Generative Networks for Precision Enthusiasts

22 October 2021

Papers citing "Generative Networks for Precision Enthusiasts"

21 / 21 papers shown

Title
Extrapolating Jet Radiation with Autoregressive Transformers A. Butter François Charton Javier Marino Villadamigo Ayodele Ore Tilman Plehn Jonas Spinner 83 0 0 16 Dec 2024
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
PIPPIN: Generating variable length full events from partons Guillaume Quétant J. A. Raine Matthew Leigh Debajyoti Sengupta T. Golling 35 3 0 18 Jun 2024
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
Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics Jonas Spinner Victor Bresó P. D. Haan Tilman Plehn Jesse Thaler Johann Brehmer AI4CE 37 16 0 23 May 2024
The Landscape of Unfolding with Machine Learning Nathan Huetsch Javier Marino Villadamigo Alexander Shmakov S. Diefenbacher Vinicius Mikuni ... Kevin Greif Benjamin Nachman D. Whiteson A. Butter Tilman Plehn 43 17 0 29 Apr 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
Deep Generative Models for Detector Signature Simulation: A Taxonomic Review Baran Hashemi Claudius Krause 30 16 0 15 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 40 12 0 30 Nov 2023
CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation E. Buhmann F. Gaede Gregor Kasieczka A. Korol W. Korcari K. Krüger Peter McKeown DiffM 38 24 0 11 Sep 2023
Calorimeter shower superresolution Ian Pang J. A. Raine David Shih DiffM 33 8 0 22 Aug 2023
End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics Alexander Shmakov Kevin Greif M. Fenton A. Ghosh Pierre Baldi D. Whiteson DiffM 19 38 0 17 May 2023
ELSA -- Enhanced latent spaces for improved collider simulations Benjamin Nachman R. Winterhalder 16 14 0 12 May 2023
Generative Invertible Quantum Neural Networks Armand Rousselot M. Spannowsky BDL 18 9 0 24 Feb 2023
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
An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative training Mathias Backes A. Butter Monica Dunford B. Malaescu 11 26 0 16 Dec 2022
CaloFlow for CaloChallenge Dataset 1 Claudius Krause Ian Pang David Shih AI4CE 25 21 0 25 Oct 2022
New directions for surrogate models and differentiable programming for High Energy Physics detector simulation Andreas Adelmann W. Hopkins E. Kourlitis Michael Kagan Gregor Kasieczka ... David Shih Vinicius Mikuni Benjamin Nachman K. Pedro D. Winklehner 27 29 0 15 Mar 2022
Towards a Computer Vision Particle Flow F. Bello S. Ganguly Eilam Gross Marumi Kado M. Pitt Lorenzo Santi Jonathan Shlomi 94 49 0 19 Mar 2020
Cubic-Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios TPM 50 57 0 05 Jun 2019