Adversarial Autoencoders

18 November 2015

Papers citing "Adversarial Autoencoders"

50 / 340 papers shown

Title
An AI-driven framework for the prediction of personalised health response to air pollution Nazanin Zounemat Kermani Sadjad Naderi Claire H. Dilliway Claire E. Heaney Shrreya Behll ... Marc Chadeau-Hyam Fangxin Fang Ian M. Adcock Kian Fan Chung Christopher C. Pain 25 0 0 15 May 2025
Multi-Scale Target-Aware Representation Learning for Fundus Image Enhancement Haofan Wu Yin Huang Yuqing Wu Qiuyu Yang Bingfang Wang ... Abdul Fattah Memon Daizong Ji Wenjie Qu Ghulam Mustafa Yin Fang MedIm 30 0 0 03 May 2025
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 88 0 0 24 Apr 2025
Unifying Image Counterfactuals and Feature Attributions with Latent-Space Adversarial Attacks Jeremy Goldwasser Giles Hooker AAML 33 0 0 21 Apr 2025
Explainable AI in Time-Sensitive Scenarios: Prefetched Offline Explanation Model Fabio Michele Russo C. Metta Anna Monreale S. Rinzivillo Fabio Pinelli 73 0 0 06 Mar 2025
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Theodoros Kouzelis Ioannis Kakogeorgiou Spyros Gidaris N. Komodakis DRL 80 6 0 17 Feb 2025
A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement Chengrui Li Yunmiao Wang Yule Wang Weihan Li Dieter Jaeger Anqi Wu CoGe DRL 78 0 0 04 Feb 2025
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax I. Butakov Alexander Sememenko Alexander Tolmachev Andrey Gladkov Marina Munkhoeva Alexey Frolov 37 0 0 09 Oct 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 53 0 0 22 Jul 2024
DISentangled Counterfactual Visual interpretER (DISCOVER) generalizes to natural images O. Rotem A. Zaritsky 21 0 0 22 Jun 2024
Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate? Kangyu Zheng Yingzhou Lu Zaixi Zhang Zhongwei Wan Yao Ma Marinka Zitnik Tianfan Fu ELM 36 6 0 04 Jun 2024
A Survey of Transformer Enabled Time Series Synthesis Alexander Sommers Logan Cummins Sudip Mittal Shahram Rahimi Maria Seale Joseph Jaboure Thomas Arnold AI4TS 48 2 0 04 Jun 2024
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data Saptarshi Chakraborty Peter L. Bartlett 44 1 0 24 Feb 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij Yingheng Wang Volodymyr Kuleshov DiffM 40 1 0 05 Jan 2024
A Survey on Open-Set Image Recognition Jiaying Sun Qiulei Dong BDL ObjD 34 3 0 25 Dec 2023
TURBO: The Swiss Knife of Auto-Encoders Guillaume Quétant Yury Belousov Vitaliy Kinakh Slava Voloshynovskiy 26 6 0 11 Nov 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 28 10 0 31 Aug 2023
Information Theory-Guided Heuristic Progressive Multi-View Coding Jiangmeng Li Hang Gao Wenwen Qiang Changwen Zheng 22 2 0 21 Aug 2023
A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond Junyu Chen Yihao Liu Shuwen Wei Zhangxing Bian Shalini Subramanian A. Carass Jerry L. Prince Yong Du OOD 45 36 0 28 Jul 2023
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly Detection Jitao Ma Weiying Xie Yunsong Li Leyuan Fang DiffM 24 8 0 19 Jul 2023
Abstracting Concept-Changing Rules for Solving Raven's Progressive Matrix Problems Fan Shi Bin Li Xiangyang Xue LRM 34 9 0 15 Jul 2023
Conditionally Invariant Representation Learning for Disentangling Cellular Heterogeneity H. Aliee Ferdinand Kapl Soroor Hediyeh-zadeh Fabian J. Theis CML 26 6 0 02 Jul 2023
CasTGAN: Cascaded Generative Adversarial Network for Realistic Tabular Data Synthesis Abdallah Alshantti Damiano Varagnolo Adil Rasheed Aria Rahmati Frank Westad 24 6 0 01 Jul 2023
Active Globally Explainable Learning for Medical Images via Class Association Embedding and Cyclic Adversarial Generation Ruitao Xie Jingbang Chen Limai Jiang Ru Xiao Yi-Lun Pan Yunpeng Cai GAN MedIm 27 0 0 12 Jun 2023
Coupled Variational Autoencoder Xiaoran Hao Patrick Shafto BDL DRL 34 4 0 05 Jun 2023
Lifting Architectural Constraints of Injective Flows Peter Sorrenson Felix Dräxler Armand Rousselot Sander Hummerich Leandro Zimmerman Ullrich Kothe TPM AI4CE 31 8 0 02 Jun 2023
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU Farhad Shiri Thinagaran Perumal N. Mustapha Raihani Mohamed AILaw SyDa ELM AI4TS 55 130 0 27 May 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
State Representation Learning Using an Unbalanced Atlas Li Meng Morten Goodwin Anis Yazidi P. Engelstad 37 2 0 17 May 2023
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection Ashay Patel Petru-Daniel Tudosiu W. H. Pinaya G. Cook Vicky Goh Sebastien Ourselin M. Jorge Cardoso OOD ViT MedIm 28 11 0 14 Apr 2023
AGAD: Adversarial Generative Anomaly Detection Jian Shi Ni Zhang 21 0 0 09 Apr 2023
A robust deep learning-based damage identification approach for SHM considering missing data Fan Deng Xiaoming Tao Pengxiang Wei Shiyin Wei 22 13 0 31 Mar 2023
Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck Jongheon Jeong Sihyun Yu Hankook Lee Jinwoo Shin AAML 44 0 0 24 Mar 2023
SignCRF: Scalable Channel-agnostic Data-driven Radio Authentication System Amani Al-Shawabka P. Pietraski Sudhir B. Pattar Pedram Johari Tommaso Melodia 21 3 0 21 Mar 2023
Learning Representation for Anomaly Detection of Vehicle Trajectories Ruochen Jiao Juyang Bai Xiangguo Liu Takami Sato Xiao-Fang Yuan Qi Alfred Chen Qiuhan Zhu AI4TS AAML 32 14 0 09 Mar 2023
Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection Jian Shi Pengyi Zhang Ni Zhang Hakim Ghazzai Y. Massoud MedIm 43 6 0 28 Feb 2023
From paintbrush to pixel: A review of deep neural networks in AI-generated art Anne-Sofie Maerten Derya Soydaner 37 23 0 14 Feb 2023
Explaining text classifiers through progressive neighborhood approximation with realistic samples Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AI4TS 22 0 0 11 Feb 2023
Disentangling Learning Representations with Density Estimation Eric C. Yeats Frank Liu Hai Helen Li BDL DRL CML 54 2 0 08 Feb 2023
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling C. Metta Riccardo Guidotti Yuan Yin Patrick Gallinari S. Rinzivillo MedIm 25 11 0 18 Jan 2023
Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery Martina Cinquini F. Giannotti Riccardo Guidotti 32 10 0 18 Jan 2023
A Survey on Password Guessing Lam C. Tran Thuc Nguyen Changho Seo Hyunil Kim Deokjai Choi 13 1 0 17 Dec 2022
A Rubric for Human-like Agents and NeuroAI Ida Momennejad 55 14 0 08 Dec 2022
An Overview on Controllable Text Generation via Variational Auto-Encoders Haoqin Tu Yitong Li BDL 32 2 0 15 Nov 2022
Computer Vision on X-ray Data in Industrial Production and Security Applications: A Comprehensive Survey M. Rafiei Jenni Raitoharju Alexandros Iosifidis 21 22 0 10 Nov 2022
Digital twins of physical printing-imaging channel Yury Belousov Brian Pulfer Roman Chaban Joakim Tutt O. Taran T. Holotyak Slava Voloshynovskiy 35 9 0 28 Oct 2022
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment Chenxiao Yang Qitian Wu Qingsong Wen Zhiqiang Zhou Liang Sun Junchi Yan OODD OOD 25 20 0 24 Oct 2022
Computer-Aided Multi-Objective Optimization in Small Molecule Discovery Jenna C. Fromer Connor W. Coley 32 66 0 13 Oct 2022
Autoencoder-Aided Visualization of Collections of Morse Complexes Jixian Li D. V. Boxel Joshua A. Levine 29 0 0 12 Oct 2022
Auto-Encoding Goodness of Fit A. Palmer Zhiyi Chi Derek Aguiar J. Bi 46 1 0 12 Oct 2022