Saved in:
| Main Authors: | Chen, Zixuan, Zhang, Heng, Qin, YuPeng, Xing, WenPeng, Wang, Qiang, Wang, Da, Lin, Changting, Han, Meng |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.06267 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
eVAE: Evolutionary Variational Autoencoder
by: Wu, Zhangkai, et al.
Published: (2023)
by: Wu, Zhangkai, et al.
Published: (2023)
VAE-Var: Variational-Autoencoder-Enhanced Variational Assimilation
by: Xiao, Yi, et al.
Published: (2024)
by: Xiao, Yi, et al.
Published: (2024)
CoVAE: Consistency Training of Variational Autoencoders
by: Silvestri, Gianluigi, et al.
Published: (2025)
by: Silvestri, Gianluigi, et al.
Published: (2025)
ED-VAE: Entropy Decomposition of ELBO in Variational Autoencoders
by: Lygerakis, Fotios, et al.
Published: (2024)
by: Lygerakis, Fotios, et al.
Published: (2024)
Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder
by: Cao, Shichen, et al.
Published: (2019)
by: Cao, Shichen, et al.
Published: (2019)
VAE-MS: An Asymmetric Variational Autoencoder for Mutational Signature Extraction
by: Egendal, Ida, et al.
Published: (2026)
by: Egendal, Ida, et al.
Published: (2026)
VAE Explainer: Supplement Learning Variational Autoencoders with Interactive Visualization
by: Bertucci, Donald, et al.
Published: (2024)
by: Bertucci, Donald, et al.
Published: (2024)
PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders
by: Xie, Tianyu, et al.
Published: (2025)
by: Xie, Tianyu, et al.
Published: (2025)
SC-VAE: Sparse Coding-based Variational Autoencoder with Learned ISTA
by: Xiao, Pan, et al.
Published: (2023)
by: Xiao, Pan, et al.
Published: (2023)
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
by: Sadat, Seyedmorteza, et al.
Published: (2024)
by: Sadat, Seyedmorteza, et al.
Published: (2024)
EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders
by: Baykal, Gulcin, et al.
Published: (2023)
by: Baykal, Gulcin, et al.
Published: (2023)
Large Motion Video Autoencoding with Cross-modal Video VAE
by: Xing, Yazhou, et al.
Published: (2024)
by: Xing, Yazhou, et al.
Published: (2024)
M^2VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation
by: He, Chuan, et al.
Published: (2025)
by: He, Chuan, et al.
Published: (2025)
R3-VAE: Reference Vector-Guided Rating Residual Quantization VAE for Generative Recommendation
by: Wan, Qiang, et al.
Published: (2026)
by: Wan, Qiang, et al.
Published: (2026)
SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder
by: Zheng, Dihan, et al.
Published: (2024)
by: Zheng, Dihan, et al.
Published: (2024)
Capturing Extreme Events in Turbulence using an Extreme Variational Autoencoder (xVAE)
by: Zhang, Likun, et al.
Published: (2025)
by: Zhang, Likun, et al.
Published: (2025)
VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel Synthesis
by: Feldman, Paula, et al.
Published: (2023)
by: Feldman, Paula, et al.
Published: (2023)
Routine Blood Biomarkers Reveal a Preclinical Continuum of Multiple Myeloma Risk
by: Li, Bingjie, et al.
Published: (2025)
by: Li, Bingjie, et al.
Published: (2025)
PH-VAE: A Polynomial Hierarchical Variational Autoencoder Towards Disentangled Representation Learning
by: Chen, Xi, et al.
Published: (2025)
by: Chen, Xi, et al.
Published: (2025)
ARD-VAE: A Statistical Formulation to Find the Relevant Latent Dimensions of Variational Autoencoders
by: Saha, Surojit, et al.
Published: (2025)
by: Saha, Surojit, et al.
Published: (2025)
DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation
by: Yuan, Zhihang, et al.
Published: (2025)
by: Yuan, Zhihang, et al.
Published: (2025)
DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy
by: Dennig, Frederik L., et al.
Published: (2025)
by: Dennig, Frederik L., et al.
Published: (2025)
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations
by: Haselhoff, Anselm, et al.
Published: (2024)
by: Haselhoff, Anselm, et al.
Published: (2024)
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets
by: Liao, Peng, et al.
Published: (2024)
by: Liao, Peng, et al.
Published: (2024)
DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation
by: Guo, Zhiqiang, et al.
Published: (2024)
by: Guo, Zhiqiang, et al.
Published: (2024)
OneVAE: Joint Discrete and Continuous Optimization Helps Discrete Video VAE Train Better
by: Zhou, Yupeng, et al.
Published: (2025)
by: Zhou, Yupeng, et al.
Published: (2025)
Disentangle VAE for Molecular Generation
by: Wang, Yanbo, et al.
Published: (2022)
by: Wang, Yanbo, et al.
Published: (2022)
Hi-VAE: Efficient Video Autoencoding with Global and Detailed Motion
by: Liu, Huaize, et al.
Published: (2025)
by: Liu, Huaize, et al.
Published: (2025)
MO-SAE:Multi-Objective Stacked Autoencoders Optimization for Edge Anomaly Detection
by: Zhang, Lizhao, et al.
Published: (2026)
by: Zhang, Lizhao, et al.
Published: (2026)
TaskVAE: Task-Specific Variational Autoencoders for Exemplar Generation in Continual Learning for Human Activity Recognition
by: Kann, Bonpagna, et al.
Published: (2025)
by: Kann, Bonpagna, et al.
Published: (2025)
Half-VAE: An Encoder-Free VAE to Bypass Explicit Inverse Mapping
by: Wei, Yuan-Hao, et al.
Published: (2024)
by: Wei, Yuan-Hao, et al.
Published: (2024)
LeanVAE: An Ultra-Efficient Reconstruction VAE for Video Diffusion Models
by: Cheng, Yu, et al.
Published: (2025)
by: Cheng, Yu, et al.
Published: (2025)
Multiparameter Uncertainty Mapping in Quantitative Molecular MRI using a Physics-Structured Variational Autoencoder (PS-VAE)
by: Finkelstein, Alex, et al.
Published: (2026)
by: Finkelstein, Alex, et al.
Published: (2026)
PDGMM-VAE: A Variational Autoencoder with Adaptive Per-Dimension Gaussian Mixture Model Priors for Nonlinear ICA
by: Wei, Yuan-Hao, et al.
Published: (2026)
by: Wei, Yuan-Hao, et al.
Published: (2026)
AR-Flow VAE: A Structured Autoregressive Flow Prior Variational Autoencoder for Unsupervised Blind Source Separation
by: Wei, Yuan-Hao, et al.
Published: (2026)
by: Wei, Yuan-Hao, et al.
Published: (2026)
A Novel VAE-DML Fusion Framework for Causal Analysis of Greenwashing in the Mining Industry
by: Lu, Yuxin, et al.
Published: (2026)
by: Lu, Yuxin, et al.
Published: (2026)
Attentive VQ-VAE
by: Hoyos, Angello, et al.
Published: (2023)
by: Hoyos, Angello, et al.
Published: (2023)
GQ-VAE: A gated quantized VAE for learning variable length tokens
by: Datta, Theo, et al.
Published: (2025)
by: Datta, Theo, et al.
Published: (2025)
CV-VAE: A Compatible Video VAE for Latent Generative Video Models
by: Zhao, Sijie, et al.
Published: (2024)
by: Zhao, Sijie, et al.
Published: (2024)
"IPAK YOLLARIDA MO'YQALAM BILAN"
by: Narimon Sharipov
Published: (2026)
by: Narimon Sharipov
Published: (2026)
Similar Items
-
eVAE: Evolutionary Variational Autoencoder
by: Wu, Zhangkai, et al.
Published: (2023) -
VAE-Var: Variational-Autoencoder-Enhanced Variational Assimilation
by: Xiao, Yi, et al.
Published: (2024) -
CoVAE: Consistency Training of Variational Autoencoders
by: Silvestri, Gianluigi, et al.
Published: (2025) -
ED-VAE: Entropy Decomposition of ELBO in Variational Autoencoders
by: Lygerakis, Fotios, et al.
Published: (2024) -
Coupled VAE: Improved Accuracy and Robustness of a Variational Autoencoder
by: Cao, Shichen, et al.
Published: (2019)