Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multi-Layer Calorimeters

5 May 2017

Papers citing "Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multi-Layer Calorimeters"

31 / 31 papers shown

Title
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning Sanghwan Bae Jiwoo Hong Min Young Lee Hanbyul Kim Jeongyeon Nam Donghyun Kwak OffRL LRM 58 4 0 04 Apr 2025
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space Tigran Ramazyan M. Hushchyn D. Derkach 38 0 0 16 Jul 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 38 6 0 30 May 2024
Unifying Simulation and Inference with Normalizing Flows Haoxing Du Claudius Krause Vinicius Mikuni Benjamin Nachman Ian Pang David Shih 44 3 0 29 Apr 2024
Synthesis of pulses from particle detectors with a Generative Adversarial Network (GAN) A. Regadío Luis Esteban S. Sánchez-Prieto GAN 42 2 0 10 Jan 2024
PC-Droid: Faster diffusion and improved quality for particle cloud generation Matthew Leigh Debasish Sengupta J. A. Raine Guillaume Quétant T. Golling DiffM 46 14 0 13 Jul 2023
Inductive Simulation of Calorimeter Showers with Normalizing Flows M. Buckley Claudius Krause Ian Pang David Shih AI4CE 24 22 0 19 May 2023
Lorentz group equivariant autoencoders Zichun Hao Raghav Kansal Javier Mauricio Duarte N. Chernyavskaya BDL DRL AI4CE 26 24 0 14 Dec 2022
Can denoising diffusion probabilistic models generate realistic astrophysical fields? N. Mudur D. Finkbeiner DiffM 24 15 0 22 Nov 2022
Data Science and Machine Learning in Education G. Benelli Thomas Y. Chen Javier Mauricio Duarte Matthew Feickert Matthew Graham ... K. Terao S. Thais A. Roy J. Vlimant G. Chachamis AI4CE 30 5 0 19 Jul 2022
Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders M. Touranakou N. Chernyavskaya Javier Mauricio Duarte Dimitrios Gunopulos Raghav Kansal B. Orzari M. Pierini T. Tomei J. Vlimant 17 18 0 01 Mar 2022
Generative Networks for Precision Enthusiasts A. Butter Theo Heimel Sander Hummerich Tobias Krebs Tilman Plehn Armand Rousselot Sophia Vent AI4CE 21 59 0 22 Oct 2021
CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing Flows Claudius Krause David Shih 42 64 0 21 Oct 2021
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows Claudius Krause David Shih AI4CE 34 81 0 09 Jun 2021
Latent Space Refinement for Deep Generative Models R. Winterhalder Marco Bellagente Benjamin Nachman BDL GAN DRL DiffM 12 27 0 01 Jun 2021
Understanding Event-Generation Networks via Uncertainties Marco Bellagente Manuel Haussmann Michel Luchmann Tilman Plehn BDL 41 55 0 09 Apr 2021
Graph Generative Models for Fast Detector Simulations in High Energy Physics A. Hariri Darya Dyachkova Sergei Gleyzer AI4CE 24 6 0 05 Apr 2021
A Living Review of Machine Learning for Particle Physics Matthew Feickert Benjamin Nachman KELM AI4CE 31 178 0 02 Feb 2021
Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics Raghav Kansal Javier Mauricio Duarte B. Orzari T. Tomei M. Pierini M. Touranakou J. Vlimant Dimitrios Gunopoulos GAN 26 24 0 30 Nov 2020
Probabilistic Autoencoder Vanessa Böhm U. Seljak UQCV BDL DRL 24 32 0 09 Jun 2020
Pores for thought: The use of generative adversarial networks for the stochastic reconstruction of 3D multi-phase electrode microstructures with periodic boundaries Andrea Gayon-Lombardo L. Mosser N. Brandon S. J. Cooper AI4CE 25 120 0 17 Feb 2020
Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN) Yasir Alanazi Nobuo Sato Tianbo Liu W. Melnitchouk P. Ambrozewicz ... E. Pritchard M. Robertson R. Strauss L. Velasco Yaohang Li GAN 32 63 0 29 Jan 2020
How to GAN away Detector Effects Marco Bellagente A. Butter Gregor Kasieczka Tilman Plehn R. Winterhalder GAN 21 86 0 01 Dec 2019
Tackling Climate Change with Machine Learning David Rolnick P. Donti L. Kaack K. Kochanski Alexandre Lacoste ... Demis Hassabis John C. Platt F. Creutzig J. Chayes Yoshua Bengio AI4Cl AI4CE 35 786 0 10 Jun 2019
Cherenkov Detectors Fast Simulation Using Neural Networks D. Derkach N. Kazeev Fedor Ratnikov Andrey Ustyuzhanin Alexandra Volokhova 19 28 0 28 Mar 2019
Generative Models for Fast Calorimeter Simulation.LHCb case V. Chekalina Elena Orlova Fedor Ratnikov Dmitry Ulyanov Andrey Ustyuzhanin Egor Zakharov AI4CE 24 68 0 04 Dec 2018
Energy Flow Networks: Deep Sets for Particle Jets Patrick T. Komiske E. Metodiev Jesse Thaler PINN 3DPC 31 251 0 11 Oct 2018
Fast inference of deep neural networks in FPGAs for particle physics Javier Mauricio Duarte Song Han Philip C. Harris S. Jindariani E. Kreinar ... J. Ngadiuba M. Pierini R. Rivera N. Tran Zhenbin Wu AI4CE 88 388 0 16 Apr 2018
Neural networks for topology optimization Ivan Sosnovik Ivan Oseledets 25 253 0 27 Sep 2017
CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks M. Mustafa Deborah Bard W. Bhimji Z. Lukić Rami Al-Rfou J. Kratochvil GAN 21 123 0 07 Jun 2017
Theory-guided Data Science: A New Paradigm for Scientific Discovery from Data Anuj Karpatne G. Atluri James H. Faghmous M. Steinbach A. Banerjee A. Ganguly Shashi Shekhar N. Samatova Vipin Kumar AI4CE 16 972 0 27 Dec 2016