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Sascha Diefenbacher
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2020 – today
- 2024
- [i6]Nathan Huetsch, Javier Mariño Villadamigo, Alexander Shmakov, Sascha Diefenbacher, Vinicius Mikuni, Theo Heimel, Michael James Fenton, Kevin Greif, Benjamin Nachman, Daniel Whiteson, Anja Butter, Tilman Plehn:
The Landscape of Unfolding with Machine Learning. CoRR abs/2404.18807 (2024) - [i5]Sebastian Bieringer, Sascha Diefenbacher, Gregor Kasieczka, Mathias Trabs:
Calibrating Bayesian Generative Machine Learning for Bayesiamplification. CoRR abs/2408.00838 (2024) - [i4]Wahid Bhimji, Paolo Calafiura, Ragansu Chakkappai, Yuan-Tang Chou, Sascha Diefenbacher, Jordan Dudley, Steven Farrell, Aishik Ghosh, Isabelle Guyon, Chris Harris, Shih-Chieh Hsu, Elham E Khoda, Rémy Lyscar, Alexandre Michon, Benjamin Nachman, Peter Nugent, Mathis Reymond, David Rousseau, Benjamin Sluijter, Benjamin Thorne, Ihsan Ullah, Yulei Zhang:
FAIR Universe HiggsML Uncertainty Challenge Competition. CoRR abs/2410.02867 (2024) - [i3]Claudius Krause, Michele Faucci Giannelli, Gregor Kasieczka, Benjamin Nachman, Dalila Salamani, David Shih, Anna Zaborowska, Oz Amram, Kerstin Borras, Matthew R. Buckley, Erik Buhmann, Thorsten Buss, Renato Paulo Da Costa Cardoso, Anthony L. Caterini, Nadezda Chernyavskaya, Federico A. G. Corchia, Jesse C. Cresswell, Sascha Diefenbacher, Etienne Dreyer, Vijay Ekambaram, Engin Eren, Florian Ernst, Luigi Favaro, Matteo Franchini, Frank Gaede, Eilam Gross, Shih-Chieh Hsu, Kristina Jaruskova, Benno Käch, Jayant Kalagnanam, Raghav Kansal, Taewoo Kim, Dmitrii Kobylianskii, Anatolii Korol, William Korcari, Dirk Krücker, Katja Krüger, Marco Letizia, Shu Li, Qibin Liu, Xiulong Liu, Gabriel Loaiza-Ganem, Thandikire Madula, Peter McKeown, Isabell-A. Melzer-Pellmann, Vinicius Mikuni, Nam Nguyen, Ayodele Ore, Sofia Palacios Schweitzer, Ian Pang, Kevin Pedro, Tilman Plehn, Witold Pokorski, Huilin Qu, Piyush Raikwar, John A. Raine, Humberto Reyes-González, Lorenzo Rinaldi, Brendan Leigh Ross, Moritz A. W. Scham, Simon Schnake, Chase Shimmin, Eli Shlizerman, Nathalie Soybelman, Mudhakar Srivatsa, Kalliopi Tsolaki, Sofia Vallecorsa, Kyongmin Yeo, Rui Zhang:
CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation. CoRR abs/2410.21611 (2024) - 2023
- [j3]Sascha Diefenbacher
, Engin Eren
New angles on fast calorimeter shower simulation. Mach. Learn. Sci. Technol. 4(3): 35044 (2023) - [i2]Erik Buhmann, Sascha Diefenbacher, Engin Eren
CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation. CoRR abs/2305.04847 (2023) - [i1]Sascha Diefenbacher, Guan-Horng Liu, Vinicius Mikuni, Benjamin Nachman, Weili Nie:
Improving Generative Model-based Unfolding with Schrödinger Bridges. CoRR abs/2308.12351 (2023) - 2022
- [j2]Erik Buhmann, Sascha Diefenbacher
Hadrons, better, faster, stronger. Mach. Learn. Sci. Technol. 3(2): 25014 (2022) - 2021
- [j1]Erik Buhmann, Sascha Diefenbacher
Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed. Comput. Softw. Big Sci. 5(1) (2021)
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