Autoencoding Under Normalization Constraints

12 May 2021

Papers citing "Autoencoding Under Normalization Constraints"

26 / 26 papers shown

Title
Value Gradient Sampler: Sampling as Sequential Decision Making Sangwoong Yoon Himchan Hwang Hyeokju Jeong Dong Kyu Shin Che-Sang Park Sehee Kwon Frank C. Park 69 0 0 18 Feb 2025
Autoencoders for Anomaly Detection are Unreliable Roel Bouman Tom Heskes 38 1 0 23 Jan 2025
Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models Sangwoong Yoon Himchan Hwang Dohyun Kwon Yung-Kyun Noh Frank C. Park 19 2 0 30 Jun 2024
Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data Hiroshi Takahashi Tomoharu Iwata Atsutoshi Kumagai Yuuki Yamanaka 35 1 0 29 May 2024
A Geometric Explanation of the Likelihood OOD Detection Paradox Hamidreza Kamkari Brendan Leigh Ross Jesse C. Cresswell Anthony L. Caterini Rahul G. Krishnan G. Loaiza-Ganem OODD 26 9 0 27 Mar 2024
Machine Learning for Anomaly Detection in Particle Physics Vasilis Belis Patrick Odagiu Thea Klæboe Årrestad 30 40 0 20 Dec 2023
Generalized Contrastive Divergence: Joint Training of Energy-Based Model and Diffusion Model through Inverse Reinforcement Learning Sangwoong Yoon Dohyun Kwon Himchan Hwang Yung-Kyun Noh Frank C. Park 25 0 0 06 Dec 2023
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach Sangwoong Yoon Young-Uk Jin Yung-Kyun Noh Frank C. Park 14 12 0 28 Oct 2023
Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores Fiete Lüer Tobias Weber Maxim Dolgich Christian Böhm 26 1 0 27 Oct 2023
MMP++: Motion Manifold Primitives with Parametric Curve Models Yonghyeon Lee 26 3 0 26 Oct 2023
Learning Nonparametric High-Dimensional Generative Models: The Empirical-Beta-Copula Autoencoder Maximilian Coblenz Oliver Grothe Fabian Kächele SyDa DRL 28 1 0 18 Sep 2023
An Iterative Method for Unsupervised Robust Anomaly Detection Under Data Contamination Minkyung Kim Jongmin Yu Junsik Kim Tae-Hyun Oh Jun Kyun Choi OOD 17 10 0 18 Sep 2023
A Review of Change of Variable Formulas for Generative Modeling Ullrich Kothe 19 6 0 04 Aug 2023
Restricted Generative Projection for One-Class Classification and Anomaly Detection F. Xiao Ruoyu Sun Jicong Fan UQCV 21 2 0 09 Jul 2023
Triggering Dark Showers with Conditional Dual Auto-Encoders Luca Anzalone S. S. Chhibra B. Maier N. Chernyavskaya M. Pierini AI4CE 30 4 0 22 Jun 2023
Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models Cosmin I. Bercea Michaela Neumayr Daniel Rueckert J. Schnabel DiffM MedIm 17 34 0 31 May 2023
TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation Zhaoyan Liu Noël Vouitsis S. Gorti Jimmy Ba G. Loaiza-Ganem ViT 25 1 0 26 Apr 2023
How to Construct Energy for Images? Denoising Autoencoder Can Be Energy Based Model W. Zeng DiffM 23 1 0 05 Mar 2023
Versatile Energy-Based Probabilistic Models for High Energy Physics Taoli Cheng Aaron Courville DiffM 9 0 0 01 Feb 2023
Positive Difference Distribution for Image Outlier Detection using Normalizing Flows and Contrastive Data R. Schmier Ullrich Kothe C. Straehle 11 5 0 30 Aug 2022
Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers Sangwoong Yoon Jinwon Choi Yonghyeon Lee Yung-Kyun Noh Frank C. Park OODD 11 1 0 20 Aug 2022
Neural Implicit Manifold Learning for Topology-Aware Density Estimation Brendan Leigh Ross G. Loaiza-Ganem Anthony L. Caterini Jesse C. Cresswell AI4CE 26 2 0 22 Jun 2022
Geometric instability of out of distribution data across autoencoder architecture S. Agarwala Ben Dees Corey Lowman DRL 8 0 0 28 Jan 2022
Data Invariants to Understand Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 11 6 0 26 Nov 2021
Autoregressive Score Matching Chenlin Meng Lantao Yu Yang Song Jiaming Song Stefano Ermon DiffM 180 12 0 24 Oct 2020
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,543 0 25 Jan 2016