Saved in:
| Main Authors: | Jiang, Yuchen, Wu, Ying, Zhang, Shiyao, Yu, James J. Q. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.09239 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
by: Li, Zhiwei, et al.
Published: (2024)
by: Li, Zhiwei, 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)
by: Wu, Xingjian, et al.
Published: (2025)
Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoder
by: Zhang, Yingji, et al.
Published: (2022)
by: Zhang, Yingji, et al.
Published: (2022)
Multimodal hierarchical Variational AutoEncoders with Factor Analysis latent space
by: Guerrero-López, Alejandro, et al.
Published: (2022)
by: Guerrero-López, Alejandro, et al.
Published: (2022)
A Contrastive Variational AutoEncoder for NSCLC Survival Prediction with Missing Modalities
by: Zanitti, Michele, et al.
Published: (2026)
by: Zanitti, Michele, et al.
Published: (2026)
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder
by: Jung, Hee-Jun, et al.
Published: (2024)
by: Jung, Hee-Jun, et al.
Published: (2024)
Exploring Classical Piano Performance Generation with Expressive Music Variational AutoEncoder
by: Luo, Jing, et al.
Published: (2025)
by: Luo, Jing, et al.
Published: (2025)
Representation Learning of Lab Values via Masked AutoEncoders
by: Restrepo, David, et al.
Published: (2025)
by: Restrepo, David, et al.
Published: (2025)
AEMLO: AutoEncoder-Guided Multi-Label Oversampling
by: Zhou, Ao, et al.
Published: (2024)
by: Zhou, Ao, et al.
Published: (2024)
Physics Informed Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement
by: Martinel, Niki, et al.
Published: (2025)
by: Martinel, Niki, et al.
Published: (2025)
DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation
by: Guo, Zhiqiang, et al.
Published: (2024)
by: Guo, Zhiqiang, et al.
Published: (2024)
mDAE : modified Denoising AutoEncoder for missing data imputation
by: Dupuy, Mariette, et al.
Published: (2024)
by: Dupuy, Mariette, et al.
Published: (2024)
Guiding Evolutionary AutoEncoder Training with Activation-Based Pruning Operators
by: Jorgensen, Steven, et al.
Published: (2025)
by: Jorgensen, Steven, et al.
Published: (2025)
SAEN-BGS: Energy-Efficient Spiking AutoEncoder Network for Background Subtraction
by: Zhang, Zhixuan, et al.
Published: (2025)
by: Zhang, Zhixuan, et al.
Published: (2025)
AudioSAE: Towards Understanding of Audio-Processing Models with Sparse AutoEncoders
by: Aparin, Georgii, et al.
Published: (2026)
by: Aparin, Georgii, et al.
Published: (2026)
CE-VAE: Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement
by: Pucci, Rita, et al.
Published: (2024)
by: Pucci, Rita, et al.
Published: (2024)
Layer-Wise Evolution of Representations in Fine-Tuned Transformers: Insights from Sparse AutoEncoders
by: Nadipalli, Suneel
Published: (2025)
by: Nadipalli, Suneel
Published: (2025)
Hack Me If You Can: Aggregating AutoEncoders for Countering Persistent Access Threats Within Highly Imbalanced Data
by: Benabderrahmane, Sidahmed, et al.
Published: (2024)
by: Benabderrahmane, Sidahmed, et al.
Published: (2024)
Ranking-Enhanced Anomaly Detection Using Active Learning-Assisted Attention Adversarial Dual AutoEncoders
by: Benabderrahmane, Sidahmed, et al.
Published: (2025)
by: Benabderrahmane, Sidahmed, et al.
Published: (2025)
SAEdit: Token-level control for continuous image editing via Sparse AutoEncoder
by: Kamenetsky, Ronen, et al.
Published: (2025)
by: Kamenetsky, Ronen, et al.
Published: (2025)
ColorMAE: Exploring data-independent masking strategies in Masked AutoEncoders
by: Hinojosa, Carlos, et al.
Published: (2024)
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)
by: Zhao, Youshen, et al.
Published: (2024)
SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder
by: Lee, Jaeseong, et al.
Published: (2024)
by: Lee, Jaeseong, et al.
Published: (2024)
Physically Interpretable Representation Learning with Gaussian Mixture Variational AutoEncoder (GM-VAE)
by: Fan, Tiffany, et al.
Published: (2025)
by: Fan, Tiffany, et al.
Published: (2025)
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)
by: Shaik, Nagur Shareef, et al.
Published: (2025)
Distribution Matching Variational AutoEncoder
by: Ye, Sen, et al.
Published: (2025)
by: Ye, Sen, et al.
Published: (2025)
Detecting AI-Generated Images via Contextual Anomaly Estimation in Masked AutoEncoders
by: Jang, Minsuk, et al.
Published: (2025)
by: Jang, Minsuk, et al.
Published: (2025)
T‐VAE: Transformer‐Based Variational AutoEncoder for Perceiving Anomalies in Multivariate Time Series Data
by: Chang Li, et al.
Published: (2025)
by: Chang Li, et al.
Published: (2025)
Siamese Multiple Attention Temporal Convolution Networks for Human Mobility Signature Identification
by: Zheng, Zhipeng, et al.
Published: (2024)
by: Zheng, Zhipeng, et al.
Published: (2024)
Federated unsupervised random forest for privacy-preserving patient stratification
by: Pfeifer, Bastian, et al.
Published: (2024)
by: Pfeifer, Bastian, et al.
Published: (2024)
Quantum Circuit AutoEncoder
by: Wu, Jun, et al.
Published: (2023)
by: Wu, Jun, et al.
Published: (2023)
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
by: Irshad, Muhammad Zubair, et al.
Published: (2024)
by: Irshad, Muhammad Zubair, et al.
Published: (2024)
A privacy-preserving distributed credible evidence fusion algorithm for collective decision-making
by: Ma, Chaoxiong, et al.
Published: (2024)
by: Ma, Chaoxiong, et al.
Published: (2024)
Learning Multimodal Energy-Based Model with Multimodal Variational Auto-Encoder via MCMC Revision
by: Cui, Jiali, et al.
Published: (2026)
by: Cui, Jiali, et al.
Published: (2026)
Multiple-Input Variational Auto-Encoder for Anomaly Detection in Heterogeneous Data
by: Dinh, Phai Vu, et al.
Published: (2025)
by: Dinh, Phai Vu, et al.
Published: (2025)
FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning
by: Zhang, Zhuo, et al.
Published: (2024)
by: Zhang, Zhuo, et al.
Published: (2024)
AutoFed: Personalized Federated Traffic Prediction via Adaptive Prompt
by: Zhao, Zijian, et al.
Published: (2025)
by: Zhao, Zijian, et al.
Published: (2025)
Exploring Variational Auto-Encoder Architectures, Configurations, and Datasets for Generative Music Explainable AI
by: Bryan-Kinns, Nick, et al.
Published: (2023)
by: Bryan-Kinns, Nick, et al.
Published: (2023)
Impact of Latent Space Dimension on IoT Botnet Detection Performance: VAE-Encoder Versus ViT-Encoder
by: Wasswa, Hassan, et al.
Published: (2025)
by: Wasswa, Hassan, et al.
Published: (2025)
V-VAE: A Variational Auto Encoding Framework Towards Fine-Grained Control over Human-Like Chat
by: Lin, Qi, et al.
Published: (2025)
by: Lin, Qi, et al.
Published: (2025)
Similar Items
-
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
by: Li, Zhiwei, 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) -
Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoder
by: Zhang, Yingji, et al.
Published: (2022) -
Multimodal hierarchical Variational AutoEncoders with Factor Analysis latent space
by: Guerrero-López, Alejandro, et al.
Published: (2022) -
A Contrastive Variational AutoEncoder for NSCLC Survival Prediction with Missing Modalities
by: Zanitti, Michele, et al.
Published: (2026)