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Adversarially Learned Inference
v1v2v3 (latest)

Adversarially Learned Inference

2 June 2016
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
    GAN
ArXiv (abs)PDFHTML

Papers citing "Adversarially Learned Inference"

50 / 749 papers shown
Title
Joint-stochastic-approximation Random Fields with Application to Semi-supervised Learning
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
Joint-stochastic-approximation Autoencoders with Application to Semi-supervised Learning
Wenbo He
Zhijian Ou
DRLBDL
36
0
0
24 May 2025
Likelihood-Free Variational Autoencoders
Likelihood-Free Variational Autoencoders
Chen Xu
Qiang Wang
Lijun Sun
DiffMDRL
209
0
0
24 Apr 2025
Unifying Image Counterfactuals and Feature Attributions with Latent-Space Adversarial Attacks
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
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
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
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
GANs Conditioning Methods: A Survey
Anis Bourou
Valérie Mezger
Auguste Genovesio
EGVMAI4CE
138
2
0
28 Aug 2024
Diverse Image Harmonization
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
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
Distributional Principal Autoencoders
Xinwei Shen
N. Meinshausen
93
3
0
21 Apr 2024
Incremental Self-training for Semi-supervised Learning
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
Benchmarking Counterfactual Image Generation
Thomas Melistas
Nikos Spyrou
Nefeli Gkouti
Pedro Sanchez
Athanasios Vlontzos
Yannis Panagakis
G. Papanastasiou
Sotirios A. Tsaftaris
EGVMCML
134
11
0
29 Mar 2024
A survey of synthetic data augmentation methods in computer vision
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
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
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
Counterfactual Image Editing
Yushu Pan
Elias Bareinboim
BDLCML
76
8
0
07 Feb 2024
Causal Generative Explainers using Counterfactual Inference: A Case
  Study on the Morpho-MNIST Dataset
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?
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
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
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
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
A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision
Hrishikesh Sharma
AI4CEEGVM
48
1
0
02 Nov 2023
Optimal Budgeted Rejection Sampling for Generative Models
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
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
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
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
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
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
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
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
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
Learning beyond sensations: how dreams organize neuronal representations
Nicolas Deperrois
Mihai A. Petrovici
Walter Senn
Jakob Jordan
SSLCLL
53
7
0
03 Aug 2023
Conditioning Generative Latent Optimization for Sparse-View CT Image
  Reconstruction
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
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
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
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
Adversarial Likelihood Estimation With One-Way Flows
Omri Ben-Dov
Pravir Singh Gupta
Victoria Fernandez-Abrevaya
Michael J. Black
Partha Ghosh
GANDRL
58
0
0
19 Jul 2023
Diffusion Models Beat GANs on Image Classification
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
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
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
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
Coupled Variational Autoencoder
Xiaoran Hao
Patrick Shafto
BDLDRL
74
4
0
05 Jun 2023
An Efficient Membership Inference Attack for the Diffusion Model by
  Proximal Initialization
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
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
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
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
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
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
OODViTMedIm
94
11
0
14 Apr 2023
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