Muon Trigger for Mobile Phones. - Maxim Borisyak; Michail Usvyatsov; Michael Mulhearn; Chase Shimmin; Andrey Ustyuzhanin (CoRR, 2017)

Beyond Imitation: Generative and Variational Choreography via Machine Learning. - Mariel Pettee; Chase Shimmin; Douglas Duhaime; Ilya Vidrin (ICCC, 2019)

AI Safety for High Energy Physics. - Benjamin Nachman; Chase Shimmin (CoRR, 2019)

Particle Convolution for High Energy Physics. - Chase Shimmin (CoRR, 2021)

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)

Rethinking SO(3)-equivariance with Bilinear Tensor Networks. - Chase Shimmin; Zhelun Li; Ema Smith (CoRR, 2023)

Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation. - Qibin Liu; Chase Shimmin; Xiulong Liu; Eli Shlizerman; Shu Li; Shih-Chieh Hsu (CoRR, 2024)

CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation. - Claudius Krause; Michele Faucci Giannelli; Gregor Kasieczka; Benjamin Nachman; Dalila Salamani; David Shih; Anna Zaborowska; Oz Amram; Kerstin Borras; Matthew R. Buckley; Erik Buhmann; Thorsten Buss; et al. (CoRR, 2024)

On the Evaluation of Engineering Artificial General Intelligence. - Sandeep Neema; Susmit Jha; Adam Nagel; Ethan Lew; Chandrasekar Sureshkumar; Aleksa Gordic; Chase Shimmin; Hieu Nguygen; Paul Eremenko (CoRR, 2025)