VAE with a VampPrior

19 May 2017

Papers citing "VAE with a VampPrior"

50 / 109 papers shown

Title
Good Things Come in Pairs: Paired Autoencoders for Inverse Problems Matthias Chung B. Peters Michael Solomon 31 0 0 10 May 2025
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Theodoros Kouzelis Ioannis Kakogeorgiou Spyros Gidaris N. Komodakis DRL 75 5 0 17 Feb 2025
Value of Information and Reward Specification in Active Inference and POMDPs Ran Wei 49 3 0 13 Aug 2024
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks Zhangkai Wu Xuhui Fan Jin Li Zhilin Zhao Hui Chen LongBing Cao 44 2 0 24 May 2024
On Kernel-based Variational Autoencoder Tian Qin Wei-Min Huang DRL BDL 58 1 0 21 May 2024
Beyond Traditional Single Object Tracking: A Survey Omar Abdelaziz Mohamed Shehata Mohamed Mohamed 35 0 0 16 May 2024
Boosting Flow-based Generative Super-Resolution Models via Learned Prior Li-Yuan Tsao Yi-Chen Lo Chia-Che Chang Hao-Wei Chen Roy Tseng Chien Feng Chun-Yi Lee SupR 19 4 0 16 Mar 2024
Graph Out-of-Distribution Generalization via Causal Intervention Qitian Wu Fan Nie Chenxiao Yang Tianyi Bao Junchi Yan OODD OOD AI4CE 35 18 0 18 Feb 2024
The VampPrior Mixture Model Andrew Stirn David A. Knowles BDL 24 1 0 06 Feb 2024
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 29 4 0 13 Nov 2023
Diffusion Models with Deterministic Normalizing Flow Priors Mohsen Zand Ali Etemad Michael A. Greenspan DiffM 29 2 0 03 Sep 2023
Explainable Recommender with Geometric Information Bottleneck Hanqi Yan Lin Gui Menghan Wang Kun Zhang Yulan He 13 2 0 09 May 2023
TC-VAE: Uncovering Out-of-Distribution Data Generative Factors Cristian Meo Anirudh Goyal Justin Dauwels DRL CoGe CML 27 1 0 08 Apr 2023
Variational Inference for Longitudinal Data Using Normalizing Flows Clément Chadebec S. Allassonnière BDL DRL 24 1 0 24 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
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 29 504 0 07 Mar 2023
Discouraging posterior collapse in hierarchical Variational Autoencoders using context Anna Kuzina Jakub M. Tomczak BDL DRL 23 1 0 20 Feb 2023
Variational Mixture of HyperGenerators for Learning Distributions Over Functions Batuhan Koyuncu Pablo Sánchez-Martín I. Peis Pablo Martínez Olmos Isabel Valera BDL GAN DRL 14 5 0 13 Feb 2023
Prior Density Learning in Variational Bayesian Phylogenetic Parameters Inference Amine M. Remita Golrokh Vitae Abdoulaye Baniré Diallo BDL 16 0 0 06 Feb 2023
ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models Dongha Kim Jaesung Hwang Jongjin Lee Kunwoong Kim Yongdai Kim OODD 26 1 0 11 Jan 2023
eVAE: Evolutionary Variational Autoencoder Zhangkai Wu LongBing Cao Lei Qi BDL DRL 27 10 0 01 Jan 2023
Latent Space Diffusion Models of Cryo-EM Structures Karsten Kreis Tim Dockhorn Zihao Li Ellen D. Zhong DiffM 27 15 0 25 Nov 2022
Hub-VAE: Unsupervised Hub-based Regularization of Variational Autoencoders Priya Mani C. Domeniconi BDL SSL DRL 18 0 0 18 Nov 2022
Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion Models Simon Alexanderson Rajmund Nagy Jonas Beskow G. Henter DiffM VGen 22 165 0 17 Nov 2022
Clinically Plausible Pathology-Anatomy Disentanglement in Patient Brain MRI with Structured Variational Priors Anjun Hu J. Falet Brennan Nichyporuk Changjian Shui Douglas L. Arnold Sotirios A. Tsaftaris Tal Arbel 19 2 0 15 Nov 2022
Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment Chenxiao Yang Qitian Wu Qingsong Wen Zhiqiang Zhou Liang Sun Junchi Yan OODD OOD 17 20 0 24 Oct 2022
A Geometric Perspective on Variational Autoencoders Clément Chadebec S. Allassonnière DRL 24 21 0 15 Sep 2022
Gromov-Wasserstein Autoencoders Nao Nakagawa Ren Togo Takahiro Ogawa Miki Haseyama GAN DRL 15 11 0 15 Sep 2022
On the Convergence of the ELBO to Entropy Sums Jörg Lücke Jan Warnken 31 3 0 07 Sep 2022
Tackling Multimodal Device Distributions in Inverse Photonic Design using Invertible Neural Networks Michel Frising J. Bravo-Abad F. Prins 17 2 0 29 Aug 2022
Synthetic Data in Human Analysis: A Survey Indu Joshi Marcel Grimmer Christian Rathgeb Christoph Busch F. Brémond A. Dantcheva 20 46 0 19 Aug 2022
Innovations in Neural Data-to-text Generation: A Survey Mandar Sharma Ajay K. Gogineni Naren Ramakrishnan 29 10 0 25 Jul 2022
Generalized Identifiability Bounds for Mixture Models with Grouped Samples Robert A. Vandermeulen René Saitenmacher 20 2 0 22 Jul 2022
Comparing the latent space of generative models Andrea Asperti Valerio Tonelli DRL 21 11 0 14 Jul 2022
Sample-dependent Adaptive Temperature Scaling for Improved Calibration Thomas Joy Francesco Pinto Ser-Nam Lim Philip H. S. Torr P. Dokania UQCV 19 30 0 13 Jul 2022
Text to Image Synthesis using Stacked Conditional Variational Autoencoders and Conditional Generative Adversarial Networks Haileleol Tibebu Aadin Malik V. D. Silva GAN 18 7 0 06 Jul 2022
Identifiability of deep generative models without auxiliary information Bohdan Kivva Goutham Rajendran Pradeep Ravikumar Bryon Aragam DRL 23 48 0 20 Jun 2022
Variational Autoencoders Without the Variation Gregory A. Daly J. Fieldsend G. Tabor 17 2 0 01 Mar 2022
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation Zhuang Li Lizhen Qu Qiongkai Xu Tongtong Wu Tianyang Zhan Gholamreza Haffari CoGe UD DRL 36 4 0 27 Feb 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations Oskar Kviman Harald Melin Hazal Koptagel Victor Elvira J. Lagergren DRL 65 17 0 22 Feb 2022
VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming Eleonora Misino G. Marra Emanuele Sansone 18 21 0 07 Feb 2022
Generative Kernel Continual learning Mohammad Mahdi Derakhshani Xiantong Zhen Ling Shao Cees G. M. Snoek BDL VLM 33 0 0 26 Dec 2021
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification Junwen Bai Shufeng Kong Carla P. Gomes SSL DRL 19 36 0 02 Dec 2021
Contrastively Disentangled Sequential Variational Autoencoder M. Kiener Weiran Wang Michael Gerndt CoGe DRL 19 40 0 22 Oct 2021
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction Moitreya Chatterjee N. Ahuja A. Cherian UQCV VGen BDL 36 17 0 06 Oct 2021
Towards Better Data Augmentation using Wasserstein Distance in Variational Auto-encoder Zichuan Chen Peng Liu DRL 8 0 0 30 Sep 2021
LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders Xiaoyu Chen Chen Gong Qiang He Xinwen Hou Yu Liu 28 1 0 22 Sep 2021
Deep Dive into Semi-Supervised ELBO for Improving Classification Performance Fahim Faisal Niloy M. A. Amin Akm Mahbubur Rahman A. Ali DRL 22 0 0 29 Aug 2021
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications Yeli Feng Daniel Jun Xian Ng Arvind Easwaran OODD 25 17 0 25 Jul 2021
Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning Chandrajit L. Bajaj A. Roy Haoran Zhang BDL DRL 21 1 0 25 Jul 2021