v1v2v3v4 (latest)

Generalized Denoising Auto-Encoders as Generative Models

29 May 2013

Pascal Vincent

Papers citing "Generalized Denoising Auto-Encoders as Generative Models"

50 / 228 papers shown

Title
Geometric Regularity in Deterministic Sampling of Diffusion-based Generative Models Defang Chen Zhenyu Zhou C. Wang Siwei Lyu DiffM 60 0 0 11 Jun 2025
Self-supervised Latent Space Optimization with Nebula Variational Coding Yida Wang D. Tan Nassir Navab Federico Tombari DRL SSL 81 1 0 02 Jun 2025
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection Bin-Bin Gao Yue Zhou Jiangtao Yan Y. Cai Weinan Zhang Meng Wang Jun Liu Yang Liu Lei Wang Chengjie Wang VLM 94 0 0 15 May 2025
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning Bin-Bin Gao VLM 194 0 0 14 May 2025
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt Bin-Bin Gao 102 6 0 14 May 2025
MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection Jiayi Cheng C. Gao Jie Zhou J. Wen Tao Dai Jiadong Wang 73 0 0 04 May 2025
SAVeD: Learning to Denoise Low-SNR Video for Improved Downstream Performance Suzanne Stathatos Michael Hobley Markus Marks Pietro Perona 79 0 0 31 Mar 2025
cMIM: A Contrastive Mutual Information Framework for Unified Generative and Discriminative Representation Learning Micha Livne SSL 109 0 0 27 Feb 2025
MC2SleepNet: Multi-modal Cross-masking with Contrastive Learning for Sleep Stage Classification Younghoon Na Hyun Keun Ahn Hyun-Kyung Lee Yoongeol Lee Seung Hun Oh Hongkwon Kim Jeong-Gun Lee 85 0 0 13 Feb 2025
FiffDepth: Feed-forward Transformation of Diffusion-Based Generators for Detailed Depth Estimation Yunpeng Bai Qixing Huang DiffM 172 0 0 01 Dec 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning Rongkun Xue Jinouwen Zhang Yazhe Niu Dazhong Shen Bingqi Ma Yu Liu Jing Yang 188 0 0 29 Nov 2024
Exploring the design space of deep-learning-based weather forecasting systems Shoaib Ahmed Siddiqui Jean Kossaifi Boris Bonev Christopher Choy Jan Kautz David M. Krueger Kamyar Azizzadenesheli AI4CE OOD 59 3 0 09 Oct 2024
A noise-corrected Langevin algorithm and sampling by half-denoising Aapo Hyvärinen DiffM 100 1 0 08 Oct 2024
Diffusion Models and Representation Learning: A Survey Michael Fuest Pingchuan Ma Ming Gui Johannes S. Fischer Vincent Tao Hu Bjorn Ommer DiffM 104 24 0 30 Jun 2024
On the Trajectory Regularity of ODE-based Diffusion Sampling Defang Chen Zhenyu Zhou Can Wang Chunhua Shen Siwei Lyu 81 20 0 18 May 2024
Distributional Principal Autoencoders Xinwei Shen N. Meinshausen 86 3 0 21 Apr 2024
Improving Prediction Accuracy of Semantic Segmentation Methods Using Convolutional Autoencoder Based Pre-processing Layers H. Shimodaira AI4CE SSeg 96 0 0 19 Apr 2024
AI Competitions and Benchmarks: Dataset Development Romain Egele Julio C. S. Jacques Junior Jan N. van Rijn Isabelle M Guyon Xavier Baró Albert Clapés Prasanna Balaprakash Sergio Escalera T. Moeslund Jun Wan 76 0 0 15 Apr 2024
SQUWA: Signal Quality Aware DNN Architecture for Enhanced Accuracy in Atrial Fibrillation Detection from Noisy PPG Signals Runze Yan C. Ding Ran Xiao Aleksandr Fedorov Randall J Lee Fadi B Nahab Xiao Hu 62 2 0 15 Apr 2024
Enabling Uncertainty Estimation in Iterative Neural Networks Nikita Durasov Doruk Öner Jonathan Donier Hieu M. Le Pascal Fua UQCV 213 9 0 25 Mar 2024
Real-Time Zero-Day Intrusion Detection System for Automotive Controller Area Network on FPGAs Shashwat Khandelwal Shanker Shreejith AAML 83 4 0 19 Jan 2024
DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction Yanlong Li Chamara Madarasingha Kanchana Thilakarathna 52 2 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 86 15 0 28 Oct 2023
Embedding in Recommender Systems: A Survey Xiangyu Zhao Maolin Wang Xinjian Zhao Jiansheng Li Shucheng Zhou Dawei Yin Qing Li Jiliang Tang Ruocheng Guo AI4TS 90 12 0 28 Oct 2023
Generative Autoencoding of Dropout Patterns Shunta Maeda SyDa 20 1 0 03 Oct 2023
Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood Y. Zhu Jianwen Xie Yingnian Wu Ruiqi Gao DiffM 140 14 0 10 Sep 2023
Diffusion Model as Representation Learner Xingyi Yang Xinchao Wang DiffM 86 60 0 21 Aug 2023
Training Energy-Based Models with Diffusion Contrastive Divergences Weijian Luo Hao Jiang Tianyang Hu Jiacheng Sun Zechao Li Zhihua Zhang DiffM 110 8 0 04 Jul 2023
Blind Audio Bandwidth Extension: A Diffusion-Based Zero-Shot Approach Eloi Moliner Filip Elvander Vesa Valimaki DiffM 99 12 0 02 Jun 2023
A Geometric Perspective on Diffusion Models Defang Chen Zhenyu Zhou Jianhan Mei Chunhua Shen Chun-Yen Chen C. Wang DiffM 78 20 0 31 May 2023
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection Marcin Pietroñ Dominik Zurek Kamil Faber Roberto Corizzo 52 3 0 25 May 2023
Deriving Language Models from Masked Language Models Lucas Torroba Hennigen Yoon Kim 71 12 0 24 May 2023
Moment Matching Denoising Gibbs Sampling Mingtian Zhang Alex Hawkins-Hooker Brooks Paige David Barber DiffM 77 3 0 19 May 2023
How to Construct Energy for Images? Denoising Autoencoder Can Be Energy Based Model W. Zeng DiffM 68 1 0 05 Mar 2023
Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption Jack W. Barker Neelanjan Bhowmik Yona Falinie A. Gaus T. Breckon 60 3 0 02 Mar 2023
A Systematic Evaluation and Benchmark for Embedding-Aware Generative Models: Features, Models, and Any-shot Scenarios Liangjun Feng Jiancheng Zhao Chunhui Zhao VLM 78 0 0 08 Feb 2023
Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey Navid Mohammadi Foumani Lynn Miller Chang Wei Tan G. I. Webb Germain Forestier Mahsa Salehi BDL AI4TS 149 108 0 06 Feb 2023
OF-AE: Oblique Forest AutoEncoders C. Alecsa 73 0 0 02 Jan 2023
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods Aleksandr Shevchenko Kevin Kögler Hamed Hassani Marco Mondelli DRL MLT 67 2 0 27 Dec 2022
Rethinking Generative Methods for Image Restoration in Physics-based Vision: A Theoretical Analysis from the Perspective of Information Xudong Kang H. Xie Man-Leung Wong J. Qin 82 0 0 05 Dec 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference Nikita Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 89 10 0 21 Nov 2022
Multi-Objective GFlowNets Moksh Jain Sharath Chandra Raparthy Alex Hernandez-Garcia Jarrid Rector-Brooks Yoshua Bengio Santiago Miret Emmanuel Bengio 101 91 0 23 Oct 2022
CNT (Conditioning on Noisy Targets): A new Algorithm for Leveraging Top-Down Feedback Alexia Jolicoeur-Martineau Alex Lamb Vikas Verma Aniket Didolkar NoLa 30 0 0 18 Oct 2022
Policy Gradient With Serial Markov Chain Reasoning Edoardo Cetin Oya Celiktutan BDL LRM 56 2 0 13 Oct 2022
A composable machine-learning approach for steady-state simulations on high-resolution grids Rishikesh Ranade C. Hill Lalit Ghule Jay Pathak AI4CE 80 8 0 11 Oct 2022
EraseNet: A Recurrent Residual Network for Supervised Document Cleaning Yashowardhan Shinde Kishore Kulkarni Sachin Kuberkar 57 0 0 03 Oct 2022
Masked Vision and Language Modeling for Multi-modal Representation Learning Gukyeong Kwon Zhaowei Cai Avinash Ravichandran Erhan Bas Rahul Bhotika Stefano Soatto 90 68 0 03 Aug 2022
Latent Variable Modelling Using Variational Autoencoders: A survey Vasanth Kalingeri CML DRL 63 2 0 20 Jun 2022
Latent Diffusion Energy-Based Model for Interpretable Text Modeling Peiyu Yu Sirui Xie Xiaojian Ma Baoxiong Jia Bo Pang Ruigi Gao Yixin Zhu Song-Chun Zhu Ying Nian Wu DiffM 107 82 0 13 Jun 2022
A Unified Model for Multi-class Anomaly Detection Zhiyuan You Lei Cui Yujun Shen Kai Yang Xin Lu Yu Zheng Xinyi Le 82 230 0 08 Jun 2022