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Diagnosing and Enhancing VAE Models

14 March 2019

Papers citing "Diagnosing and Enhancing VAE Models"

50 / 242 papers shown

Title
DGAE: Diffusion-Guided Autoencoder for Efficient Latent Representation Learning Dongxu Liu Yuang Peng Haomiao Tang Yuwei Chen Chunrui Han Zheng Ge Daxin Jiang Mingxue Liao DiffM 74 0 0 11 Jun 2025
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 209 0 0 24 Apr 2025
Towards Unified and Lossless Latent Space for 3D Molecular Latent Diffusion Modeling Yanchen Luo Zhiyuan Liu Yi Zhao Changhao Nai Kenji Kawaguchi Tat-Seng Chua Xiang Wang Yang Zhang Xiang Wang MedIm 158 0 0 19 Mar 2025
Probabilistic Forecasting for Dynamical Systems with Missing or Imperfect Data Siddharth Rout Eldad Haber Stéphane Gaudreault AI4TS AI4CE 135 0 0 15 Mar 2025
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions Zhong Li Qi Huang Lincen Yang Jiayang Shi Zhao Yang Niki van Stein Thomas Bäck M. Leeuwen DiffM 118 0 0 24 Feb 2025
Ensemble Kalman filter in latent space using a variational autoencoder pair I. Pasmans Yumeng Chen Tobias S. Finn Marc Bocquet A. Carrassi 116 1 0 18 Feb 2025
Diffusion Model from Scratch Wang Zhen Dong Yunyun DiffM 106 0 0 14 Dec 2024
LMDM:Latent Molecular Diffusion Model For 3D Molecule Generation Xiang Chen DiffM 119 0 0 05 Dec 2024
Comparison of Generative Learning Methods for Turbulence Modeling Claudia Drygala Edmund Ross F. Mare Hanno Gottschalk AI4CE 150 3 0 25 Nov 2024
A Geometric Framework for Understanding Memorization in Generative Models Brendan Leigh Ross Hamidreza Kamkari Tongzi Wu Rasa Hosseinzadeh Zhaoyan Liu George Stein Jesse C. Cresswell Gabriel Loaiza-Ganem 136 9 0 31 Oct 2024
Cliqueformer: Model-Based Optimization with Structured Transformers J. Kuba Pieter Abbeel Sergey Levine OffRL AI4CE 161 3 0 17 Oct 2024
Geometric Representation Condition Improves Equivariant Molecule Generation Zian Li Cai Zhou Xiyuan Wang Xingang Peng Muhan Zhang 104 2 0 04 Oct 2024
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model Zhenhao Jiang Jicong Fan FaML 58 1 0 18 Sep 2024
Beta-Sigma VAE: Separating beta and decoder variance in Gaussian variational autoencoder Seunghwan Kim Seungkyu Lee DRL 55 0 0 14 Sep 2024
On the Convergence Analysis of Over-Parameterized Variational Autoencoders: A Neural Tangent Kernel Perspective Li Wang Wei Huang DRL 99 0 0 09 Sep 2024
Resultant: Incremental Effectiveness on Likelihood for Unsupervised Out-of-Distribution Detection Yewen Li Chaojie Wang Xiaobo Xia Xu He Ruyi An Dong Li Tongliang Liu Bo An Xinrun Wang OODD 71 0 0 05 Sep 2024
Diff-PCC: Diffusion-based Neural Compression for 3D Point Clouds Kai Liu Kang-Soo You Pan Gao DiffM 67 1 0 20 Aug 2024
Distribution-Aware Replay for Continual MRI Segmentation Nick Lemke Camila González Anirban Mukhopadhyay Martin Mundt OOD 82 0 0 30 Jul 2024
An Uncertainty-aware Deep Learning Framework-based Robust Design Optimization of Metamaterial Units Zihan Wang Anindya Bhaduri Hongyi Xu Liping Wang 67 2 0 19 Jul 2024
NEBULA: Neural Empirical Bayes Under Latent Representations for Efficient and Controllable Design of Molecular Libraries E. Nowara Pedro H. O. Pinheiro Sai Pooja Mahajan Omar Mahmood Andrew Watkins Saeed Saremi Michael R. Maser BDL DiffM 66 2 0 03 Jul 2024
Generative Topological Networks Alona Levy-Jurgenson Z. Yakhini 140 0 0 21 Jun 2024
Lift Your Molecules: Molecular Graph Generation in Latent Euclidean Space Mohamed Amine Ketata Nicholas Gao Johanna Sommer Tom Wollschlager Stephan Günnemann DiffM 107 2 0 15 Jun 2024
Improving SMOTE via Fusing Conditional VAE for Data-adaptive Noise Filtering Sungchul Hong SeungHwan An Jong-June Jeon 60 1 0 30 May 2024
Learning Latent Space Hierarchical EBM Diffusion Models Jiali Cui Tian Han DiffM 107 3 0 22 May 2024
Functional Imaging Constrained Diffusion for Brain PET Synthesis from Structural MRI Minhui Yu Mengqi Wu Ling Yue Andrea Bozoki Mingxia Liu DiffM MedIm 74 1 0 03 May 2024
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 97 4 0 29 Feb 2024
Functional Graphical Models: Structure Enables Offline Data-Driven Optimization J. Kuba Masatoshi Uehara Pieter Abbeel Sergey Levine AI4CE 110 6 0 08 Jan 2024
Adaptive Compression of the Latent Space in Variational Autoencoders G. Sejnova M. Vavrecka Karla Stepanova 50 1 0 11 Dec 2023
Variational Bayes image restoration with compressive autoencoders Maud Biquard Marie Chabert Thomas Oberlin 62 2 0 29 Nov 2023
Compact and Intuitive Airfoil Parameterization Method through Physics-aware Variational Autoencoder Yu-Eop Kang Dawoon Lee K. Yee 58 0 0 18 Nov 2023
Score-based generative models learn manifold-like structures with constrained mixing Wenliang Kevin Li Ben Moran DiffM 90 8 0 16 Nov 2023
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 61 4 0 13 Nov 2023
BrainNetDiff: Generative AI Empowers Brain Network Generation via Multimodal Diffusion Model Yongcheng Zong Shuqiang Wang MedIm DiffM 48 0 0 09 Nov 2023
Adaptive Latent Diffusion Model for 3D Medical Image to Image Translation: Multi-modal Magnetic Resonance Imaging Study Jonghun Kim Hyunjin Park MedIm 123 40 0 01 Nov 2023
Joint Distributional Learning via Cramer-Wold Distance SeungHwan An Jong-June Jeon 58 0 0 25 Oct 2023
Canonical normalizing flows for manifold learning Kyriakos Flouris E. Konukoglu DRL 121 9 0 19 Oct 2023
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML OOD 216 2 0 16 Oct 2023
Learning Hierarchical Features with Joint Latent Space Energy-Based Prior Jiali Cui Ying Nian Wu Tian Han BDL 68 6 0 14 Oct 2023
Learning Energy-Based Prior Model with Diffusion-Amortized MCMC Peiyu Yu Y. Zhu Sirui Xie Xiaojian Ma Ruiqi Gao Song-Chun Zhu Ying Nian Wu DiffM 75 13 0 05 Oct 2023
Learning Nonparametric High-Dimensional Generative Models: The Empirical-Beta-Copula Autoencoder Maximilian Coblenz Oliver Grothe Fabian Kächele SyDa DRL 71 1 0 18 Sep 2023
ControlMat: A Controlled Generative Approach to Material Capture Giuseppe Vecchio Rosalie Martin Arthur Roullier Adrien Kaiser Romain Rouffet Valentin Deschaintre T. Boubekeur DiffM 80 40 0 04 Sep 2023
Objective-Agnostic Enhancement of Molecule Properties via Multi-Stage VAE Chenghui Zhou Barnabás Póczós 68 2 0 24 Aug 2023
Hamiltonian GAN Christine Allen-Blanchette GAN AI4CE 66 1 0 22 Aug 2023
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging M. Valiuddin Christiaan Viviers R. V. Sloun Peter H. N. de With Fons van der Sommen UQCV 100 2 0 31 Jul 2023
Complexity Matters: Rethinking the Latent Space for Generative Modeling Tianyang Hu Fei Chen Hong Wang Jiawei Li Wei Cao Jiacheng Sun Zechao Li DiffM 118 10 0 17 Jul 2023
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models Tobias Schröder Zijing Ou Jen Ning Lim Yingzhen Li Sebastian J. Vollmer Andrew B. Duncan 69 7 0 12 Jul 2023
Long-Term Hourly Scenario Generation for Correlated Wind and Solar Power combining Variational Autoencoders with Radial Basis Function Kernels Julio A. S. Dias 15 1 0 27 Jun 2023
Learning Joint Latent Space EBM Prior Model for Multi-layer Generator Jiali Cui Ying Nian Wu Tian Han 79 8 0 10 Jun 2023
Motion-DVAE: Unsupervised learning for fast human motion denoising Guénolé Fiche Simon Leglaive Xavier Alameda-Pineda Renaud Séguier VGen DiffM 3DH 115 3 0 09 Jun 2023
Unscented Autoencoder Faris Janjos Lars Rosenbaum Maxim Dolgov J. Marius Zöllner 63 2 0 08 Jun 2023