Anomaly Detection with Density Estimation

14 January 2020

Papers citing "Anomaly Detection with Density Estimation"

29 / 29 papers shown

Title
TRANSIT your events into a new mass: Fast background interpolation for weakly-supervised anomaly searches Ivan Oleksiyuk Svyatoslav Voloshynovskiy Tobias Golling DiffM 68 0 0 06 Mar 2025
Unifying Simulation and Inference with Normalizing Flows Haoxing Du Claudius Krause Vinicius Mikuni Benjamin Nachman Ian Pang David Shih 161 4 0 29 Apr 2024
Simulation Assisted Likelihood-free Anomaly Detection Anders Andreassen Benjamin Nachman David Shih 45 112 0 14 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 493 42,407 0 03 Dec 2019
How to GAN away Detector Effects Marco Bellagente A. Butter Gregor Kasieczka Tilman Plehn R. Winterhalder GAN 43 87 0 01 Dec 2019
Lund jet images from generative and cycle-consistent adversarial networks Stefano Carrazza F. Dreyer GAN 44 49 0 03 Sep 2019
Neural Spline Flows Conor Durkan Artur Bekasov Iain Murray George Papamakarios DRL 176 774 0 10 Jun 2019
Flow-based generative models for Markov chain Monte Carlo in lattice field theory M. S. Albergo G. Kanwar P. Shanahan AI4CE 51 218 0 26 Apr 2019
Cherenkov Detectors Fast Simulation Using Neural Networks D. Derkach N. Kazeev Fedor Ratnikov Andrey Ustyuzhanin Alexandra Volokhova 41 28 0 28 Mar 2019
LHC analysis-specific datasets with Generative Adversarial Networks B. Hashemi N. Amin Kaustuv Datta D. Olivito M. Pierini GAN 26 86 0 16 Jan 2019
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
Variational Autoencoders for New Physics Mining at the Large Hadron Collider O. Cerri Thong Q. Nguyen M. Pierini M. Spiropulu J. Vlimant DRL 38 144 0 26 Nov 2018
GANs for generating EFT models Harold Erbin Sven Krippendorf GAN 44 28 0 06 Sep 2018
Novelty Detection Meets Collider Physics Jan Hajer Ying-Ying Li Tao Liu He Wang 85 103 0 26 Jul 2018
JUNIPR: a Framework for Unsupervised Machine Learning in Particle Physics Anders Andreassen Ilya Feige Christopher Frye M. Schwartz MU 68 137 0 25 Apr 2018
Neural Autoregressive Flows Chin-Wei Huang David M. Krueger Alexandre Lacoste Aaron Courville DRL AI4CE 143 442 0 03 Apr 2018
CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks Michela Paganini Luke de Oliveira Benjamin Nachman AI4CE GAN 48 316 0 21 Dec 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 207 1,352 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
Decorrelated Jet Substructure Tagging using Adversarial Neural Networks C. Shimmin Peter Sadowski Pierre Baldi E. Weik D. Whiteson Edward Goul A. Søgaard GAN 47 114 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 51 288 0 20 Jan 2017
Learning to Pivot with Adversarial Networks Gilles Louppe Michael Kagan Kyle Cranmer 63 227 0 03 Nov 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 137 1,818 0 15 Jun 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,350 0 27 May 2016
Neural Autoregressive Distribution Estimation Benigno Uria Marc-Alexandre Côté Karol Gregor Iain Murray Hugo Larochelle 76 314 0 07 May 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 313 4,179 0 21 May 2015
MADE: Masked Autoencoder for Distribution Estimation M. Germain Karol Gregor Iain Murray Hugo Larochelle OOD SyDa UQCV 170 867 0 12 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014