Sanmay Ganguly, Thomas Kipf, Risi Kondor, David W. Miller, Daniel Murnane, Jan T. Offermann, Mariel Pettee, Phiala Shanahan, Chase Shimmin, Savannah Thais
Symmetry Group Equivariant Architectures for Physics. CoRR (2022)
Alexander Bogatskiy, Brandon M. Anderson, Jan T. Offermann, Marwah Roussi, David W. Miller, Risi Kondor
Lorentz Group Equivariant Neural Network for Particle Physics. CoRR (2020)
Alexander Bogatskiy, Brandon M. Anderson, Jan T. Offermann, Marwah Roussi, David W. Miller, Risi Kondor
Lorentz Group Equivariant Neural Network for Particle Physics. ICML (2020)