Imagen de Portada

Representation Learning of Lab Values via Masked AutoEncoders

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Restrepo, David, Wu, Chenwei, Jia, Yueran, Sun, Jaden K., Gallifant, Jack, Bielick, Catherine G., Jia, Yugang, Celi, Leo A.
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Learning Representations from Incomplete EHR Data with Dual-Masked Autoencoding
por: Xiang, Xiao, et al.
Publicado: (2026)

Latent Diffusion Models with Masked AutoEncoders
por: Lee, Junho, et al.
Publicado: (2025)

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

RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning
por: Su, Kunming, et al.
Publicado: (2024)

Quantum Circuit AutoEncoder
por: Wu, Jun, et al.
Publicado: (2023)

Coefficient of Variation Masking: A Volatility-Aware Strategy for EHR Foundation Models
por: Fani, Rajna, et al.
Publicado: (2025)

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

Task-customized Masked AutoEncoder via Mixture of Cluster-conditional Experts
por: Liu, Zhili, et al.
Publicado: (2024)

Detecting AI-Generated Images via Contextual Anomaly Estimation in Masked AutoEncoders
por: Jang, Minsuk, et al.
Publicado: (2025)

Genuine-Focused Learning using Mask AutoEncoder for Generalized Fake Audio Detection
por: Wang, Xiaopeng, et al.
Publicado: (2024)

Occlusion-Aware 3D Hand-Object Pose Estimation with Masked AutoEncoders
por: Yang, Hui, et al.
Publicado: (2025)

Analyzing Diversity in Healthcare LLM Research: A Scientometric Perspective
por: Restrepo, David, et al.
Publicado: (2024)

MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data
por: Labatie, Antoine, et al.
Publicado: (2025)

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

Knowledge-integrated AutoEncoder Model
por: Lazebnik, Teddy, et al.
Publicado: (2023)

Distribution Matching Variational AutoEncoder
por: Ye, Sen, et al.
Publicado: (2025)

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

SelfSwapper: Self-Supervised Face Swapping via Shape Agnostic Masked AutoEncoder
por: Lee, Jaeseong, et al.
Publicado: (2024)

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

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark
por: Cao, Bing, et al.
Publicado: (2024)

3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
por: Yan, Siming, et al.
Publicado: (2023)

Masked AutoEncoder for Graph Clustering without Pre-defined Cluster Number k
por: Ma, Yuanchi, et al.
Publicado: (2024)

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

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

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

Koopman AutoEncoder via Singular Value Decomposition for Data-Driven Long-Term Prediction
por: Choi, Jinho, et al.
Publicado: (2024)

AutoEncoder Convolutional Neural Network for Pneumonia Detection
por: Nosa-Omoruyi, Michael, et al.
Publicado: (2024)

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

Improved AutoEncoder with LSTM module and KL divergence
por: Huang, Wei, et al.
Publicado: (2024)

Using Random Codebooks for Audio Neural AutoEncoders
por: Giniès, Benoît, et al.
Publicado: (2024)

Latent Enhancing AutoEncoder for Occluded Image Classification
por: Kotwal, Ketan, et al.
Publicado: (2024)

Detecting AutoEncoder is Enough to Catch LDM Generated Images
por: Vesnin, Dmitry, et al.
Publicado: (2024)

DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation
por: Guo, Zhiqiang, et al.
Publicado: (2024)

CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder
por: Jung, Hee-Jun, et al.
Publicado: (2024)

Layer-Wise Evolution of Representations in Fine-Tuned Transformers: Insights from Sparse AutoEncoders
por: Nadipalli, Suneel
Publicado: (2025)

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

SAEdit: Token-level control for continuous image editing via Sparse AutoEncoder
por: Kamenetsky, Ronen, et al.
Publicado: (2025)

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

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

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