Reyes-Gonzalez, Humberto

1. CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds
   2022/11/23 by Jesse C. Cresswell, Brendan Leigh Ross, Cresswell, Jesse C. +9 · 13 citations
   Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Generative Adversarial Networks and Image Synthesis #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Instrumentation and Detectors (physics.ins-det) #Machine Learning (cs.LG) #Particle physics theoretical and experimental studies #Statistics and Probability (physics.data-an)
2. CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation
   2024/10/28 by Krause, Claudius, Giannelli, Michele Faucci, Kasieczka, Gregor +66 · 26 citations
   #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Instrumentation and Detectors (physics.ins-det) #Machine Learning (cs.LG)
3. Aspen Open Jets: Unlocking LHC Data for Foundation Models in Particle Physics
   2024/12/13 by Oz Amram, Amram, Oz, Luca Anzalone +17 · 1 voice · 7 citations
   Computer Science · Mathematics · #hep-ph #cs.LG #hep-ex #stat.ML
4. Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests
   2023/02/23 by A. Coccaro, Marco Letizia, Coccaro, Andrea +5 · 2 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Physical sciences #Generative Adversarial Networks and Image Synthesis #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
5. The NFLikelihood: an unsupervised DNNLikelihood from Normalizing Flows
   2023/09/18 by Reyes-Gonzalez, Humberto, Torre, Riccardo · 1 citation
   #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG)