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Adversarially Learned Inference

2 June 2016

Aaron Courville

Papers citing "Adversarially Learned Inference"

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Title
Joint-stochastic-approximation Random Fields with Application to Semi-supervised Learning Yunfu Song Zhijian Ou 22 0 0 24 May 2025
Joint-stochastic-approximation Autoencoders with Application to Semi-supervised Learning Wenbo He Zhijian Ou DRL BDL 36 0 0 24 May 2025
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 209 0 0 24 Apr 2025
Unifying Image Counterfactuals and Feature Attributions with Latent-Space Adversarial Attacks Jeremy Goldwasser Giles Hooker AAML 86 0 0 21 Apr 2025
Learning and Generating Diverse Residential Load Patterns Using GAN with Weakly-Supervised Training and Weight Selection Xinyu Liang Hao Wang 455 0 0 19 Apr 2025
A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation Forough Fazeliasl Michael Minyi Zhang Bei Jiang Linglong Kong 83 0 0 13 Mar 2025
Adaptive Learning of the Latent Space of Wasserstein Generative Adversarial Networks Yixuan Qiu Qingyi Gao Xiao Wang GAN 27 1 0 27 Sep 2024
Learning Privacy-Preserving Student Networks via Discriminative-Generative Distillation Shiming Ge Bochao Liu Pengju Wang Yong Li Dan Zeng FedML 102 11 0 04 Sep 2024
GANs Conditioning Methods: A Survey Anis Bourou Valérie Mezger Auguste Genovesio EGVM AI4CE 138 2 0 28 Aug 2024
Diverse Image Harmonization Xinhao Tao Tianyuan Qiu Junyan Cao Li Niu 69 0 0 22 Jul 2024
SwinStyleformer is a favorable choice for image inversion Jiawei Mao Guangyi Zhao Xuesong Yin Yuanqi Chang ViT 91 0 0 19 Jun 2024
Distributional Principal Autoencoders Xinwei Shen N. Meinshausen 93 3 0 21 Apr 2024
Incremental Self-training for Semi-supervised Learning Member Ieee Jifeng Guo Zhulin Liu Senior Member Ieee Tong Zhang F. I. C. L. Philip Chen CLL 79 3 0 14 Apr 2024
Benchmarking Counterfactual Image Generation Thomas Melistas Nikos Spyrou Nefeli Gkouti Pedro Sanchez Athanasios Vlontzos Yannis Panagakis G. Papanastasiou Sotirios A. Tsaftaris EGVM CML 134 11 0 29 Mar 2024
A survey of synthetic data augmentation methods in computer vision A. Mumuni F. Mumuni N. K. Gerrar 112 26 0 15 Mar 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference Benjamin Eysenbach Vivek Myers Ruslan Salakhutdinov Sergey Levine AI4TS 146 12 0 06 Mar 2024
Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding Guangyi Liu Yu Wang Zeyu Feng Qiyu Wu Liping Tang ... Shuguang Cui Julian McAuley Zichao Yang Eric P. Xing Zhiting Hu DiffM 104 4 0 29 Feb 2024
Counterfactual Image Editing Yushu Pan Elias Bareinboim BDL CML 76 8 0 07 Feb 2024
Causal Generative Explainers using Counterfactual Inference: A Case Study on the Morpho-MNIST Dataset William Taylor-Melanson Zahra Sadeghi Stan Matwin CML 83 6 0 21 Jan 2024
Do text-free diffusion models learn discriminative visual representations? Soumik Mukhopadhyay M. Gwilliam Yosuke Yamaguchi Vatsal Agarwal Namitha Padmanabhan Archana Swaminathan Dinesh Manocha Abhinav Shrivastava DiffM 134 14 1 29 Nov 2023
3D Teeth Reconstruction from Panoramic Radiographs using Neural Implicit Functions Sihwa Park Seongjun Kim In-Seok Song Seung Jun Baek 74 5 0 28 Nov 2023
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models Fei Kong Jinhao Duan Lichao Sun Hao-Ran Cheng Renjing Xu Hengtao Shen Xiao-lan Zhu Xiaoshuang Shi Kaidi Xu 66 3 0 23 Nov 2023
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 63 4 0 13 Nov 2023
A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision Hrishikesh Sharma AI4CE EGVM 48 1 0 02 Nov 2023
Optimal Budgeted Rejection Sampling for Generative Models Alexandre Verine Muni Sreenivas Pydi Benjamin Négrevergne Y. Chevaleyre 94 3 0 01 Nov 2023
Worst-Case Morphs using Wasserstein ALI and Improved MIPGAN Una M. Kelly Meike Nauta Lu Liu Luuk J. Spreeuwers Raymond N. J. Veldhuis 30 1 0 12 Oct 2023
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image Analysis Raman Dutt Ondrej Bohdal Sotirios A. Tsaftaris Timothy M. Hospedales 127 14 0 08 Oct 2023
Structural Adversarial Objectives for Self-Supervised Representation Learning Xiao Zhang Michael Maire 105 1 0 30 Sep 2023
In-Domain GAN Inversion for Faithful Reconstruction and Editability Jiapeng Zhu Yujun Shen Yinghao Xu Deli Zhao Qifeng Chen Bolei Zhou DiffM 87 6 0 25 Sep 2023
Nucleus-aware Self-supervised Pretraining Using Unpaired Image-to-image Translation for Histopathology Images Zhiyun Song Penghui Du Junpeng Yan Keqin Li Jianzhong Shou Maode Lai Yubo Fan Yan Xu 95 8 0 14 Sep 2023
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art Tanujit Chakraborty Ujjwal Reddy K S Shraddha M. Naik Madhurima Panja B. Manvitha 112 74 0 30 Aug 2023
A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy Forough Fazeli Asl M. Zhang GAN 54 2 0 27 Aug 2023
Deep Generative Networks for Heterogeneous Augmentation of Cranial Defects K. Kwarciak Marek Wodzinski MedIm 47 4 0 09 Aug 2023
Learning beyond sensations: how dreams organize neuronal representations Nicolas Deperrois Mihai A. Petrovici Walter Senn Jakob Jordan SSL CLL 53 7 0 03 Aug 2023
Conditioning Generative Latent Optimization for Sparse-View CT Image Reconstruction Thomas Braure Delphine Lazaro David Hateau Vincent Brandon Kévin Ginsburger MedIm 67 0 0 31 Jul 2023
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution Elen Vardanyan Sona Hunanyan T. Galstyan A. Minasyan A. Dalalyan 121 2 0 31 Jul 2023
Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis Jiajie Fan L. Vuaille Hongya Wang Thomas Bäck AI4CE 66 6 0 19 Jul 2023
Symmetric Equilibrium Learning of VAEs B. Flach D. Schlesinger Alexander Shekhovtsov DRL 55 1 0 19 Jul 2023
Adversarial Likelihood Estimation With One-Way Flows Omri Ben-Dov Pravir Singh Gupta Victoria Fernandez-Abrevaya Michael J. Black Partha Ghosh GAN DRL 58 0 0 19 Jul 2023
Diffusion Models Beat GANs on Image Classification Soumik Mukhopadhyay M. Gwilliam Vatsal Agarwal Namitha Padmanabhan A. Swaminathan Srinidhi Hegde Dinesh Manocha Abhinav Shrivastava DiffM 163 48 1 17 Jul 2023
Game Level Blending using a Learned Level Representation Venkata Sai Revanth Atmakuri Seth Cooper Matthew J. Guzdial 50 0 0 29 Jun 2023
Targeted collapse regularized autoencoder for anomaly detection: black hole at the center A. Ghafourian Huanyi Shui Devesh Upadhyay Rajesh K. Gupta Dimitar Filev I. S. Bozchalooi AAML 82 1 0 22 Jun 2023
OT-Net: A Reusable Neural Optimal Transport Solver Zezeng Li Shenghao Li Lianbao Jin Na Lei Zhongxuan Luo OT 87 4 0 14 Jun 2023
Coupled Variational Autoencoder Xiaoran Hao Patrick Shafto BDL DRL 74 4 0 05 Jun 2023
An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization Fei Kong Jinhao Duan Ruipeng Ma Hengtao Shen Xiao-lan Zhu Xiaoshuang Shi Kaidi Xu DiffM 53 34 0 26 May 2023
The Representation Jensen-Shannon Divergence J. Hoyos-Osorio Santiago Posso-Murillo L. S. Giraldo 164 8 0 25 May 2023
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training Utku Ozbulak Hyun Jung Lee Beril Boga Esla Timothy Anzaku Ho-min Park Arnout Van Messem W. D. Neve J. Vankerschaver DiffM 107 38 0 23 May 2023
TUVF: Learning Generalizable Texture UV Radiance Fields Annie Cheng Xueting Li Sifei Liu Xinyu Wang DiffM 82 8 0 04 May 2023
Spot The Odd One Out: Regularized Complete Cycle Consistent Anomaly Detector GAN Zahra Dehghanian Saeed Saravani M. Amirmazlaghani Mohammad Rahmati 43 1 0 16 Apr 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 94 11 0 14 Apr 2023