An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative training

16 December 2022

Papers citing "An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative training"

7 / 7 papers shown

Title
Generative Unfolding with Distribution Mapping A. Butter S. Diefenbacher Nathan Huetsch Vinicius Mikuni Benjamin Nachman Sofia Palacios Schweitzer Tilman Plehn DiffM 41 1 0 04 Nov 2024
Unifying Simulation and Inference with Normalizing Flows Haoxing Du Claudius Krause Vinicius Mikuni Benjamin Nachman Ian Pang David Shih 42 3 0 29 Apr 2024
Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion Alexander Shmakov Kevin Greif M. Fenton A. Ghosh Pierre Baldi D. Whiteson DiffM 122 9 0 22 Apr 2024
Comparative Study of Coupling and Autoregressive Flows through Robust Statistical Tests A. Coccaro Marco Letizia H. Reyes-González Riccardo Torre OOD 40 5 0 23 Feb 2023
Unbinned Profiled Unfolding Jay Chan Benjamin Nachman 24 7 0 10 Feb 2023
Cubic-Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios TPM 53 57 0 05 Jun 2019
Machine learning approach to inverse problem and unfolding procedure N. Gagunashvili 43 20 0 12 Apr 2010