:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Shelton, Jacquelyn, Polewski, Przemyslaw, Robel, Alexander, Hoffman, Matthew, Price, Stephen
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2601.00915
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Segmenting objects with Bayesian fusion of active contour models and convnet priors
by: Polewski, Przemyslaw, et al.
Published: (2024)

Robust VAEs via Generating Process of Noise Augmented Data
by: Irobe, Hiroo, et al.
Published: (2024)

Symmetric Equilibrium Learning of VAEs
by: Flach, Boris, et al.
Published: (2023)

Information-theoretic Generalization Analysis for VQ-VAEs: A Role of Latent Variables
by: Futami, Futoshi, et al.
Published: (2025)

Improving the Generation of VAEs with High Dimensional Latent Spaces by the use of Hyperspherical Coordinates
by: Ascarate, Alejandro, et al.
Published: (2025)

Learning Energy-based Variational Latent Prior for VAEs
by: Dutta, Debottam, et al.
Published: (2025)

Enforcing Latent Euclidean Geometry in Single-Cell VAEs for Manifold Interpolation
by: Palma, Alessandro, et al.
Published: (2025)

Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection
by: Williamson, Dane, et al.
Published: (2025)

Enhancing Unimodal Latent Representations in Multimodal VAEs through Iterative Amortized Inference
by: Oshima, Yuta, et al.
Published: (2024)

Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces
by: Moss, Henry B., et al.
Published: (2025)

Prior Learning in Introspective VAEs
by: Athanasiadis, Ioannis, et al.
Published: (2024)

Multiple Invertible and Partial-Equivariant Function for Latent Vector Transformation to Enhance Disentanglement in VAEs
by: Jung, Hee-Jun, et al.
Published: (2025)

Latent Diffusion Model for Generating Ensembles of Climate Simulations
by: Meuer, Johannes, et al.
Published: (2024)

Privacy-preserving datasets by capturing feature distributions with Conditional VAEs
by: Di Salvo, Francesco, et al.
Published: (2024)

Deep Generative Clustering with VAEs and Expectation-Maximization
by: Adipoetra, Michael, et al.
Published: (2025)

Manifold Learning by Mixture Models of VAEs for Inverse Problems
by: Alberti, Giovanni S., et al.
Published: (2023)

NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques
by: Hryniewska-Guzik, Weronika, et al.
Published: (2024)

Adversarial Robustness of VAEs across Intersectional Subgroups
by: Ramanaik, Chethan Krishnamurthy, et al.
Published: (2024)

Commutator-Induced Uncertainty in VAEs
by: Dehdarirad, Tahereh, et al.
Published: (2026)

Embedding-Based Federated Data Sharing via Differentially Private Conditional VAEs
by: Di Salvo, Francesco, et al.
Published: (2025)

Training VAEs Under Structured Residuals
by: Dorta, Gara, et al.
Published: (2018)

Mutual Information Collapse Explains Disentanglement Failure in $β$-VAEs
by: Vu, Minh, et al.
Published: (2026)

Improved Anomaly Detection through Conditional Latent Space VAE Ensembles
by: Åström, Oskar, et al.
Published: (2024)

Disentangling Granularity: An Implicit Inductive Bias in Factorized VAEs
by: Chen, Zihao, et al.
Published: (2025)

Unity by Diversity: Improved Representation Learning in Multimodal VAEs
by: Sutter, Thomas M., et al.
Published: (2024)

Feature Unlearning for Pre-trained GANs and VAEs
by: Moon, Saemi, et al.
Published: (2023)

Continuous First, Discrete Later: VQ-VAEs Without Dimensional Collapse
by: Zhao, Xinyu, et al.
Published: (2026)

Improved Variational Inference in Discrete VAEs using Error Correcting Codes
by: Martínez-García, María, et al.
Published: (2024)

Model Ensembling for Constrained Optimization
by: Globus-Harris, Ira, et al.
Published: (2024)

A Testable Certificate for Constant Collapse in Teacher-Guided VAEs
by: Zhang, Zegu, et al.
Published: (2026)

Direct-Scoring NLG Evaluators Can Use Pairwise Comparisons Too
by: Lawrence, Logan, et al.
Published: (2025)

Constrained Ensemble Exploration for Unsupervised Skill Discovery
by: Bai, Chenjia, et al.
Published: (2024)

Bridging Language, Vision and Action: Multimodal VAEs in Robotic Manipulation Tasks
by: Sejnova, Gabriela, et al.
Published: (2024)

Out-of-Distribution Radar Detection with Complex VAEs: Theory, Whitening, and ANMF Fusion
by: Rouzoumka, Yadang Alexis, et al.
Published: (2026)

Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs
by: Naiman, Ilan, et al.
Published: (2023)

Calibrating Where It Matters: Constrained Temperature Scaling
by: McKenna, Stephen, et al.
Published: (2024)

Training-Free Vector Quantization via Gaussian VAEs
by: Xu, Tongda, et al.
Published: (2025)

MAEO: Multiobjective Animorphic Ensemble Optimization for Scalable Large-scale Engineering Applications
by: Erdem, Omer F., et al.
Published: (2026)

REALITrees: Rashomon Ensemble Active Learning for Interpretable Trees
by: Nguyen, Simon D., et al.
Published: (2026)

STEP-Parts: Geometric Partitioning of Boundary Representations for Large-Scale CAD Processing
by: Fan, Shen, et al.
Published: (2026)