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
Variational Autoencoders for Anomalous Jet Tagging Taoli Cheng J. Arguin Julien Leissner-Martin Jacinthe Pilette T. Golling CML BDL DRL 40 78 0 03 Jul 2020
Object-Centric Learning with Slot Attention Francesco Locatello Dirk Weissenborn Thomas Unterthiner Aravindh Mahendran G. Heigold Jakob Uszkoreit Alexey Dosovitskiy Thomas Kipf OCL 214 845 0 26 Jun 2020
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression Rianne van den Berg A. Gritsenko Mostafa Dehghani C. Sønderby Tim Salimans 57 60 0 22 Jun 2020
End-to-end Sinkhorn Autoencoder with Noise Generator Kamil Deja Jan Dubiñski Piotr W. Nowak S. Wenzel Tomasz Trzciñski SyDa 47 22 0 11 Jun 2020
Adversarially Learned Anomaly Detection on CMS Open Data: re-discovering the top quark Oliver Knapp Guenther Dissertori O. Cerri Thong Q. Nguyen J. Vlimant M. Pierini 45 67 0 04 May 2020
TraDE: Transformers for Density Estimation Rasool Fakoor Pratik Chaudhari Jonas W. Mueller Alex Smola 62 30 0 06 Apr 2020
Flows for simultaneous manifold learning and density estimation Johann Brehmer Kyle Cranmer DRL AI4CE 84 162 0 31 Mar 2020
Anomaly Detection with Density Estimation Benjamin Nachman David Shih 41 219 0 14 Jan 2020
How to GAN away Detector Effects Marco Bellagente A. Butter Gregor Kasieczka Tilman Plehn R. Winterhalder GAN 38 87 0 01 Dec 2019
DeepRICH: Learning Deeply Cherenkov Detectors C. Fanelli Jary Pomponi 38 24 0 26 Nov 2019
Effectively Unbiased FID and Inception Score and where to find them Min Jin Chong David A. Forsyth EGVM 66 203 0 16 Nov 2019
Efficient Graph Generation with Graph Recurrent Attention Networks Renjie Liao Yujia Li Yang Song Shenlong Wang C. Nash William L. Hamilton David Duvenaud R. Urtasun R. Zemel GNN 127 334 0 02 Oct 2019
Neural Networks for Full Phase-space Reweighting and Parameter Tuning Anders Andreassen Benjamin Nachman 41 88 0 18 Jul 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 226 3,893 0 12 Jul 2019
Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit Belinda Tzen Maxim Raginsky DiffM 164 209 0 23 May 2019
Integer Discrete Flows and Lossless Compression Emiel Hoogeboom Jorn W. T. Peters Rianne van den Berg Max Welling 99 159 0 17 May 2019
Sample Amplification: Increasing Dataset Size even when Learning is Impossible Brian Axelrod Shivam Garg Vatsal Sharan Gregory Valiant 46 14 0 26 Apr 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 547 10,551 0 12 Dec 2018
Generative Models for Fast Calorimeter Simulation.LHCb case V. Chekalina Elena Orlova Fedor Ratnikov Dmitry Ulyanov Andrey Ustyuzhanin Egor Zakharov AI4CE 46 68 0 04 Dec 2018
Bias and Generalization in Deep Generative Models: An Empirical Study Shengjia Zhao Hongyu Ren Arianna Yuan Jiaming Song Noah D. Goodman Stefano Ermon AI4CE 42 137 0 08 Nov 2018
Energy Flow Networks: Deep Sets for Particle Jets Patrick T. Komiske E. Metodiev Jesse Thaler PINN 3DPC 79 255 0 11 Oct 2018
Novelty Detection Meets Collider Physics Jan Hajer Ying-Ying Li Tao Liu He Wang 85 103 0 26 Jul 2018
Restricted Boltzmann Machines: Introduction and Review Guido Montúfar AI4CE 45 51 0 19 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 743 3,119 0 04 Jun 2018
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows George Papamakarios D. Sterratt Iain Murray BDL 522 367 0 18 May 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 99 303 0 28 Mar 2018
Sylvester Normalizing Flows for Variational Inference Rianne van den Berg Leonard Hasenclever Jakub M. Tomczak Max Welling BDL DRL 82 253 0 15 Mar 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 62 1,348 0 16 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 255 6,138 0 24 Jan 2018
GraphGAN: Graph Representation Learning with Generative Adversarial Nets Hongwei Wang Jia Wang Jialin Wang Miao Zhao Weinan Zhang Fuzheng Zhang Xing Xie Minyi Guo GNN GAN 81 624 0 22 Nov 2017
Classification without labels: Learning from mixed samples in high energy physics E. Metodiev Benjamin Nachman Jesse Thaler CML 50 206 0 09 Aug 2017
Masked Autoregressive Flow for Density Estimation George Papamakarios Theo Pavlakou Iain Murray 204 1,351 0 19 May 2017
Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multi-Layer Calorimeters Michela Paganini Luke de Oliveira Benjamin Nachman AI4CE 50 222 0 05 May 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 584 7,441 0 04 Apr 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 197 9,545 0 31 Mar 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 400 2,462 0 10 Mar 2017
Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis Luke de Oliveira Michela Paganini Benjamin Nachman GAN AI4CE 49 288 0 20 Jan 2017
A Point Set Generation Network for 3D Object Reconstruction from a Single Image Haoqiang Fan Hao Su Leonidas Guibas 3DPC 3DV 166 2,237 0 02 Dec 2016
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 147 3,584 0 21 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 418 3,209 0 30 Oct 2016
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 155 402 0 20 Oct 2016
Discrete Variational Autoencoders J. Rolfe BDL DRL 187 260 0 07 Sep 2016
Conditional Image Generation with PixelCNN Decoders Aaron van den Oord Nal Kalchbrenner Oriol Vinyals L. Espeholt Alex Graves Koray Kavukcuoglu VLM 200 2,509 0 16 Jun 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 478 9,044 0 10 Jun 2016
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 105 2,359 0 19 Nov 2015
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 268 1,245 0 01 Sep 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 286 6,925 0 12 Mar 2015
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 156 2,800 0 20 Feb 2015
MADE: Masked Autoencoder for Distribution Estimation M. Germain Karol Gregor Iain Murray Hugo Larochelle OOD SyDa UQCV 170 867 0 12 Feb 2015
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.0K 23,338 0 03 Jun 2014