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Benjamin Nachman

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The Landscape of Unfolding with Machine Learning

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Apr 29, 2024
Nathan Huetsch, Javier Mariño Villadamigo, Alexander Shmakov, Sascha Diefenbacher, Vinicius Mikuni, Theo Heimel, Michael Fenton, Kevin Greif, Benjamin Nachman, Daniel Whiteson, Anja Butter, Tilman Plehn

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Unifying Simulation and Inference with Normalizing Flows

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Apr 29, 2024
Haoxing Du, Claudius Krause, Vinicius Mikuni, Benjamin Nachman, Ian Pang, David Shih

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Designing Observables for Measurements with Deep Learning

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Oct 12, 2023
Owen Long, Benjamin Nachman

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The Optimal use of Segmentation for Sampling Calorimeters

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Oct 02, 2023
Fernando Torales Acosta, Bishnu Karki, Piyush Karande, Aaron Angerami, Miguel Arratia, Kenneth Barish, Ryan Milton, Sebastián Morán, Benjamin Nachman, Anshuman Sinha

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Flows for Flows: Morphing one Dataset into another with Maximum Likelihood Estimation

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Sep 12, 2023
Tobias Golling, Samuel Klein, Radha Mastandrea, Benjamin Nachman, John Andrew Raine

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Improving Generative Model-based Unfolding with Schrödinger Bridges

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Aug 23, 2023
Sascha Diefenbacher, Guan-Horng Liu, Vinicius Mikuni, Benjamin Nachman, Weili Nie

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Comparison of Point Cloud and Image-based Models for Calorimeter Fast Simulation

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Jul 31, 2023
Fernando Torales Acosta, Vinicius Mikuni, Benjamin Nachman, Miguel Arratia, Bishnu Karki, Ryan Milton, Piyush Karande, Aaron Angerami

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High-dimensional and Permutation Invariant Anomaly Detection

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Jun 06, 2023
Vinicius Mikuni, Benjamin Nachman

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Learning Likelihood Ratios with Neural Network Classifiers

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May 17, 2023
Shahzar Rizvi, Mariel Pettee, Benjamin Nachman

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ELSA -- Enhanced latent spaces for improved collider simulations

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May 12, 2023
Benjamin Nachman, Ramon Winterhalder

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