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Michael Kagan

SLAC National Accelerator Laboratory, Menlo Park, CA, USA

Interpretable Uncertainty Quantification in AI for HEP


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

* Submitted to the Proceedings of the US Community Study on the Future of Particle Physics (Snowmass 2021) 

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


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

* 12 pages, 6 figures, 5 tables 

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


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


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

* contribution to Snowmass 2021 

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


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

* contribution to Snowmass 2021 

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Differentiable Matrix Elements with MadJax


Feb 28, 2022
Lukas Heinrich, Michael Kagan

* 6 pages, Proceedings of the 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2021) 

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End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data


Jul 07, 2021
Youssef S. G. Nashed, Frederic Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chuck Yoon, Daniel Ratner

* 13 pages, 4 figures 

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Image-Based Jet Analysis


Dec 18, 2020
Michael Kagan

* To appear in Artificial Intelligence for High Energy Physics, World Scientific Publishing 

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Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference


Nov 11, 2020
Maxime Vandegar, Michael Kagan, Antoine Wehenkel, Gilles Louppe


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