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Variational Autoencoders

10 papers

Papers per year

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Papers

Explainable Disentangled Representation Learning for Generalizable Authorship Attribution in the Era of Generative AI ACL 2026
BETA: Resting-state fMRI Biotypes for tDCS Efficacy in Anxiety Among Older Adults At Risk For Alzheimer’s Disease MIDL 2026
V-VAE: A Variational Auto Encoding Framework Towards Fine-Grained Control over Human-Like Chat EMNLP 2025
Doubly Hierarchical Geometric Representations for Strand-based Human Hairstyle Generation NIPS 2024
Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping AAAI 2023
Equivariant Priors for compressed sensing with unknown orientation ICML 2022
Generalized Zero-Shot Learning via Over-Complete Distribution CVPR 2020
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model IJCAI 2020
Learning Flexible Latent Representations via Encapsulated Variational Encoders AAAI 2019
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders CVPR 2019