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Benjamin Nachman

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A Cautionary Tale of Decorrelating Theory Uncertainties

Sep 30, 2021
Aishik Ghosh, Benjamin Nachman

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New Methods and Datasets for Group Anomaly Detection From Fundamental Physics

Jul 06, 2021
Gregor Kasieczka, Benjamin Nachman, David Shih

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Latent Space Refinement for Deep Generative Models

Jun 01, 2021
Ramon Winterhalder, Marco Bellagente, Benjamin Nachman

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Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution

May 10, 2021
Anders Andreassen, Patrick T. Komiske, Eric M. Metodiev, Benjamin Nachman, Adi Suresh, Jesse Thaler

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Comparing Weak- and Unsupervised Methods for Resonant Anomaly Detection

Apr 05, 2021
Jack H. Collins, Pablo Martín-Ramiro, Benjamin Nachman, David Shih

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E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once

Feb 07, 2021
Benjamin Nachman, Jesse Thaler

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A Living Review of Machine Learning for Particle Physics

Feb 02, 2021
Matthew Feickert, Benjamin Nachman

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Beyond 4D Tracking: Using Cluster Shapes for Track Seeding

Dec 08, 2020
Patrick J. Fox, Shangqing Huang, Joshua Isaacson, Xiangyang Ju, Benjamin Nachman

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