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)

Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges. - Savannah Thais; Paolo Calafiura; Grigorios Chachamis; Gage DeZoort; Javier M. Duarte; Sanmay Ganguly; Michael Kagan; Daniel Murnane; Mark S. Neubauer; Kazuhiro Terao (CoRR, 2022)

Configurable calorimeter simulation for AI applications. - Anton Charkin-Gorbulin; Kyle Cranmer; Francesco Armando Di Bello; Etienne Dreyer; Sanmay Ganguly; Eilam Gross; Lukas Heinrich; Marumi Kado; Nilotpal Kakati; Patrick Rieck; Lorenzo Santi; Matteo Tusoni (Mach. Learn. Sci. Technol., 2023)

Set-conditional set generation for particle physics. - Nathalie Soybelman; Nilotpal Kakati; Lukas Heinrich; Francesco Armando Di Bello; Etienne Dreyer; Sanmay Ganguly; Eilam Gross; Marumi Kado; Jonathan Shlomi (Mach. Learn. Sci. Technol., 2023)