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  4. Cited By
InfoGAN: Interpretable Representation Learning by Information Maximizing
  Generative Adversarial Nets

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

12 June 2016
Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
    GAN
ArXiv (abs)PDFHTML

Papers citing "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

50 / 1,937 papers shown
FFaceNeRF: Few-shot Face Editing in Neural Radiance Fields
FFaceNeRF: Few-shot Face Editing in Neural Radiance FieldsComputer Vision and Pattern Recognition (CVPR), 2025
Kwan Yun
Chaelin Kim
Hangyeul Shin
Junyong Noh
CVBM
259
1
0
21 Mar 2025
A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation
Forough Fazeliasl
Michael Minyi Zhang
Bei Jiang
Linglong Kong
241
0
0
13 Mar 2025
EPR-GAIL: An EPR-Enhanced Hierarchical Imitation Learning Framework to Simulate Complex User Consumption Behaviors
Tao Feng
Yunke Zhang
Huandong Wang
Yong Li
AI4TS
197
0
0
09 Mar 2025
Four Principles for Physically Interpretable World Models
Four Principles for Physically Interpretable World Models
Jordan Peper
Zhenjiang Mao
Yuang Geng
Siyuan Pan
Ivan Ruchkin
441
5
0
04 Mar 2025
Re-Imagining Multimodal Instruction Tuning: A Representation View
Re-Imagining Multimodal Instruction Tuning: A Representation ViewInternational Conference on Learning Representations (ICLR), 2025
Yiyang Liu
James Liang
Ruixiang Tang
Yugyung Lee
Majid Rabbani
...
Raghuveer M. Rao
Lifu Huang
Dongfang Liu
Qifan Wang
Cheng Han
1.1K
12
0
02 Mar 2025
DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing
DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing
Jingyi Yang
Xun Lin
Zitong Yu
Li Zhang
Xianglong Liu
Hui Li
Xiaochen Yuan
Simeng Qin
CVBM
339
2
0
01 Mar 2025
Gradient-Guided Annealing for Domain Generalization
Gradient-Guided Annealing for Domain GeneralizationComputer Vision and Pattern Recognition (CVPR), 2025
Aristotelis Ballas
Christos Diou
OOD
1.4K
7
0
27 Feb 2025
Model Adaptation: Unsupervised Domain Adaptation without Source Data
Model Adaptation: Unsupervised Domain Adaptation without Source DataComputer Vision and Pattern Recognition (CVPR), 2020
Rui Li
Qianfen Jiao
Wenming Cao
Hau-San Wong
Si Wu
OOD
754
562
0
26 Feb 2025
Comparative Analysis of MDL-VAE vs. Standard VAE on 202 Years of Gynecological Data
Comparative Analysis of MDL-VAE vs. Standard VAE on 202 Years of Gynecological Data
Paula Santos
DRL
326
0
0
25 Feb 2025
URECA: The Chain of Two Minimum Set Cover Problems exists behind Adaptation to Shifts in Semantic Code Search
URECA: The Chain of Two Minimum Set Cover Problems exists behind Adaptation to Shifts in Semantic Code Search
Seok-Ung Choi
Joonghyuk Hahn
Yo-Sub Han
436
0
0
11 Feb 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Won-Jun Jang
Hyeon-Seo Park
Si-Hyeon Lee
FedML
1.0K
0
0
10 Feb 2025
Assessing the use of Diffusion models for motion artifact correction in brain MRI
Assessing the use of Diffusion models for motion artifact correction in brain MRIIEEE International Symposium on Biomedical Imaging (ISBI), 2025
Paolo Angella
Vito Paolo Pastore
Matteo Santacesaria
MedImDiffM
333
2
0
03 Feb 2025
Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model
Towards Robust and Reliable Concept Representations: Reliability-Enhanced Concept Embedding Model
Yuxuan Cai
Xiang Wang
Satoshi Tsutsui
Winnie Pang
Bihan Wen
274
0
0
03 Feb 2025
InfoBridge: Mutual Information estimation via Bridge Matching
InfoBridge: Mutual Information estimation via Bridge Matching
Sergei Kholkin
Ivan Butakov
Evgeny Burnaev
Nikita Gushchin
Alexander Korotin
DiffMFedML
469
1
0
03 Feb 2025
Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time AdaptationNeural Information Processing Systems (NeurIPS), 2025
Mingjia Li
Shuang Li
Tongrui Su
Longhui Yuan
Jian Liang
Wei Li
DiffM
251
1
0
03 Jan 2025
Information Subtraction: Learning Representations for Conditional Entropy
Keng Hou Leong
Yuxuan Xiu
Wai Kin
Chan
256
0
0
02 Jan 2025
Symbolic Disentangled Representations for Images
Symbolic Disentangled Representations for Images
Alexandr Korchemnyi
A. Kovalev
Aleksandr I. Panov
OCL
328
2
0
31 Dec 2024
Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models
Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models
Konstantin Donhauser
Kristina Ulicna
Gemma Elyse Moran
Aditya Ravuri
Kian Kenyon-Dean
Cian Eastwood
Jason Hartford
433
1
0
20 Dec 2024
A Review of Multimodal Explainable Artificial Intelligence: Past,
  Present and Future
A Review of Multimodal Explainable Artificial Intelligence: Past, Present and Future
Shilin Sun
Wenbin An
Feng Tian
Fang Nan
Qidong Liu
Jing Liu
N. Shah
Ping Chen
389
20
0
18 Dec 2024
Strategies and Challenges of Efficient White-Box Training for Human
  Activity Recognition
Strategies and Challenges of Efficient White-Box Training for Human Activity Recognition
Daniel Geissler
Bo Zhou
P. Lukowicz
HAI
279
2
0
11 Dec 2024
The Evolution and Future Perspectives of Artificial Intelligence Generated Content
The Evolution and Future Perspectives of Artificial Intelligence Generated Content
Chengzhang Zhu
Luobin Cui
Ying Tang
Jiacun Wang
392
2
0
02 Dec 2024
Pretrained Reversible Generation as Unsupervised Visual Representation Learning
Pretrained Reversible Generation as Unsupervised Visual Representation Learning
Rongkun Xue
Jinouwen Zhang
Yazhe Niu
Dazhong Shen
Bingqi Ma
Yu Liu
Jing Yang
582
1
0
29 Nov 2024
Learning Disentangled Representations for Perceptual Point Cloud Quality
  Assessment via Mutual Information Minimization
Learning Disentangled Representations for Perceptual Point Cloud Quality Assessment via Mutual Information MinimizationNeural Information Processing Systems (NeurIPS), 2024
Ziyu Shan
Yujie Zhang
Yipeng Liu
Yiling Xu
184
4
0
12 Nov 2024
A method based on Generative Adversarial Networks for disentangling
  physical and chemical properties of stars in astronomical spectra
A method based on Generative Adversarial Networks for disentangling physical and chemical properties of stars in astronomical spectraApplied Soft Computing (Appl. Soft Comput.), 2024
Raúl Santoveña
Carlos Dafonte
Minia Manteiga
GAN
96
0
0
08 Nov 2024
Disentangling Disentangled Representations: Towards Improved Latent
  Units via Diffusion Models
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion ModelsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Youngjun Jun
Jiwoo Park
Kyobin Choo
Tae Eun Choi
Seong Jae Hwang
CoGe
355
2
0
31 Oct 2024
Minimum Entropy Coupling with Bottleneck
Minimum Entropy Coupling with BottleneckNeural Information Processing Systems (NeurIPS), 2024
MohammadReza Ebrahimi
Jun Chen
Ashish Khisti
232
5
0
29 Oct 2024
Alternatives of Unsupervised Representations of Variables on the Latent
  Space
Alternatives of Unsupervised Representations of Variables on the Latent Space
Alex Glushkovsky
SSLBDLDRL
185
0
0
26 Oct 2024
Counterfactual Generative Modeling with Variational Causal Inference
Counterfactual Generative Modeling with Variational Causal InferenceInternational Conference on Learning Representations (ICLR), 2024
Yulun Wu
Louie McConnell
Claudia Iriondo
CMLBDL
576
9
0
16 Oct 2024
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on
  Unstructured Datasets
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured DatasetsNeural Information Processing Systems (NeurIPS), 2024
Kyungeun Lee
Wonjong Rhee
230
9
0
14 Oct 2024
CAS-GAN for Contrast-free Angiography Synthesis
CAS-GAN for Contrast-free Angiography SynthesisCISM Workshops (CISM), 2024
De-Xing Huang
Xiao-Hu Zhou
Mei-Jiang Gui
Xiao-Liang Xie
Shi-Qi Liu
Shuang-Yi Wang
Hao Li
Tian-Yu Xiang
Z. Hou
MedIm
269
1
0
11 Oct 2024
Machine Learning for Missing Value Imputation
Machine Learning for Missing Value Imputation
Abu Fuad Ahmad
Khaznah Alshammari
Istiaque Ahmed
MD Shohel Sayed
242
1
0
10 Oct 2024
Vector Grimoire: Codebook-based Shape Generation under Raster Image
  Supervision
Vector Grimoire: Codebook-based Shape Generation under Raster Image Supervision
Moritz Feuerpfeil
Marco Cipriano
Gerard de Melo
201
0
0
08 Oct 2024
Unsupervised Representation Learning from Sparse Transformation Analysis
Unsupervised Representation Learning from Sparse Transformation Analysis
Yue Song
Thomas Anderson Keller
Yisong Yue
Pietro Perona
Max Welling
DRL
329
2
0
07 Oct 2024
OD-Stega: LLM-Based Relatively Secure Steganography via Optimized Distributions
OD-Stega: LLM-Based Relatively Secure Steganography via Optimized Distributions
Yu-Shin Huang
Peter Just
Krishna Narayanan
Chao Tian
Ruihong Huang
Chao Tian
279
15
0
06 Oct 2024
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models
LoRKD: Low-Rank Knowledge Decomposition for Medical Foundation Models
Haolin Li
Yuhang Zhou
Ziheng Zhao
Siyuan Du
Jiangchao Yao
Weidi Xie
Ya Zhang
Yanfeng Wang
271
2
0
29 Sep 2024
Transferring disentangled representations: bridging the gap between synthetic and real images
Transferring disentangled representations: bridging the gap between synthetic and real imagesNeural Information Processing Systems (NeurIPS), 2024
Jacopo Dapueto
Nicoletta Noceti
Francesca Odone
OOD
478
2
0
26 Sep 2024
Enhanced Pix2Pix GAN for Visual Defect Removal in UAV-Captured Images
Enhanced Pix2Pix GAN for Visual Defect Removal in UAV-Captured Images
Volodymyr Rizun
108
1
0
10 Sep 2024
Learning Privacy-Preserving Student Networks via
  Discriminative-Generative Distillation
Learning Privacy-Preserving Student Networks via Discriminative-Generative DistillationIEEE Transactions on Image Processing (IEEE TIP), 2022
Shiming Ge
Bochao Liu
Pengju Wang
Yong Li
Dan Zeng
FedML
274
23
0
04 Sep 2024
Anchor-Controlled Generative Adversarial Network for High-Fidelity
  Electromagnetic and Structurally Diverse Metasurface Design
Anchor-Controlled Generative Adversarial Network for High-Fidelity Electromagnetic and Structurally Diverse Metasurface Design
Yunhui Zeng
Hongkun Cao
Xin Jin
139
5
0
29 Aug 2024
Rethinking Disentanglement under Dependent Factors of Variation
Rethinking Disentanglement under Dependent Factors of Variation
Antonio Almudévar
Alfonso Ortega
DRLCoGe
389
1
0
13 Aug 2024
Improving Network Interpretability via Explanation Consistency
  Evaluation
Improving Network Interpretability via Explanation Consistency EvaluationIEEE transactions on multimedia (IEEE TMM), 2024
Hefeng Wu
Hao Jiang
Keze Wang
Ziyi Tang
Xianghuan He
Liang Lin
FAttAAML
301
3
0
08 Aug 2024
BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical
  Applications
BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical Applications
G. Manni
C. Lauretti
F. Prata
R. Papalia
L. Zollo
P. Soda
3DGSMDE
235
7
0
06 Aug 2024
Multi-task SAR Image Processing via GAN-based Unsupervised Manipulation
Multi-task SAR Image Processing via GAN-based Unsupervised Manipulation
Xuran Hu
Mingzhe Zhu
L. Durlofsky
Zhenpeng Feng
Ljubisa Stankovic
GAN
247
0
0
02 Aug 2024
Generative Adversarial Networks for Imputing Sparse Learning Performance
Generative Adversarial Networks for Imputing Sparse Learning Performance
Liang Zhang
Mohammed Yeasin
Jionghao Lin
Felix Havugimana
Xiangen Hu
209
4
0
26 Jul 2024
Graph-based Unsupervised Disentangled Representation Learning via
  Multimodal Large Language Models
Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models
Baao Xie
Qiuyu Chen
Yunnan Wang
Zequn Zhang
Xin Jin
Wenjun Zeng
OffRL
265
7
0
26 Jul 2024
Diverse Image Harmonization
Diverse Image Harmonization
Xinhao Tao
Tianyuan Qiu
Junyan Cao
Li Niu
232
0
0
22 Jul 2024
DisenSemi: Semi-supervised Graph Classification via Disentangled
  Representation Learning
DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning
Yifan Wang
Xiao Luo
Chong Chen
Xian-Sheng Hua
Ming Zhang
Wei Ju
249
36
0
19 Jul 2024
Towards Interpretable Visuo-Tactile Predictive Models for Soft Robot
  Interactions
Towards Interpretable Visuo-Tactile Predictive Models for Soft Robot Interactions
Enrico Donato
T. G. Thuruthel
Egidio Falotico
184
1
0
16 Jul 2024
Isometric Representation Learning for Disentangled Latent Space of
  Diffusion Models
Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
Jaehoon Hahm
Junho Lee
Sunghyun Kim
Joonseok Lee
DiffM
271
19
0
16 Jul 2024
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception
Exploring the Potentials and Challenges of Deep Generative Models in Product Design Conception
Phillip Mueller
Lars Mikelsons
AI4CE
396
5
0
15 Jul 2024
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