Cover Image

IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xiao, Jingge, Basso, Leonie, Nejdl, Wolfgang, Ganguly, Niloy, Sikdar, Sandipan
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FlexTSF: A Flexible Forecasting Model for Time Series with Variable Regularities
by: Xiao, Jingge, et al.
Published: (2024)

MedAI: Evaluating TxAgent's Therapeutic Agentic Reasoning in the NeurIPS CURE-Bench Competition
by: Cofala, Tim, et al.
Published: (2025)

Generating Multi-Table Time Series EHR from Latent Space with Minimal Preprocessing
by: Cho, Eunbyeol, et al.
Published: (2025)

CDMT-EHR: A Continuous-Time Diffusion Framework for Generating Mixed-Type Time-Series Electronic Health Records
by: Liu, Shaonan, et al.
Published: (2026)

A Multitask VAE for Time Series Preprocessing and Prediction of Blood Glucose Level
by: AbuSaleh, Ali, et al.
Published: (2024)

Training-Induced Bias Toward LLM-Generated Content in Dense Retrieval
by: Xion, William, et al.
Published: (2026)

Dynamic Reward Scaling for Multivariate Time Series Anomaly Detection: A VAE-Enhanced Reinforcement Learning Approach
by: Golchin, Bahareh, et al.
Published: (2025)

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

Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture
by: Xiao, Yubin, et al.
Published: (2024)

ProtoEHR: Hierarchical Prototype Learning for EHR-based Healthcare Predictions
by: Cai, Zi, et al.
Published: (2025)

Label-semantics Aware Generative Approach for Domain-Agnostic Multilabel Classification
by: Khatuya, Subhendu, et al.
Published: (2025)

Revisiting Multivariate Time Series Forecasting with Missing Values
by: Yang, Jie, et al.
Published: (2025)

Memory-Enhanced Neural Solvers for Routing Problems
by: Chalumeau, Felix, et al.
Published: (2024)

LPCVAE: A Conditional VAE with Long-Term Dependency and Probabilistic Time-Frequency Fusion for Time Series Anomaly Detection
by: Cheng, Hanchang, et al.
Published: (2025)

Synthetic Aircraft Trajectory Generation Using Time-Based VQ-VAE
by: Murad, Abdulmajid, et al.
Published: (2025)

Distilling Autoregressive Models to Obtain High-Performance Non-Autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed
by: Xiao, Yubin, et al.
Published: (2023)

A Denoising VAE for Intracardiac Time Series in Ischemic Cardiomyopathy
by: Ruipérez-Campillo, Samuel, et al.
Published: (2025)

Comparative Analysis of MDL-VAE vs. Standard VAE on 202 Years of Gynecological Data
by: Santos, Paula
Published: (2025)

RL + Transformer = A General-Purpose Problem Solver
by: Rentschler, Micah, et al.
Published: (2025)

MO-RiskVAE: A Multi-Omics Variational Autoencoder for Survival Risk Modeling in Multiple MyelomaMO-RiskVAE
by: Chen, Zixuan, et al.
Published: (2026)

Iterative Amortized Hierarchical VAE
by: Penninga, Simon W., et al.
Published: (2026)

Efficient Neural Combinatorial Optimization Solver for the Min-max Heterogeneous Capacitated Vehicle Routing Problem
by: Wu, Xuan, et al.
Published: (2025)

FPN-fusion: Enhanced Linear Complexity Time Series Forecasting Model
by: Li, Chu, et al.
Published: (2024)

Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
by: Huang, Ziwei, et al.
Published: (2025)

Solver-Free Decision-Focused Learning for Linear Optimization Problems
by: Berden, Senne, et al.
Published: (2025)

Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values
by: Zheng, Yu, et al.
Published: (2024)

Random Initialization Can't Catch Up: The Advantage of Language Model Transfer for Time Series Forecasting
by: Riachi, Roland, et al.
Published: (2025)

On the Mechanisms of Collaborative Learning in VAE Recommenders
by: Vuong, Tung-Long, et al.
Published: (2025)

ECOR: Explainable CLIP for Object Recognition
by: Rasekh, Ali, et al.
Published: (2024)

Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis
by: Chen, Qi, et al.
Published: (2025)

TSKANMixer: Kolmogorov-Arnold Networks with MLP-Mixer Model for Time Series Forecasting
by: Hong, Young-Chae, et al.
Published: (2025)

Exploring Scaling Laws for EHR Foundation Models
by: Zhang, Sheng, et al.
Published: (2025)

Integrating Genomics into Multimodal EHR Foundation Models
by: Amar, Jonathan, et al.
Published: (2025)

LLM Meets Diffusion: A Hybrid Framework for Crystal Material Generation
by: Khastagir, Subhojyoti, et al.
Published: (2025)

Time Series Representation Models
by: Leppich, Robert, et al.
Published: (2024)

Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver
by: Marty, Tom, et al.
Published: (2023)

Bounding Evidence and Estimating Log-Likelihood in VAE
by: Struski, Łukasz, et al.
Published: (2022)

A Problem-Oriented Taxonomy of Evaluation Metrics for Time Series Anomaly Detection
by: Yang, Kaixiang, et al.
Published: (2025)

Denoising-Aware Contrastive Learning for Noisy Time Series
by: Zhou, Shuang, et al.
Published: (2024)

From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR
by: Xu, Ran, et al.
Published: (2024)