A FAIR and AI-ready Higgs Boson Decay Dataset. - Yifan Chen; Eliu A. Huerta; Javier M. Duarte; Philip C. Harris; Daniel S. Katz; Mark S. Neubauer; Daniel Diaz 003; Farouk Mokhtar; Raghav Kansal; Sang Eon Park; Volodymyr V. Kindratenko; Zhizhen Zhao 001; et al. (CoRR, 2021)

Applications and Techniques for Fast Machine Learning in Science. - Allison McCarn Deiana; Nhan Tran; Joshua Agar; Michaela Blott; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Scott Hauck; Mia Liu; Mark S. Neubauer; Jennifer Ngadiuba; Seda Ogrenci Memik; et al. (CoRR, 2021)

Explaining machine-learned particle-flow reconstruction. - Farouk Mokhtar; Raghav Kansal; Daniel Diaz 003; Javier M. Duarte; Joosep Pata; Maurizio Pierini; Jean-Roch Vlimant (CoRR, 2021)

Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance. - Steven Tsan; Raghav Kansal; Anthony Aportela; Daniel Diaz 003; Javier M. Duarte; Sukanya Krishna; Farouk Mokhtar; Jean-Roch Vlimant; Maurizio Pierini (CoRR, 2021)

Machine Learning for Particle Flow Reconstruction at CMS. - Joosep Pata; Javier M. Duarte; Farouk Mokhtar; Eric Wulff; Jieun Yoo; Jean-Roch Vlimant; Maurizio Pierini; Maria Girone (CoRR, 2022)

Do graph neural networks learn traditional jet substructure? - Farouk Mokhtar; Raghav Kansal; Javier M. Duarte (CoRR, 2022)

Progress towards an improved particle flow algorithm at CMS with machine learning. - Farouk Mokhtar; Joosep Pata; Javier M. Duarte; Eric Wulff; Maurizio Pierini; Jean-Roch Vlimant (CoRR, 2023)

Scalable neural network models and terascale datasets for particle-flow reconstruction. - Joosep Pata; Eric Wulff; Farouk Mokhtar; David Southwick; Mengke Zhang; Maria Girone; Javier M. Duarte (CoRR, 2023)

FAIR AI models in high energy physics. - Javier M. Duarte; Haoyang Li; 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)

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

Fine-tuning machine-learned particle-flow reconstruction for new detector geometries in future colliders. - Farouk Mokhtar; Joosep Pata; Dolores Garcia; Eric Wulff; Mengke Zhang; Michael Kagan; Javier M. Duarte (CoRR, 2025)

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)

Recent results on searches with boosted Higgs bosons at CMS. - Farouk Mokhtar (CoRR, 2025)