Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach

28 October 2023

Papers citing "Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach"

8 / 8 papers shown

Title
A Survey on Diffusion Models for Anomaly Detection J. Liu Zhenchao Ma Zepu Wang Y. Liu Zehua Wang Peng Sun Liang Song Bo Hu Azzedine Boukerche Victor C.M. Leung DiffM MedIm 39 2 0 20 Jan 2025
LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Xiaodi Li Dingcheng Li Rujun Gao Mahmoud Zamani Latifur Khan CLL KELM 44 0 0 09 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 31 3 0 30 Jun 2024
Non-parametric regression for robot learning on manifolds P. C. López-Custodio K. Bharath A. Kucukyilmaz S. P. Preston 23 1 0 30 Oct 2023
Guiding Energy-based Models via Contrastive Latent Variables Hankook Lee Jongheon Jeong Sejun Park Jinwoo Shin BDL 32 14 0 06 Mar 2023
Training Deep Energy-Based Models with f-Divergence Minimization Lantao Yu Yang Song Jiaming Song Stefano Ermon 174 42 0 06 Mar 2020
MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection Harsh Purohit Ryo Tanabe K. Ichige Takashi Endo Yuki Nikaido Kaori Suefusa Y. Kawaguchi 73 302 0 20 Sep 2019
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 230 2,545 0 25 Jan 2016