Variational Autoencoders

Also known as VAE

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10 papers in the last four weeks, up 25% on the four weeks before. 0.1% of all new papers.

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The Diffusion Encoder
May 13, 2026Akhil Premkumar, Sarah LucioniVariational Autoencoders Diffusion Models
Independent Researcher
Lost and Found in Translation: Variational Diagnostics for Neural Codebook Channels
May 13, 2026Yusuke HayashiVariational Autoencoders
Artificial Life Institute
An Elastic Shape Variational Autoencoder for Skeleton Pose Trajectories
May 10, 2026Arafat Rahman, Shashwat Kumar, Laura E. Barnes +1Variational Autoencoders Skeleton-Based Action Recognition
Systems and Information Engineering, University of Virginia, Charlottesville, VA, USA · Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA · Dept. of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, USA
Continuous First, Discrete Later: VQ-VAEs Without Dimensional Collapse
May 7, 2026Xinyu Zhao, Nikita Karagodin, Hamed Hassani +3Variational Autoencoders Rate-Distortion Theory
MIT
Molecules Meet Language: Confound-Aware Representation Learning and Chemical Property Steering in Transformer-VAE Latent Spaces
May 7, 2026Zakaria Elabid, Jan Andrzejewski, Bartosz Brzoza +1Variational Autoencoders Molecular Generation
Helmholtz-Zentrum Dresden-Rossendorf Center for Advanced Systems Understanding
Multimodal Deep Generative Model for Semi-Supervised Learning under Class Imbalance
May 7, 2026Heegeon Yoon, Heeyoung KimVariational Autoencoders Class-Imbalanced Learning
Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
A Testable Certificate for Constant Collapse in Teacher-Guided VAEs
May 7, 2026Zegu Zhang, Jianhua Peng, Jian ZhangVariational Autoencoders Posterior Collapse
Independent Researcher · school of computing, Southeast University
Video Generation with Predictive Latents
May 4, 2026Yian Zhao, Feng Wang, Qiushan Guo +4Variational Autoencoders Predictive Coding
ByteDance Seed · Tsinghua University · Peking University
Sparse Representation Learning for Vessels
May 2, 2026Chinmay Prabhakar, Bastian Wittmann, Paul Büschl +3Variational Autoencoders 3D Medical Imaging
Department of Quantitative Biomedicine, University of Zurich, Switzerland · ETH AI Center, ETH Zurich, Switzerland · Department of Diagnostic Radiology, National University of Singapore, Singapore
Learning Multimodal Energy-Based Model with Multimodal Variational Auto-Encoder via MCMC Revision
May 1, 2026Jiali Cui, Zhiqiang Lao, Heather YuVariational Autoencoders Markov Chain Monte Carlo
Basking Ridge, New Jersey, USA Futurewei Technologies Inc · Basking Ridge, New Jersey, USA2026 Futurewei Technologies Inc
Beyond Gaussian Bottlenecks: Topologically Aligned Encoding of Vision-Transformer Feature Spaces
Apr 30, 2026Andrew Bond, Ilkin Umut Melanlioglu, Erkut Erdem +1Variational Autoencoders Hyperspherical Representation Learning
Department of Computer Engineering, Kocı University, Istanbul, Turkey · KUIS AI Research Center, Istanbul, Turkey · Department of Electrical and Electronics Engineering, Kocı University, Istanbul, Turkey +1
Interpretable EEG Microstate Discovery via Variational Deep Embedding: A Systematic Architecture Search with Multi-Quadrant Evaluation
Apr 29, 2026Saheed Faremi, Andrea Visentin, Luca LongoVariational Autoencoders Electroencephalography
School of Computer Science and Information Technology, University College Cork, Western Road, Cork, T12 XF62, Ireland · Artificial Intelligence and Cognitive Load Research Lab, University College Cork, Ireland · Insight RI Research Centre for Data Analytics, University College Cork, Ireland
AlphaJet: Automated Conceptual Aircraft Synthesis via Disentangled Generative Priors and Topology-Preserving Evolutionary Search
Apr 29, 2026Boris KriukVariational Autoencoders 3D Shape Generation
Hong Kong University of Science and Technology Clear Water Bay, Hong Kong, HKSAR
VAE-Inf: A statistically interpretable generative paradigm for imbalanced classification
Apr 28, 2026Hongfei Wu, Ruijian Han, Yancheng YuanVariational Autoencoders Class-Imbalanced Learning
Department of Data Science and Artificial Intelligence The Hong Kong Polytechnic University · Department of Applied Mathematics The Hong Kong Polytechnic University
Reparameterization through Coverings and Topological Weight Priors
Apr 26, 2026Maxim Beketov, Pavel SnopovVariational Autoencoders Variational Inference
CLVAE: A Variational Autoencoder for Long-Term Customer Revenue Forecasting
Apr 24, 2026Jeffrey Näf, Riana Valera Mbelson, Markus MeiererIrregular Time-Series Modeling Variational Autoencoders
Research Institute for Statistics and Information Science, University of Geneva · Institute of Management, University of Geneva
Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the Era of Generative AI
Apr 23, 2026Hieu Man, Van-Cuong Pham, Nghia Trung Ngo +2Variational Autoencoders Disentangled Representation Learning
University of Oregon, OR, USA · Adobe Research, CA, USA
A Variational Latent-Space Framework for Uncertainty-Aware Spectral Image Emulation
Mar 23, 2026Chedly Ben Azizi, Claire Guilloteau, Gilles Roussel +1Neural Surrogate Modeling Variational Autoencoders
Univ. Littoral Côte d’Opale, LISIC – UR 4491, 62219, Longuenesse, France
Implementation of Quantum Implicit Neural Representation in Deterministic and Probabilistic Autoencoders for Image Reconstruction/Generation Tasks
Mar 6, 2026Saadet Müzehher ErenVariational Autoencoders Quantum Generative Modeling
Department of Physics, Izmir Institute of Technology, Gülbahçe, Urla, 35430, Izmir, Turkey.
Multiparameter Uncertainty Mapping in Quantitative Molecular MRI using a Physics-Structured Variational Autoencoder (PS-VAE)
Feb 3, 2026Alex Finkelstein, Ron Moneta, Or Zohar +4Magnetic Resonance Imaging Uncertainty Quantification
School of Biomedical Engineering, Tel-Aviv University, Tel-Aviv, Israel · Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel · School of Biochemistry, Neurobiology, and Biophysics, Tel-Aviv University, Tel-Aviv, Israel +1
Variational Sparse Paired Autoencoders (vsPAIR) for Inverse Problems and Uncertainty Quantification
Feb 3, 2026Jack Michael Solomon, Rishi Leburu, Matthias ChungVariational Autoencoders Uncertainty Quantification
Emory University Department of Mathematics
XFACTORS: Disentangled Information Bottleneck via Contrastive Supervision
Jan 29, 2026Alexandre Myara, Nicolas Bourriez, Thomas Boyer +3Variational Autoencoders Disentangled Representation Learning
ENS Paris
VENI: Variational Encoder for Natural Illumination
Jan 20, 2026Paul Walker, James A. D. Gardner, Andreea Ardelean +2Variational Autoencoders Inverse Rendering
Friedrich-Alexander-Universität Erlangen-Nürnberg · University of York
Distribution Matching Variational AutoEncoder
Dec 8, 2025Sen Ye, Jianning Pei, Mengde Xu +4Variational Autoencoders Generative Modeling
State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University · University of Chinese Academy of Sciences · Tencent +1
Delving into Latent Spectral Biasing of Video VAEs for Superior Diffusability
Dec 5, 2025Shizhan Liu, Xinran Deng, Zhuoyi Yang +3Variational Autoencoders Spectral Regularization
Zhipu AI, Beijing, China · University of Chinese Academy of Sciences, Beijing, China · Tsinghua University, Beijing, China
DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy
Aug 16, 2025Frederik L. Dennig, Daniel A. KeimVariational Autoencoders Uncertainty Quantification
University of Konstanz
L-GTA: Latent Generative Modeling for Time Series Augmentation
Jul 31, 2025Luis Roque, Vitor Cerqueira, Carlos Soares +1Variational Autoencoders Synthetic Data Augmentation
Faculdade de Engenharia da Universidade do Porto, Porto, Portugal · University of Coimbra, Coimbra, Portugal · Fraunhofer Portugal AICOS, Portugal +1
Spherical Cauchy Variational Autoencoders: Heavy Angular Tails and Exact KL Evaluation
Jun 26, 2025Lukas Sablica, Kurt HornikVariational Autoencoders Hyperspherical Representation Learning
Institute for Statistics and Mathematics Vienna University of Economics and Business Austria
Cross-Layer Discrete Concept Discovery for Interpreting Language Models
Jun 24, 2025Ankur Garg, Xuemin Yu, Hassan Sajjad +1Variational Autoencoders LLM Interpretability
Latent Space Analysis for Interpretable Uncertainty in Melanoma Classification
Jun 23, 2025Ciro Listone, Aniello MuranoVariational Autoencoders Skin Lesion Classification
University of Naples Federico II, Naples, Italy.

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The Diffusion Encoder

Akhil Premkumar, Sarah Lucioni

Independent Researcher

Variational Autoencoders Diffusion Models

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We construct a new kind of encoder, leveraging the expressive power of diffusion models. In a traditional variational autoencoder, the encoder and decoder jointly negotiate a latent representation of the input. This is made possible by the reparameterization trick, which simplifies training at the cost of restricting the encoder to a simple family of distributions. Replacing this encoder with a diffusion model requires rethinking how the decoder pressure can be transmitted back to the encoder, given that they tend to update their internal estimates of the latent in opposing directions. We solve this problem with an alternating training scheme, inspired by the expectation-maximization algorithm. Our method enables more reliable synchronization between encoder and decoder, while preserving the simple and efficient training objective of standard diffusion models.

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