FAIR AI models in high energy physics. - Javier M. Duarte; Haoyang Li 019; Avik Roy; Ruike Zhu; Eliu A. Huerta; Daniel Diaz 003; Philip C. Harris; Raghav Kansal; Daniel S. Katz; Ishaan H. Kavoori; Volodymyr V. Kindratenko; Farouk Mokhtar; et al. (Mach. Learn. Sci. Technol., 2023)

Reconstruction of boosted and resolved multi-Higgs-boson events with symmetry-preserving attention networks. - Haoyang Li 019; Marko Stamenkovic; Alexander Shmakov; Michael Fenton; Darius Shih-Chieh Chao; Kaitlyn Maiya White; Caden Mikkelsen; Jovan Mitic; Cristina Mantilla Suarez; Melissa Quinnan; Greg Landsberg; Harvey B. Newman; et al. (CoRR, 2024)

Learning Symmetry-Independent Jet Representations via Jet-Based Joint Embedding Predictive Architecture. - Subash Katel; Haoyang Li 019; Zihan Zhao; Raghav Kansal; Farouk Mokhtar; Javier M. Duarte (CoRR, 2024)

HHH, HH, and QCD events for boosted and resolved Higgs boson jet assignment. - Javier Mauricio Duarte; Haoyang Li 019; Marko Stamenkovic (Zenodo, 2024)

HHH, HH, and QCD events for boosted and resolved Higgs boson jet assignment. - Javier Mauricio Duarte; Haoyang Li 019; Marko Stamenkovic (Zenodo, 2024)

Building Machine Learning Challenges for Anomaly Detection in Science. - Elizabeth G. Campolongo; Yuan-Tang Chou; Ekaterina Govorkova; Wahid Bhimji; Wei-Lun Chao; Chris Harris; Shih-Chieh Hsu; Hilmar Lapp; Mark S. Neubauer; Josephine M. Namayanja; Aneesh Subramanian; Philip C. Harris; et al. (CoRR, 2025)