Humberto Reyes-González

According to our database, Humberto Reyes-González authored at least 14 papers between 2020 and 2026.

Collaborative distances:

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

2026

Neural Scaling Laws for Jet Generation.

Oz Amram, Darius A. Faroughy, Tjarko Gerdes, Anna Hallin, Gregor Kasieczka, Michael Krämer, Humberto Reyes-González, David Shih

CoRR, May, 2026

Aspen Open Jets: Monte Carlo.

Oz Amram, Luca Anzalone, Joschka Birk, Darius A. Faroughy, Anna Hallin, Gregor Kasieczka, Michael Krämer, Ian Pang, Humberto Reyes-González, David Shih

Dataset, April, 2026

2025

Learning to Validate Generative Models: a Goodness-of-Fit Approach.

Pietro Cappelli, Gaia Grosso, Marco Letizia, Humberto Reyes-González, Marco Zanetti

CoRR, November, 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

Aspen Open Jets: unlocking LHC data for foundation models in particle physics.

Oz Amram, Luca Anzalone, Joschka Birk, Darius A. Faroughy, Anna Hallin, Gregor Kasieczka, Michael Krämer, Ian Pang, Humberto Reyes-González, David Shih

Mach. Learn. Sci. Technol., 2025

2024

Aspen Open Jets: a real-world ML-ready dataset for jet physics.

Oz Amram, Luca Anzalone, Joschka Birk, Darius A. Faroughy, Anna Hallin, Gregor Kasieczka, Michael Krämer, Ian Pang, Humberto Reyes-González, David Shih

Dataset, December, 2024

Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests.

Andrea Coccaro, Marco Letizia, Humberto Reyes-González, Riccardo Torre

Symmetry, August, 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

The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows.

Humberto Reyes-González, Riccardo Torre

CoRR, 2023

On the curse of dimensionality for Normalizing Flows.

Andrea Coccaro, Marco Letizia, Humberto Reyes-González, Riccardo Torre

CoRR, 2023

2022

CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds.

Jesse C. Cresswell, Brendan Leigh Ross, Gabriel Loaiza-Ganem, Humberto Reyes-González, Marco Letizia, Anthony L. Caterini

CoRR, 2022

Testing the boundaries: Normalizing Flows for higher dimensional data sets.

Humberto Reyes-González, Riccardo Torre

CoRR, 2022

2020

SModelS v1.2: Long-lived particles, combination of signal regions, and other novelties.

Federico Ambrogi, Juhi Dutta, Jan Heisig, Sabine Kraml, Suchita Kulkarni, Ursula Laa, Andre Lessa, Philipp Neuhuber, Humberto Reyes-González, Wolfgang Waltenberger, Matthias Wolf

Comput. Phys. Commun., 2020