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Bayesian GAN

26 May 2017

Papers citing "Bayesian GAN"

50 / 65 papers shown

Title
Joint-stochastic-approximation Autoencoders with Application to Semi-supervised Learning Wenbo He Zhijian Ou DRL BDL 17 0 0 24 May 2025
Generative Uncertainty in Diffusion Models Metod Jazbec Eliot Wong-Toi Guoxuan Xia Dan Zhang Eric T. Nalisnick Stephan Mandt DiffM 124 1 0 28 Feb 2025
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation Michele De Vita Vasileios Belagiannis DiffM 151 1 0 29 Nov 2024
Capturing Climatic Variability: Using Deep Learning for Stochastic Downscaling Kiri Daust Adam Monahan 126 3 0 31 May 2024
A Chronological Survey of Theoretical Advancements in Generative Adversarial Networks for Computer Vision Hrishikesh Sharma AI4CE EGVM 43 1 0 02 Nov 2023
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference Siqi Kou Lei Gan Dequan Wang Chongxuan Li Zhijie Deng BDL DiffM 71 7 0 17 Oct 2023
Human-AI Interactions and Societal Pitfalls Francisco Castro Jian Gao Sébastien Martin 81 3 0 19 Sep 2023
Robust GAN inversion Egor Sevriugov Ivan Oseledets 53 0 0 31 Aug 2023
Adversarial Bayesian Augmentation for Single-Source Domain Generalization Sheng Cheng Tejas Gokhale Yezhou Yang OOD 60 16 0 18 Jul 2023
Post-train Black-box Defense via Bayesian Boundary Correction He Wang Yunfeng Diao AAML 85 1 0 29 Jun 2023
Unsupervised Joint Image Transfer and Uncertainty Quantification Using Patch Invariant Networks Christoph Angermann Markus Haltmeier Ahsan Raza Siyal 59 3 0 09 Jul 2022
Particle algorithms for maximum likelihood training of latent variable models Juan Kuntz Jen Ning Lim A. M. Johansen FedML 109 23 0 27 Apr 2022
From MIM-Based GAN to Anomaly Detection:Event Probability Influence on Generative Adversarial Networks R. She Pingyi Fan GAN 23 5 0 25 Mar 2022
Defending Black-box Skeleton-based Human Activity Classifiers He Wang Yunfeng Diao Zichang Tan G. Guo AAML 131 10 0 09 Mar 2022
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley GAN 100 12 0 26 Nov 2021
Unsupervised Image Generation with Infinite Generative Adversarial Networks Hui Ying He Wang Tianjia Shao Yin Yang Kun Zhou GAN 46 2 0 18 Aug 2021
Prb-GAN: A Probabilistic Framework for GAN Modelling Blessen George V. Kurmi Vinay P. Namboodiri GAN 50 0 0 12 Jul 2021
Exploring Dropout Discriminator for Domain Adaptation V. Kurmi Venkatesh Subramanian Vinay P. Namboodiri OOD 51 6 0 09 Jul 2021
Sensor-invariant Fingerprint ROI Segmentation Using Recurrent Adversarial Learning Indu Joshi Ayush Utkarsh R. Kothari V. Kurmi A. Dantcheva Sumantra Dutta Roy P. Kalra OOD 125 10 0 03 Jul 2021
MIND: Inductive Mutual Information Estimation, A Convex Maximum-Entropy Copula Approach Yves-Laurent Kom Samo 40 8 0 25 Feb 2021
Complexity Controlled Generative Adversarial Networks Himanshu Pant Jayadeva Jayadeva Sumit Soman GAN 43 1 0 20 Nov 2020
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions Wei Deng Guang Lin F. Liang BDL 76 28 0 19 Oct 2020
Remote sensing image fusion based on Bayesian GAN Junfu Chen Yue Pan Yang Chen GAN 22 4 0 20 Sep 2020
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC Wei Deng Qi Feng Liyao (Mars) Gao F. Liang Guang Lin BDL 65 47 0 12 Aug 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 156 305 0 30 Apr 2020
Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient Descent Dong Wang Xiaoqian Qin F. Song Li Cheng GAN 97 22 0 22 Apr 2020
The Case for Bayesian Deep Learning A. Wilson UQCV BDL OOD 132 114 0 29 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 106 843 0 20 Jan 2020
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection Erik A. Daxberger José Miguel Hernández-Lobato UQCV 103 63 0 11 Dec 2019
An Adaptive Empirical Bayesian Method for Sparse Deep Learning Wei Deng Xiao Zhang F. Liang Guang Lin BDL 126 44 0 23 Oct 2019
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 66 93 0 14 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey Maciej Wiatrak Stefano V. Albrecht A. Nystrom GAN 123 87 0 30 Sep 2019
Synthetic Data for Deep Learning Sergey I. Nikolenko 149 358 0 25 Sep 2019
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection Bingzhe Wu Shiwan Zhao Chaochao Chen Haoyang Xu Li Wang Xiaolu Zhang Guangyu Sun Jun Zhou 52 45 0 21 Aug 2019
Curriculum based Dropout Discriminator for Domain Adaptation V. Kurmi Vipul Bajaj K. Venkatesh Vinay P. Namboodiri OOD 89 14 0 24 Jul 2019
Estimation of Absolute States of Human Skeletal Muscle via Standard B-Mode Ultrasound Imaging and Deep Convolutional Neural Networks Ryan Cunningham Ian David Loram 30 28 0 02 Jul 2019
Benchmarking Regression Methods: A comparison with CGAN Karan Aggarwal Matthieu Kirchmeyer Pranjul Yadav S. Keerthi Patrick Gallinari 26 13 0 30 May 2019
Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification Zilong Zhong Jonathan Li David A Clausi A. Wong GAN 53 110 0 12 May 2019
Coordination and Trajectory Prediction for Vehicle Interactions via Bayesian Generative Modeling Jiachen Li Hengbo Ma Wei Zhan Masayoshi Tomizuka 65 24 0 02 May 2019
Test Selection for Deep Learning Systems Wei Ma Mike Papadakis Anestis Tsakmalis Maxime Cordy Yves Le Traon OOD 67 93 0 30 Apr 2019
Implicit Kernel Learning Chun-Liang Li Wei-Cheng Chang Youssef Mroueh Yiming Yang Barnabás Póczós VLM 66 42 0 26 Feb 2019
Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach Peilin Zhong Yuchen Mo Chang Xiao Pengyu Chen Changxi Zheng 34 5 0 13 Feb 2019
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning Ruqi Zhang Chunyuan Li Jianyi Zhang Changyou Chen A. Wilson BDL 88 278 0 11 Feb 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning Wesley J. Maddox T. Garipov Pavel Izmailov Dmitry Vetrov A. Wilson BDL UQCV 120 810 0 07 Feb 2019
Adaptive Density Estimation for Generative Models Thomas Lucas K. Shmelkov Alahari Karteek Cordelia Schmid Jakob Verbeek GAN DRL 93 32 0 04 Jan 2019
Physics-informed deep generative models Yibo Yang P. Perdikaris AI4CE PINN 87 59 0 09 Dec 2018
Generative Adversarial Network Training is a Continual Learning Problem Kevin J. Liang Chunyuan Li Guoyin Wang Lawrence Carin GAN 36 50 0 27 Nov 2018
Quality-Aware Multimodal Saliency Detection via Deep Reinforcement Learning Tianlin Li Tao Sun Rui Yang Chenglong Li Bin Luo Jin Tang 28 2 0 27 Nov 2018
Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling Haoran You Yu Cheng Tianheng Cheng Chunliang Li Pan Zhou GAN 46 3 0 19 Nov 2018
Mixture Density Generative Adversarial Networks Hamid Eghbalzadeh Werner Zellinger Gerhard Widmer GAN 80 39 0 31 Oct 2018