Bump Hunting in Latent Space

Bump Hunting in Latent Space

11 March 2021

Blaž Bortolato

Aleks Smolkovič

Papers citing "Bump Hunting in Latent Space"

10 / 10 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
Anomalies, Representations, and Self-Supervision B. Dillon Luigi Favaro Friedrich Feiden Tanmoy Modak Tilman Plehn 26 9 0 11 Jan 2023
A Detailed Study of Interpretability of Deep Neural Network based Top Taggers Ayush Khot Mark S. Neubauer Avik Roy AAML 33 16 0 09 Oct 2022
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 24 19 0 24 Nov 2021
Online-compatible Unsupervised Non-resonant Anomaly Detection Vinicius Mikuni Benjamin Nachman David Shih 25 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
Latent Space Refinement for Deep Generative Models R. Winterhalder Marco Bellagente Benjamin Nachman BDL GAN DRL DiffM 10 27 0 01 Jun 2021
Autoencoders for unsupervised anomaly detection in high energy physics Thorben Finke Michael Krämer A. Morandini A. Mück I. Oleksiyuk 21 83 0 19 Apr 2021
Better Latent Spaces for Better Autoencoders B. Dillon Tilman Plehn C. Sauer P. Sorrenson BDL DRL 24 55 0 16 Apr 2021
Comparing Weak- and Unsupervised Methods for Resonant Anomaly Detection J. Collins P. Martín-Ramiro Benjamin Nachman David Shih 24 44 0 05 Apr 2021