Nathalie Soybelman

According to our database, Nathalie Soybelman authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Fast Calorimeter Simulation Challenge 2022 - Submissions Dataset 1 Pions.

Michele Faucci Giannelli, Gregor Kasieczka, Claudius Krause, Benjamin Nachman, Dalila Salamani, David Shih, Anna Zaborowska, Oz Amram, Florian Ernst, Anthony L. Caterini, Federico A. G. Corchia, Jesse C. Cresswell, Etienne Dreyer, Luigi Favaro, Matteo Franchini, Eilam Gross, Shih-Chieh Hsu, Taewoo Kim, Dmitrii Kobylianskii, Marco Letizia, Qibin Liu, Xiulong Liu, Gabriel Loaiza-Ganem, Ian Pang, Kevin Pedro, Tilman Plehn, Humberto Reyes-González, Lorenzo Rinaldi, Brendan Leigh Ross, Chase Shimmin, Eli Shlizerman, Shu Li, Nathalie Soybelman, Rui Zhang

Dataset, June, 2025

Fast Calorimeter Simulation Challenge 2022 - Submissions Dataset 1 Photons.

Michele Faucci Giannelli, Gregor Kasieczka, Claudius Krause, Benjamin Nachman, Dalila Salamani, David Shih, Anna Zaborowska, Oz Amram, Anthony L. Caterini, Federico A. G. Corchia, Jesse C. Cresswell, Etienne Dreyer, Florian Ernst, Luigi Favaro, Matteo Franchini, Eilam Gross, Shih-Chieh Hsu, Taewoo Kim, Dmitrii Kobylianskii, Marco Letizia, Qibin Liu, Xiulong Liu, Gabriel Loaiza-Ganem, Vinicius Mikuni, Ian Pang, Kevin Pedro, Tilman Plehn, Humberto Reyes-González, Lorenzo Rinaldi, Brendan Leigh Ross, Chase Shimmin, Eli Shlizerman, Shu Li, Nathalie Soybelman, Rui Zhang

Dataset, June, 2025

Self-supervised learning strategies for jet physics.

Patrick Rieck, Kyle Cranmer, Etienne Dreyer, Eilam Gross, Nilotpal Kakati, Dmitrii Kobylianskii, Garrett W. Merz, Nathalie Soybelman

Mach. Learn. Sci. Technol., 2025

2024

Accelerating graph-based tracking tasks with symbolic regression.

Nathalie Soybelman, Carlo Schiavi, Francesco Armando Di Bello, Eilam Gross

Mach. Learn. Sci. Technol., 2024

CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation.

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

CoRR, 2024

2023

Set-conditional set generation for particle physics.

Nathalie Soybelman, Nilotpal Kakati, Lukas Heinrich, Francesco Armando Di Bello, Etienne Dreyer, Sanmay Ganguly, Eilam Gross, Marumi Kado, Jonathan Shlomi

Mach. Learn. Sci. Technol., December, 2023