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Publications

The landscape of unfolding with machine learning
by 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,
SciPost Phys. 18, 070 (2025)
Inferring flavor mixtures in multijet events
by Ezequiel Alvarez, Yuling Yao,
SciPost Phys. Core 7, 076 (2024)
First-order transition in a model of prestige bias
by Brian Skinner,
SciPost Phys. 8, 030 (2020)
Deep-learning jets with uncertainties and more
by Sven Bollweg, Manuel Haussmann, Gregor Kasieczka, Michel Luchmann, Tilman Plehn, Jennifer Thompson,
SciPost Phys. 8, 006 (2020)
Constraining the SMEFT with Bayesian reweighting
by Samuel van Beek, Emanuele R. Nocera, Juan Rojo, Emma Slade,
SciPost Phys. 7, 070 (2019)
On model selection in cosmology
by Martin Kerscher, Jochen Weller,
SciPost Phys. Lect. Notes 9 (2019)
Improved pseudolikelihood regularization and decimation methods on non-linearly interacting systems with continuous variables
by Alessia Marruzzo, Payal Tyagi, Fabrizio Antenucci, Andrea Pagnani, Luca Leuzzi,
SciPost Phys. 5, 002 (2018)

Submissions (unpublished only)

Generative Unfolding with Distribution Mapping
by Anja Butter, Sascha Diefenbacher, Nathan Huetsch, Vinicius Mikuni, Benjamin Nachman, Sofia Palacios Schweitzer, Tilman Plehn
(submitted 2025-01-07 to SciPost Physics)

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