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Michael Kagan

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SLAC National Accelerator Laboratory, Menlo Park, CA, USA

Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models

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Mar 11, 2024
Philip Harris, Michael Kagan, Jeffrey Krupa, Benedikt Maier, Nathaniel Woodward

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Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models

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Jan 25, 2024
Lukas Heinrich, Tobias Golling, Michael Kagan, Samuel Klein, Matthew Leigh, Margarita Osadchy, John Andrew Raine

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Differentiable Vertex Fitting for Jet Flavour Tagging

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Oct 19, 2023
Rachel E. C. Smith, Inês Ochoa, Rúben Inácio, Jonathan Shoemaker, Michael Kagan

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Branches of a Tree: Taking Derivatives of Programs with Discrete and Branching Randomness in High Energy Physics

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Aug 31, 2023
Michael Kagan, Lukas Heinrich

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Interpretable Uncertainty Quantification in AI for HEP

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Aug 08, 2022
Thomas Y. Chen, Biprateep Dey, Aishik Ghosh, Michael Kagan, Brian Nord, Nesar Ramachandra

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Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml

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Jul 01, 2022
Elham E Khoda, Dylan Rankin, Rafael Teixeira de Lima, Philip Harris, Scott Hauck, Shih-Chieh Hsu, Michael Kagan, Vladimir Loncar, Chaitanya Paikara, Richa Rao, Sioni Summers, Caterina Vernieri, Aaron Wang

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Novel Light Field Imaging Device with Enhanced Light Collection for Cold Atom Clouds

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May 23, 2022
Sanha Cheong, Josef C. Frisch, Sean Gasiorowski, Jason M. Hogan, Michael Kagan, Murtaza Safdari, Ariel Schwartzman, Maxime Vandegar

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Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges

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Mar 25, 2022
Savannah Thais, Paolo Calafiura, Grigorios Chachamis, Gage DeZoort, Javier Duarte, Sanmay Ganguly, Michael Kagan, Daniel Murnane, Mark S. Neubauer, Kazuhiro Terao

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New directions for surrogate models and differentiable programming for High Energy Physics detector simulation

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Mar 15, 2022
Andreas Adelmann, Walter Hopkins, Evangelos Kourlitis, Michael Kagan, Gregor Kasieczka, Claudius Krause, David Shih, Vinicius Mikuni, Benjamin Nachman, Kevin Pedro, Daniel Winklehner

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Differentiable Matrix Elements with MadJax

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Feb 28, 2022
Lukas Heinrich, Michael Kagan

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