Deep Generative Models for Detector Signature Simulation: A Taxonomic Review

15 December 2023

Papers citing "Deep Generative Models for Detector Signature Simulation: A Taxonomic Review"

50 / 102 papers shown

Title
Deep Generative Models for Ultra-High Granularity Particle Physics Detector Simulation: A Voyage From Emulation to Extrapolation Baran Hashemi 30 2 0 05 Mar 2024
Synthesis of pulses from particle detectors with a Generative Adversarial Network (GAN) A. Regadío Luis Esteban S. Sánchez-Prieto GAN 57 2 0 10 Jan 2024
Fast Particle-based Anomaly Detection Algorithm with Variational Autoencoder Ryan Liu A. Gandrakota J. Ngadiuba M. Spiropulu J. Vlimant DRL 34 4 0 28 Nov 2023
Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data Yi Huang Yihui Ren Shinjae Yoo Jin-zhi Huang 34 4 0 23 Oct 2023
Branches of a Tree: Taking Derivatives of Programs with Discrete and Branching Randomness in High Energy Physics Michael Kagan Lukas Heinrich 50 9 0 31 Aug 2023
PC-Droid: Faster diffusion and improved quality for particle cloud generation Matthew Leigh Debasish Sengupta J. A. Raine Guillaume Quétant T. Golling DiffM 65 14 0 13 Jul 2023
Morse Neural Networks for Uncertainty Quantification Benoit Dherin Huiyi Hu Jie Jessie Ren Michael W. Dusenberry Balaji Lakshminarayanan UQCV AI4CE 34 4 0 02 Jul 2023
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization Xiner Li Shurui Gui Youzhi Luo Shuiwang Ji OODD OOD 65 13 0 13 Jun 2023
Attention to Mean-Fields for Particle Cloud Generation Benno Kach I. Melzer-Pellmann DiffM 42 15 0 24 May 2023
PE-GAN: Prior Embedding GAN for PXD images at Belle II Hosein Hashemi Nikolai Hartmann T. Kuhr M. Ritter Matej Srebre 36 4 0 01 Mar 2023
Generative Invertible Quantum Neural Networks Armand Rousselot M. Spannowsky BDL 36 9 0 24 Feb 2023
CaloFlow for CaloChallenge Dataset 1 Claudius Krause Ian Pang David Shih AI4CE 45 22 0 25 Oct 2022
Generative models uncertainty estimation Lucio Anderlini Constantine Chimpoesh N. Kazeev Agata Shishigina 17 4 0 18 Oct 2022
CaloDVAE : Discrete Variational Autoencoders for Fast Calorimeter Shower Simulation Abhishek Abhishek E. Drechsler W. Fedorko Bernd Stelzer 31 9 0 14 Oct 2022
Verifying the Union of Manifolds Hypothesis for Image Data Bradley Brown Anthony L. Caterini Brendan Leigh Ross Jesse C. Cresswell Gabriel Loaiza-Ganem 71 43 0 06 Jul 2022
Elucidating the Design Space of Diffusion-Based Generative Models Tero Karras M. Aittala Timo Aila S. Laine DiffM 169 1,967 0 01 Jun 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 365 6,854 0 13 Apr 2022
Graph Neural Networks are Dynamic Programmers Andrew Dudzik Petar Velickovic 75 63 0 29 Mar 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 48 30 0 15 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 257 30,123 0 01 Mar 2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Axel Sauer Katja Schwarz Andreas Geiger 249 509 0 01 Feb 2022
On the Statistical Complexity of Sample Amplification Brian Axelrod Shivam Garg Yanjun Han Vatsal Sharan Gregory Valiant 101 4 0 12 Jan 2022
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs Zhisheng Xiao Karsten Kreis Arash Vahdat DiffM 87 551 0 15 Dec 2021
Autoencoders for Semivisible Jet Detection F. Canelli A. de Cosa L. Le Pottier J. Niedziela K. Pedro M. Pierini 49 34 0 06 Dec 2021
Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance S. Tsan Raghav Kansal Anthony Aportela Daniel Madrigal Diaz Javier Mauricio Duarte S. Krishna Farouk Mokhtar J. Vlimant M. Pierini 57 20 0 24 Nov 2021
Online-compatible Unsupervised Non-resonant Anomaly Detection Vinicius Mikuni Benjamin Nachman David Shih 54 35 0 11 Nov 2021
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder Yi Huang Yihui Ren Shinjae Yoo Jin-zhi Huang 33 10 0 09 Nov 2021
CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing Flows Claudius Krause David Shih 62 64 0 21 Oct 2021
Learning in High Dimension Always Amounts to Extrapolation Randall Balestriero J. Pesenti Yann LeCun 108 104 0 18 Oct 2021
Challenges for Unsupervised Anomaly Detection in Particle Physics Katherine Fraser S. Homiller Rashmish K. Mishra B. Ostdiek M. Schwartz DRL 51 44 0 13 Oct 2021
An Exploration of Learnt Representations of W Jets J. Collins DRL 51 13 0 22 Sep 2021
Photon detection probability prediction using one-dimensional generative neural network W. Mu A. Himmel B. Ramson 25 5 0 11 Sep 2021
Differentiable Annealed Importance Sampling and the Perils of Gradient Noise Guodong Zhang Kyle Hsu Jianing Li Chelsea Finn Roger C. Grosse 59 40 0 21 Jul 2021
Deep Extrapolation for Attribute-Enhanced Generation Alvin Chan Ali Madani Ben Krause Nikhil Naik 61 26 0 07 Jul 2021
Diffusion Priors In Variational Autoencoders Antoine Wehenkel Gilles Louppe DiffM 40 23 0 29 Jun 2021
Particle Cloud Generation with Message Passing Generative Adversarial Networks Raghav Kansal Javier Mauricio Duarte Haoran Su B. Orzari T. Tomei M. Pierini M. Touranakou J. Vlimant Dimitrios Gunopulos 43 75 0 22 Jun 2021
Nested Variational Inference Heiko Zimmermann Hao Wu Babak Esmaeili Jan-Willem van de Meent BDL 55 21 0 21 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 47 681 0 10 Jun 2021
CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows Claudius Krause David Shih AI4CE 75 81 0 09 Jun 2021
Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling Valentin De Bortoli James Thornton J. Heng Arnaud Doucet DiffM OT 96 465 0 01 Jun 2021
Autoencoders for unsupervised anomaly detection in high energy physics Thorben Finke Michael Krämer A. Morandini A. Mück I. Oleksiyuk 43 84 0 19 Apr 2021
Better Latent Spaces for Better Autoencoders B. Dillon Tilman Plehn C. Sauer P. Sorrenson BDL DRL 42 55 0 16 Apr 2021
Skillful Precipitation Nowcasting using Deep Generative Models of Radar Suman V. Ravuri Karel Lenc Matthew Willson D. Kangin Rémi R. Lam ... R. Hadsell Nial H. Robinson Ellen Clancy A. Arribas S. Mohamed AI4Cl 173 737 0 02 Apr 2021
Symmetry meets AI G. Barenboim J. Hirn V. Sanz 39 22 0 10 Mar 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 319 3,675 0 18 Feb 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 323 6,444 0 26 Nov 2020
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation Xinge Zhu Hui Zhou Tai Wang Fangzhou Hong Yuexin Ma Wei Li Hongsheng Li Dahua Lin 3DPC 59 537 0 19 Nov 2020
Anomaly Detection With Conditional Variational Autoencoders Adrian Alan Pol Victor Berger G. Cerminara Cécile Germain M. Pierini CML DRL 39 112 0 12 Oct 2020
GANplifying Event Samples A. Butter S. Diefenbacher Gregor Kasieczka Benjamin Nachman Tilman Plehn GAN 42 72 0 14 Aug 2020
Natural Graph Networks P. D. Haan Taco S. Cohen Max Welling GNN 55 44 0 16 Jul 2020