Evaluating generative models in high energy physics

Evaluating generative models in high energy physics

18 November 2022

Raghav Kansal

Javier Mauricio Duarte

N. Chernyavskaya

Papers citing "Evaluating generative models in high energy physics"

6 / 6 papers shown

Title
Convolutional L2LFlows: Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows Thorsten Buss F. Gaede Gregor Kasieczka Claudius Krause David Shih AI4CE 36 6 0 30 May 2024
Induced Generative Adversarial Particle Transformers Anni Li Venkat Krishnamohan Raghav Kansal Rounak Sen S. Tsan Zhaoyu Zhang Javier Mauricio Duarte 36 1 0 08 Dec 2023
Flow Matching Beyond Kinematics: Generating Jets with Particle-ID and Trajectory Displacement Information Joschka Birk E. Buhmann Cedric Ewen Gregor Kasieczka David Shih 35 12 0 30 Nov 2023
Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHC Rohan Shenoy Javier Mauricio Duarte C. Herwig J. Hirschauer D. Noonan M. Pierini Nhan Tran C. Suarez 25 1 0 07 Jun 2023
Score-based Generative Models for Calorimeter Shower Simulation Vinicius Mikuni Benjamin Nachman DiffM 35 75 0 17 Jun 2022
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 78 390 0 20 Oct 2016