Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks

17 January 2017

Papers citing "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks"

50 / 270 papers shown

Title
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 80 0 0 24 Apr 2025
Bayesian Computation in Deep Learning Wenlong Chen Bolian Li Ruqi Zhang Yingzhen Li BDL 75 0 0 25 Feb 2025
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm Nanyu Luo Feng Ji DRL 36 0 0 15 Feb 2025
Reinforcement-Learning Portfolio Allocation with Dynamic Embedding of Market Information Jinghai He Cheng Hua Chunyang Zhou Zeyu Zheng AIFin 43 1 0 29 Jan 2025
Self-supervised cross-modality learning for uncertainty-aware object detection and recognition in applications which lack pre-labelled training data Irum Mehboob Li Sun Alireza Astegarpanah Rustam Stolkin UQCV 43 0 0 05 Nov 2024
Zero-Shot Sing Voice Conversion: built upon clustering-based phoneme representations Wangjin Zhou Fengrun Zhang Yiming Liu Wenhao Guan Yi Zhao He Qu 20 1 0 12 Sep 2024
Variational Bayesian Phylogenetic Inference with Semi-implicit Branch Length Distributions Tianyu Xie Frederick A. Matsen IV M. Suchard Cheng Zhang 18 1 0 09 Aug 2024
Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference Jian Xu Delu Zeng John Paisley DiffM 31 1 0 24 Jul 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 51 0 0 22 Jul 2024
A-SDM: Accelerating Stable Diffusion through Model Assembly and Feature Inheritance Strategies Jinchao Zhu Yuxuan Wang Siyuan Pan Pengfei Wan Di Zhang Gao Huang 26 0 0 31 May 2024
Kernel Semi-Implicit Variational Inference Ziheng Cheng Longlin Yu Tianyu Xie Shiyue Zhang Cheng Zhang 29 2 0 29 May 2024
A survey of synthetic data augmentation methods in computer vision A. Mumuni F. Mumuni N. K. Gerrar 36 19 0 15 Mar 2024
Training Implicit Generative Models via an Invariant Statistical Loss José Manuel de Frutos Pablo M. Olmos M. Vázquez Joaquín Míguez SyDa GAN 30 1 0 26 Feb 2024
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data Saptarshi Chakraborty Peter L. Bartlett 41 1 0 24 Feb 2024
A self-attention-based differentially private tabular GAN with high data utility Zijian Li Zhihui Wang 18 1 0 20 Dec 2023
Pseudo-Likelihood Inference Theo Gruner Boris Belousov Fabio Muratore Daniel Palenicek Jan Peters 23 0 0 28 Nov 2023
Supervised structure learning Karl J. Friston Lancelot Da Costa Alexander Tschantz Alex B. Kiefer Tommaso Salvatori ... Noor Sajid Dimitrije Marković Thomas Parr Tim Verbelen Christopher L. Buckley DRL 37 8 0 17 Nov 2023
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration Longlin Yu Tianyu Xie Yu Zhu Tong Yang Xiangyu Zhang Cheng Zhang DiffM 16 5 0 26 Oct 2023
Compressed representation of brain genetic transcription James K. Ruffle Henry Watkins Robert J. Gray H. Hyare Michel Thiebaut de Schotten P. Nachev 22 0 0 24 Oct 2023
On Unsupervised Image-to-image translation and GAN stability BahaaEddin AlAila Zahra Jandaghi Abolfazl Farahani M. Al-Saad GAN 17 1 0 18 Oct 2023
Implicit Variational Inference for High-Dimensional Posteriors Anshuk Uppal Kristoffer Stensbo-Smidt Wouter Boomsma J. Frellsen BDL 15 1 0 10 Oct 2023
Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes Jian Xu Shian Du Junmei Yang Qianli Ma Delu Zeng BDL 11 1 0 22 Sep 2023
Unsupervised Text Style Transfer with Deep Generative Models Zhongtao Jiang Yuanzhe Zhang Yiming Ju Kang-Jun Liu 27 0 0 31 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 13 1 0 27 Aug 2023
Semi-Implicit Variational Inference via Score Matching Longlin Yu C. Zhang 19 10 0 19 Aug 2023
PatchContrast: Self-Supervised Pre-training for 3D Object Detection Oren Shrout Ori Nitzan Yizhak Ben-Shabat A. Tal 3DPC 59 2 0 14 Aug 2023
Symmetric Equilibrium Learning of VAEs B. Flach D. Schlesinger Alexander Shekhovtsov DRL 26 0 0 19 Jul 2023
Variational Counterfactual Prediction under Runtime Domain Corruption Hechuan Wen Tong Chen L. K. Chai S. Sadiq Junbin Gao Hongzhi Yin OOD 23 2 0 23 Jun 2023
Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images Pan Pan Zhiwen Fan Brandon Yushan Feng Peihao Wang Chenxing Li Zhangyang Wang 46 19 0 13 Jun 2023
Contagion Effect Estimation Using Proximal Embeddings Zahra Fatemi Elena Zheleva 29 1 0 04 Jun 2023
Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows Alexandre Verine Benjamin Négrevergne Muni Sreenivas Pydi Y. Chevaleyre 27 10 0 30 May 2023
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models Ba-Hien Tran Giulio Franzese Pietro Michiardi Maurizio Filippone DiffM 23 3 0 30 May 2023
UMat: Uncertainty-Aware Single Image High Resolution Material Capture Carlos Rodriguez-Pardo Henar Dominguez-Elvira David Pascual-Hernández Elena Garces 17 15 0 25 May 2023
A Rigorous Link between Deep Ensembles and (Variational) Bayesian Methods Veit Wild Sahra Ghalebikesabi Dino Sejdinovic Jeremias Knoblauch BDL UQCV 27 13 0 24 May 2023
Variational Classification S. Dhuliawala Mrinmaya Sachan Carl Allen BDL 12 5 0 17 May 2023
Spatiotemporal Self-supervised Learning for Point Clouds in the Wild Yanhao Wu Tong Zhang Wei Ke Sabine Süsstrunk Mathieu Salzmann 3DPC 25 22 0 28 Mar 2023
Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion Yao Liu Zesheng Ye Rui Wang Binghao Li Quan Z. Sheng L. Yao 18 8 0 15 Mar 2023
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties Nikolaos N. Vlassis WaiChing Sun AI4CE DiffM 14 46 0 24 Feb 2023
Variational Laplace Autoencoders Yookoon Park C. Kim Gunhee Kim BDL DRL 23 21 0 30 Nov 2022
CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds Jesse C. Cresswell Brendan Leigh Ross G. Loaiza-Ganem H. Reyes-González Marco Letizia Anthony L. Caterini 17 36 0 23 Nov 2022
EraseNet: A Recurrent Residual Network for Supervised Document Cleaning Yashowardhan Shinde Kishore Kulkarni Sachin Kuberkar 19 0 0 03 Oct 2022
Gromov-Wasserstein Autoencoders Nao Nakagawa Ren Togo Takahiro Ogawa Miki Haseyama GAN DRL 15 11 0 15 Sep 2022
Bayesian Neural Network Inference via Implicit Models and the Posterior Predictive Distribution J. Dabrowski D. Pagendam UQCV BDL 16 0 0 06 Sep 2022
Adversarial Bayesian Simulation YueXing Wang Veronika Rovcková GAN BDL 24 5 0 25 Aug 2022
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences Mubashir Imran Hongzhi Yin Tong Chen Nguyen Quoc Viet Hung Alexander Zhou Kai Zheng 27 69 0 28 Jul 2022
Sliced Wasserstein Variational Inference Mingxuan Yi Song Liu 17 19 0 26 Jul 2022
Correcting Model Bias with Sparse Implicit Processes Simón Rodríguez Santana Luis A. Ortega Andrés Daniel Hernández-Lobato B. Zaldívar BDL 17 0 0 21 Jul 2022
Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse Sachit Menon David M. Blei Carl Vondrick DRL 14 6 0 19 Jul 2022
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility Behrooz Razeghi Flavio du Pin Calmon Deniz Gunduz S. Voloshynovskiy 27 15 0 11 Jul 2022
AS-IntroVAE: Adversarial Similarity Distance Makes Robust IntroVAE Chang-Tien Lu Shen Zheng Zirui Wang O. Dib Gaurav Gupta 29 3 0 28 Jun 2022