Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data

15 July 2019

Papers citing "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data"

6 / 6 papers shown

Title
Resilient VAE: Unsupervised Anomaly Detection at the SLAC Linac Coherent Light Source Ryan Humble W. Colocho F. O'Shea Daniel Ratner Eric F. Darve DRL 9 1 0 05 Sep 2023
Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data Timur Sattarov Dayananda Herurkar Jörn Hees 30 8 0 21 Sep 2022
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo I. Peis Chao Ma José Miguel Hernández-Lobato BDL DRL 16 14 0 09 Feb 2022
Anomaly Detection: How to Artificially Increase your F1-Score with a Biased Evaluation Protocol Damien Fourure Muhammad Usama Javaid N. Posocco Simon Tihon 28 37 0 30 Jun 2021
On Memorization in Probabilistic Deep Generative Models G. V. D. Burg Christopher K. I. Williams TDI 25 59 0 06 Jun 2021
Trust Issues: Uncertainty Estimation Does Not Enable Reliable OOD Detection On Medical Tabular Data Dennis Ulmer L. Meijerink Giovanni Cina OOD 8 64 0 06 Nov 2020