Anomaly Detection With Conditional Variational Autoencoders

Anomaly Detection With Conditional Variational Autoencoders

12 October 2020

Adrian Alan Pol

Cécile Germain

Papers citing "Anomaly Detection With Conditional Variational Autoencoders"

17 / 17 papers shown

Title
Hierarchical Task Decomposition for Execution Monitoring and Error Recovery: Understanding the Rationale Behind Task Demonstrations Christoph Willibald Dongheui Lee 49 0 0 07 May 2025
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments Mehdi Ben Ghali Reda Bellafqira Gouenou Coatrieux AAML FedML 48 0 0 21 Jan 2025
Cross-Attention Graph Neural Networks for Inferring Gene Regulatory Networks with Skewed Degree Distribution Jiaqi Xiong Nan Yin Yifan Sun Haoyang Li Yingxu Wang Duo Ai Fang Pan Shiyang Liang 82 0 0 10 Jan 2025
AI-based particle track identification in scintillating fibres read out with imaging sensors Noemi Bührer Saúl Alonso-Monsalve Matthew Franks Till Dieminger D. Sgalaberna 28 0 0 14 Oct 2024
A Survey on the Integration of Generative AI for Critical Thinking in Mobile Networks Athanasios Karapantelakis Alexandros Nikou Ajay Kattepur Jean Martins Leonid Mokrushin S. Mohalik Marin Orlic Aneta Vulgarakis Feljan 29 1 0 10 Apr 2024
MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected Reconstruction Xu Tan Jiawei Yang Junqi Chen S. Rahardja S. Rahardja UQCV 25 1 0 03 Apr 2023
Generative Invertible Quantum Neural Networks Armand Rousselot M. Spannowsky BDL 16 9 0 24 Feb 2023
Anomalies, Representations, and Self-Supervision B. Dillon Luigi Favaro Friedrich Feiden Tanmoy Modak Tilman Plehn 29 9 0 11 Jan 2023
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
Novel Applications for VAE-based Anomaly Detection Systems Luca Bergamin Tommaso Carraro Mirko Polato F. Aiolli DRL 24 6 0 26 Apr 2022
DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents Kushagra Pandey Avideep Mukherjee Piyush Rai Abhishek Kumar DiffM 28 114 0 02 Jan 2022
Online-compatible Unsupervised Non-resonant Anomaly Detection Vinicius Mikuni Benjamin Nachman David Shih 27 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
Neural network based order parameter for phase transitions and its applications in high-entropy alloys Junqi Yin Zongrui Pei M. Gao 31 27 0 12 Sep 2021
Assessing the Quality of the Datasets by Identifying Mislabeled Samples Vaibhav Pulastya Gaurav Nuti Yash Kumar Atri Tanmoy Chakraborty NoLa 32 5 0 10 Sep 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
A Living Review of Machine Learning for Particle Physics Matthew Feickert Benjamin Nachman KELM AI4CE 27 178 0 02 Feb 2021