Anomaly Detection with Density Estimation

14 January 2020

Papers citing "Anomaly Detection with Density Estimation"

28 / 28 papers shown

Title
Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics Sebastian Springer Andre Scaffidi Maximilian Autenrieth Gabriella Contardo Alessandro Laio R. Trotta H. Haario 42 0 0 31 Mar 2025
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
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
TERM Model: Tensor Ring Mixture Model for Density Estimation Ruituo Wu Jiani Liu Ce Zhu Anh-Huy Phan Ivan Oseledets Yipeng Liu 28 1 0 13 Dec 2023
CURTAINs Flows For Flows: Constructing Unobserved Regions with Maximum Likelihood Estimation Debasish Sengupta Samuel Klein J. A. Raine T. Golling OOD 24 27 0 08 May 2023
Weakly-Supervised Anomaly Detection in the Milky Way M. Pettee Sowmya Thanvantri Benjamin Nachman David Shih M. Buckley J. Collins 21 7 0 05 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
Unravelling physics beyond the standard model with classical and quantum anomaly detection Julian Schuhmacher Laura Boggia Vasilis Belis E. Puljak Michele Grossi M. Pierini S. Vallecorsa F. Tacchino Panagiotis Kl Barkoutsos I. Tavernelli 18 26 0 25 Jan 2023
Anomalies, Representations, and Self-Supervision B. Dillon Luigi Favaro Friedrich Feiden Tanmoy Modak Tilman Plehn 29 9 0 11 Jan 2023
Resonant Anomaly Detection with Multiple Reference Datasets Mayee F. Chen Benjamin Nachman Frederic Sala 25 5 0 20 Dec 2022
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly Detection Joseph A. Gallego-Mejia Oscar A. Bustos-Brinez Fabio A. González 50 2 0 15 Nov 2022
IRC-safe Graph Autoencoder for unsupervised anomaly detection Oliver Atkinson Akanksha Bhardwaj C. Englert P. Konar Vishal S. Ngairangbam M. Spannowsky 24 26 0 26 Apr 2022
Machine Learning in the Search for New Fundamental Physics G. Karagiorgi Gregor Kasieczka S. Kravitz Benjamin Nachman David Shih AI4CE 44 113 0 07 Dec 2021
Online-compatible Unsupervised Non-resonant Anomaly Detection Vinicius Mikuni Benjamin Nachman David Shih 29 35 0 11 Nov 2021
Challenges for Unsupervised Anomaly Detection in Particle Physics Katherine Fraser S. Homiller Rashmish K. Mishra B. Ostdiek M. Schwartz DRL 27 43 0 13 Oct 2021
Fair Normalizing Flows Mislav Balunović Anian Ruoss Martin Vechev AAML 19 36 0 10 Jun 2021
GBHT: Gradient Boosting Histogram Transform for Density Estimation Jingyi Cui H. Hang Yisen Wang Zhouchen Lin 22 9 0 10 Jun 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 10 27 0 01 Jun 2021
Better Latent Spaces for Better Autoencoders B. Dillon Tilman Plehn C. Sauer P. Sorrenson BDL DRL 27 55 0 16 Apr 2021
Understanding Event-Generation Networks via Uncertainties Marco Bellagente Manuel Haussmann Michel Luchmann Tilman Plehn BDL 33 55 0 09 Apr 2021
Comparing Weak- and Unsupervised Methods for Resonant Anomaly Detection J. Collins P. Martín-Ramiro Benjamin Nachman David Shih 29 44 0 05 Apr 2021
Bump Hunting in Latent Space Blaž Bortolato B. Dillon J. Kamenik Aleks Smolkovič DRL 29 43 0 11 Mar 2021
A Living Review of Machine Learning for Particle Physics Matthew Feickert Benjamin Nachman KELM AI4CE 27 178 0 02 Feb 2021
E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once Benjamin Nachman Jesse Thaler 35 33 0 18 Jan 2021
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems Aman Sinha Matthew O'Kelly Russ Tedrake John C. Duchi 39 48 0 24 Aug 2020
GPU coprocessors as a service for deep learning inference in high energy physics J. Krupa Kelvin Lin M. Acosta Flechas Jack T. Dinsmore Javier Mauricio Duarte ... K. Pedro D. Rankin Natchanon Suaysom Matthew Trahms N. Tran BDL 3DV 18 32 0 20 Jul 2020