Cover Image

CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jung, Hee-Jun, Jeong, Jaehyoung, Kim, Kangil
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Multimodal hierarchical Variational AutoEncoders with Factor Analysis latent space
by: Guerrero-López, Alejandro, et al.
Published: (2022)

Representation Learning of Lab Values via Masked AutoEncoders
by: Restrepo, David, et al.
Published: (2025)

Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
by: Li, Zhiwei, et al.
Published: (2024)

AEMLO: AutoEncoder-Guided Multi-Label Oversampling
by: Zhou, Ao, et al.
Published: (2024)

mDAE : modified Denoising AutoEncoder for missing data imputation
by: Dupuy, Mariette, et al.
Published: (2024)

$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
by: Wu, Xingjian, et al.
Published: (2025)

Feature Structure Distillation with Centered Kernel Alignment in BERT Transferring
by: Jung, Hee-Jun, et al.
Published: (2022)

DiA-gnostic VLVAE: Disentangled Alignment-Constrained Vision Language Variational AutoEncoder for Robust Radiology Reporting with Missing Modalities
by: Shaik, Nagur Shareef, et al.
Published: (2025)

Learning Network Representations with Disentangled Graph Auto-Encoder
by: Fan, Di, et al.
Published: (2024)

Revisiting Softmax Masking: Stop Gradient for Enhancing Stability in Replay-based Continual Learning
by: Kim, Hoyong, et al.
Published: (2023)

Disentangled Representation via Variational AutoEncoder for Continuous Treatment Effect Estimation
by: Cui, Ruijing, et al.
Published: (2024)

Asymptotic Midpoint Mixup for Margin Balancing and Moderate Broadening
by: Kim, Hoyong, et al.
Published: (2024)

Ranking-Enhanced Anomaly Detection Using Active Learning-Assisted Attention Adversarial Dual AutoEncoders
by: Benabderrahmane, Sidahmed, et al.
Published: (2025)

ColorMAE: Exploring data-independent masking strategies in Masked AutoEncoders
by: Hinojosa, Carlos, et al.
Published: (2024)

CwA-T: A Channelwise AutoEncoder with Transformer for EEG Abnormality Detection
by: Zhao, Youshen, et al.
Published: (2024)

NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
by: Irshad, Muhammad Zubair, et al.
Published: (2024)

Multiple-Input Variational Auto-Encoder for Anomaly Detection in Heterogeneous Data
by: Dinh, Phai Vu, et al.
Published: (2025)

Learning Multimodal Energy-Based Model with Multimodal Variational Auto-Encoder via MCMC Revision
by: Cui, Jiali, et al.
Published: (2026)

Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
by: Kim, Yeongmin, et al.
Published: (2024)

Multitask Extension of Geometrically Aligned Transfer Encoder
by: Ko, Sung Moon, et al.
Published: (2024)

Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks
by: Ko, Sung Moon, et al.
Published: (2023)

Rethinking Disentanglement under Dependent Factors of Variation
by: Almudévar, Antonio, et al.
Published: (2024)

FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoder
by: Jiang, Yuchen, et al.
Published: (2024)

A Contrastive Variational AutoEncoder for NSCLC Survival Prediction with Missing Modalities
by: Zanitti, Michele, et al.
Published: (2026)

A Markov Random Field Multi-Modal Variational AutoEncoder
by: Oubari, Fouad, et al.
Published: (2024)

Physically Interpretable Representation Learning with Gaussian Mixture Variational AutoEncoder (GM-VAE)
by: Fan, Tiffany, et al.
Published: (2025)

Discrepancy-Aware Graph Mask Auto-Encoder
by: Zheng, Ziyu, et al.
Published: (2025)

Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoder
by: Zhang, Yingji, et al.
Published: (2022)

SOSAE: Self-Organizing Sparse AutoEncoder
by: Modi, Sarthak Ketanbhai, et al.
Published: (2025)

Knowledge-integrated AutoEncoder Model
by: Lazebnik, Teddy, et al.
Published: (2023)

HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
by: Xu, Zhuo, et al.
Published: (2024)

Heterogeneous Graph Auto-Encoder for CreditCard Fraud Detection
by: Singh, Moirangthem Tiken, et al.
Published: (2024)

Towards Foundation Auto-Encoders for Time-Series Anomaly Detection
by: González, Gastón García, et al.
Published: (2025)

Disentanglement of Variations with Multimodal Generative Modeling
by: Zhang, Yijie, et al.
Published: (2025)

RCNet: $ΔΣ$ IADCs as Recurrent AutoEncoders
by: Verdant, Arnaud, et al.
Published: (2025)

Disentanglement in Difference: Directly Learning Semantically Disentangled Representations by Maximizing Inter-Factor Differences
by: Zhang, Xingshen, et al.
Published: (2025)

Norm Augmented Graph AutoEncoders for Link Prediction
by: Liu, Yunhui, et al.
Published: (2025)

GED-Consistent Disentanglement of Aligned and Unaligned Substructures for Graph Similarity Learning
by: Zhan, Zhentao, et al.
Published: (2025)

Twin Auto-Encoder Model for Learning Separable Representation in Cyberattack Detection
by: Dinh, Phai Vu, et al.
Published: (2024)