Better Latent Spaces for Better Autoencoders

Better Latent Spaces for Better Autoencoders

16 April 2021

Papers citing "Better Latent Spaces for Better Autoencoders"

11 / 11 papers shown

Title
An autoencoder compression approach for accelerating large-scale inverse problems J. Wittmer Jacob Badger H. Sundar T. Bui-Thanh AI4CE 29 1 0 10 Apr 2023
Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series Max Schemmer Joshua Holstein Niklas Bauer Niklas Kühl G. Satzger 28 2 0 07 Feb 2023
Anomalies, Representations, and Self-Supervision B. Dillon Luigi Favaro Friedrich Feiden Tanmoy Modak Tilman Plehn 21 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
IRC-safe Graph Autoencoder for unsupervised anomaly detection Oliver Atkinson Akanksha Bhardwaj C. Englert P. Konar Vishal S. Ngairangbam M. Spannowsky 16 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 33 113 0 07 Dec 2021
Autoencoders for Semivisible Jet Detection F. Canelli A. de Cosa L. Le Pottier J. Niedziela K. Pedro M. Pierini 16 32 0 06 Dec 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
Autoencoders for unsupervised anomaly detection in high energy physics Thorben Finke Michael Krämer A. Morandini A. Mück I. Oleksiyuk 13 83 0 19 Apr 2021
Bump Hunting in Latent Space Blaž Bortolato B. Dillon J. Kamenik Aleks Smolkovič DRL 18 43 0 11 Mar 2021
Topological Obstructions to Autoencoding Joshua D. Batson C. G. Haaf Yonatan Kahn Daniel A. Roberts AI4CE 34 37 0 16 Feb 2021