Image de couverture de livre

L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ozcan, Hazal Mogultay, Kalkan, Sinan, Yarman-Vural, Fatos T.
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Modelling the Human Intuition to Complete the Missing Information in Images for Convolutional Neural Networks
par: Koç, Robin, et autres
Publié: (2024)

Denoising Multi-Beta VAE: Representation Learning for Disentanglement and Generation
par: Uppal, Anshuk, et autres
Publié: (2025)

Closed-Loop Unsupervised Representation Disentanglement with $β$-VAE Distillation and Diffusion Probabilistic Feedback
par: Jin, Xin, et autres
Publié: (2024)

Intrinsic Dimensionality as a Model-Free Measure of Class Imbalance
par: Eser, Çağrı, et autres
Publié: (2025)

Beta-Sigma VAE: Separating beta and decoder variance in Gaussian variational autoencoder
par: Kim, Seunghwan, et autres
Publié: (2024)

HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes
par: Takida, Yuhta, et autres
Publié: (2023)

DiA-gnostic VLVAE: Disentangled Alignment-Constrained Vision Language Variational AutoEncoder for Robust Radiology Reporting with Missing Modalities
par: Shaik, Nagur Shareef, et autres
Publié: (2025)

CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement
par: Ma, Chenrui, et autres
Publié: (2025)

LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
par: Sadat, Seyedmorteza, et autres
Publié: (2024)

EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders
par: Baykal, Gulcin, et autres
Publié: (2023)

Improved AutoEncoder with LSTM module and KL divergence
par: Huang, Wei, et autres
Publié: (2024)

Behavior-Centric Extraction of Scenarios from Highway Traffic Data and their Domain-Knowledge-Guided Clustering using CVQ-VAE
par: Roßberg, Niklas, et autres
Publié: (2026)

Machine Learning Fairness for Depression Detection using EEG Data
par: Kwok, Angus Man Ho, et autres
Publié: (2025)

Part-based Quantitative Analysis for Heatmaps
par: Tursun, Osman, et autres
Publié: (2024)

Gaze4HRI: Zero-shot Benchmarking Gaze Estimation Neural-Networks for Human-Robot Interaction
par: Sezer, Berk, et autres
Publié: (2026)

Disentanglement with Factor Quantized Variational Autoencoders
par: Baykal, Gulcin, et autres
Publié: (2024)

Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
par: Ristea, Nicolae-Catalin, et autres
Publié: (2023)

Variational Self-Supervised Contrastive Learning Using Beta Divergence
par: Yavuz, Mehmet Can, et autres
Publié: (2023)

The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations
par: Haselhoff, Anselm, et autres
Publié: (2024)

DiffEnc: Variational Diffusion with a Learned Encoder
par: Nielsen, Beatrix M. G., et autres
Publié: (2023)

Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Experts
par: Liu, Zhili, et autres
Publié: (2024)

SepVAE: a contrastive VAE to separate pathological patterns from healthy ones
par: Louiset, Robin, et autres
Publié: (2023)

CE-VAE: Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement
par: Pucci, Rita, et autres
Publié: (2024)

Disentangled Representation Learning with Transmitted Information Bottleneck
par: Dang, Zhuohang, et autres
Publié: (2023)

Disentangled Representation Learning with the Gromov-Monge Gap
par: Uscidda, Théo, et autres
Publié: (2024)

Learning on the Manifold: Unlocking Standard Diffusion Transformers with Representation Encoders
par: Kumar, Amandeep, et autres
Publié: (2026)

Disentangled Representation Learning via Modular Compositional Bias
par: Jung, Whie, et autres
Publié: (2025)

Unsupervised Multiple Domain Translation through Controlled Disentanglement in Variational Autoencoder
par: Almudévar, Antonio, et autres
Publié: (2024)

NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
par: Irshad, Muhammad Zubair, et autres
Publié: (2024)

DeCo-VAE: Learning Compact Latents for Video Reconstruction via Decoupled Representation
par: Yin, Xiangchen, et autres
Publié: (2025)

Detecting AutoEncoder is Enough to Catch LDM Generated Images
par: Vesnin, Dmitry, et autres
Publié: (2024)

MVAR: MultiVariate AutoRegressive Air Pollutants Forecasting Model
par: Fan, Xu, et autres
Publié: (2025)

Quantize-then-Rectify: Efficient VQ-VAE Training
par: Zhang, Borui, et autres
Publié: (2025)

Tripod: Three Complementary Inductive Biases for Disentangled Representation Learning
par: Hsu, Kyle, et autres
Publié: (2024)

Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
par: Hahm, Jaehoon, et autres
Publié: (2024)

Prompt Disentanglement via Language Guidance and Representation Alignment for Domain Generalization
par: Cheng, De, et autres
Publié: (2025)

Domain Generalization in-the-Wild: Disentangling Classification from Domain-Aware Representations
par: Son, Ha Min, et autres
Publié: (2025)

Semimage: HSV-Based Semantic Image Encoding for Disentangled Text Representation
par: Zare, Mohammad
Publié: (2025)

Improving the Reconstruction of Disentangled Representation Learners via Multi-Stage Modeling
par: Srivastava, Akash, et autres
Publié: (2020)

On the Learnability of Out-of-distribution Detection
par: Fang, Zhen, et autres
Publié: (2024)