Generalized Denoising Auto-Encoders as Generative Models

29 May 2013

Pascal Vincent

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

50 / 90 papers shown

Title
AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection Bin-Bin Gao Yue Zhou Jiangtao Yan Y. Cai Wenbo Zhang Meng Wang Jun Liu Yong-Jin Liu Lei Wang Chengjie Wang VLM 41 0 0 15 May 2025
Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt Bin-Bin Gao 37 4 0 14 May 2025
MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning Bin-Bin Gao VLM 25 0 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 Jie Wang 39 0 0 04 May 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 45 0 0 13 Feb 2025
FiffDepth: Feed-forward Transformation of Diffusion-Based Generators for Detailed Depth Estimation Yunpeng Bai Qixing Huang DiffM 94 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 84 0 0 29 Nov 2024
A noise-corrected Langevin algorithm and sampling by half-denoising Aapo Hyvärinen DiffM 49 1 0 08 Oct 2024
DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction Yanlong Li Chamara Madarasingha Kanchana Thilakarathna 26 1 0 06 Dec 2023
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection Marcin Pietroñ Dominik Zurek Kamil Faber Roberto Corizzo 30 3 0 25 May 2023
Moment Matching Denoising Gibbs Sampling Mingtian Zhang Alex Hawkins-Hooker Brooks Paige David Barber DiffM 28 3 0 19 May 2023
How to Construct Energy for Images? Denoising Autoencoder Can Be Energy Based Model W. Zeng DiffM 39 1 0 05 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 32 0 0 08 Feb 2023
OF-AE: Oblique Forest AutoEncoders C. Alecsa 22 0 0 02 Jan 2023
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 36 0 0 05 Dec 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference N. Durasov Nik Dorndorf Hieu M. Le Pascal Fua UQCV 30 10 0 21 Nov 2022
A composable machine-learning approach for steady-state simulations on high-resolution grids Rishikesh Ranade C. Hill Lalit Ghule Jay Pathak AI4CE 33 7 0 11 Oct 2022
Masked Vision and Language Modeling for Multi-modal Representation Learning Gukyeong Kwon Zhaowei Cai Avinash Ravichandran Erhan Bas Rahul Bhotika Stefano Soatto 36 67 0 03 Aug 2022
Latent Variable Modelling Using Variational Autoencoders: A survey Vasanth Kalingeri CML DRL 26 2 0 20 Jun 2022
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models Kamil Deja Anna Kuzina Tomasz Trzciñski Jakub M. Tomczak DiffM 39 25 0 31 May 2022
Speckle Image Restoration without Clean Data Tsung-Ming Tai Yun-Jie Jhang Wen-Jyi Hwang Chau-Jern Cheng 14 4 0 18 May 2022
POS-BERT: Point Cloud One-Stage BERT Pre-Training Kexue Fu Peng Gao Shaolei Liu Renrui Zhang Yu Qiao Manning Wang 3DPC 30 18 0 03 Apr 2022
Probing BERT's priors with serial reproduction chains Takateru Yamakoshi Thomas Griffiths Robert D. Hawkins 29 12 0 24 Feb 2022
A composable autoencoder-based iterative algorithm for accelerating numerical simulations Rishikesh Ranade C. Hill Haiyang He Amir Maleki Norman Chang Jay Pathak AI4CE 41 5 0 07 Oct 2021
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds Bjoern Michele Alexandre Boulch Gilles Puy Maxime Bucher Renaud Marlet 3DPC DiffM VLM 41 57 0 13 Aug 2021
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 44 852 0 07 Jul 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 16 659 0 10 Jun 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 41 483 0 08 Mar 2021
Learning Neural Generative Dynamics for Molecular Conformation Generation Minkai Xu Shitong Luo Yoshua Bengio Jian-wei Peng Jian Tang AI4CE 24 115 0 20 Feb 2021
ReCoG: A Deep Learning Framework with Heterogeneous Graph for Interaction-Aware Trajectory Prediction Xiaoyu Mo Yang Xing Chen Lv GNN 16 43 0 09 Dec 2020
Deep learning for time series classification Hassan Ismail Fawaz BDL AI4TS 43 35 0 01 Oct 2020
Solving Linear Inverse Problems Using the Prior Implicit in a Denoiser Zahra Kadkhodaie Eero P. Simoncelli 32 82 0 27 Jul 2020
Learning the Redundancy-free Features for Generalized Zero-Shot Object Recognition Zongyan Han Zhenyong Fu Jian Yang 23 86 0 16 Jun 2020
High-Fidelity Audio Generation and Representation Learning with Guided Adversarial Autoencoder Kazi Nazmul Haque R. Rana Björn W Schuller DRL 26 12 0 01 Jun 2020
Test-Time Adaptable Neural Networks for Robust Medical Image Segmentation Neerav Karani Ertunc Erdil K. Chaitanya E. Konukoglu OOD 23 162 0 09 Apr 2020
Complexity Measures and Features for Times Series classification Francisco Javier Baldan J. M. Benítez 38 19 0 27 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 33 821 0 20 Jan 2020
Improving Channel Charting with Representation-Constrained Autoencoders Pengzhi Huang Oscar Castañeda Emre Gönültaş Said Medjkouh O. Tirkkonen Tom Goldstein Christoph Studer 11 33 0 07 Aug 2019
An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks Jielong Yang Wee Peng Tay BDL 14 8 0 25 Jun 2019
Perceptual Generative Autoencoders Zijun Zhang Ruixiang Zhang Zongpeng Li Yoshua Bengio Liam Paull DRL GAN 22 28 0 25 Jun 2019
Learning Fair Representations via an Adversarial Framework Rui Feng Yang Yang Yuehan Lyu Chenhao Tan Yizhou Sun Chunping Wang FaML 19 55 0 30 Apr 2019
Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images Junsik Kim Tae-Hyun Oh Seokju Lee Fei Pan In So Kweon DRL 36 73 0 17 Apr 2019
From Variational to Deterministic Autoencoders Partha Ghosh Mehdi S. M. Sajjadi Antonio Vergari Michael J. Black Bernhard Schölkopf DRL 37 269 0 29 Mar 2019
Neural Empirical Bayes Saeed Saremi Aapo Hyvarinen 12 65 0 06 Mar 2019
Robust Anomaly Detection in Images using Adversarial Autoencoders Laura Beggel Michael Pfeiffer B. Bischl UQCV 19 114 0 18 Jan 2019
Spectral Clustering via Ensemble Deep Autoencoder Learning (SC-EDAE) Séverine Affeldt Lazhar Labiod M. Nadif 8 75 0 08 Jan 2019
Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence Athanasios Davvetas I. Klampanos V. Karkaletsis 27 5 0 09 Nov 2018
Deep learning for time series classification: a review Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AI4TS AI4CE 136 2,648 0 12 Sep 2018
Multi-Layered Gradient Boosting Decision Trees Ji Feng Yang Yu Zhi-Hua Zhou AI4CE 22 120 0 31 May 2018
Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networks Sho Sonoda Noboru Murata 16 8 0 12 Dec 2017