Cover Image

Learning Fingerprints for Medical Time Series with Redundancy-Constrained Information Maximization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Huayu, He, ZhengXiao, Chen, Xiwen, Wang, Jingjing, Tian, Siyuan, Wen, Jinghao, Li, Ao
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MedMamba: Recasting Mamba for Medical Time Series Classification
by: He, ZhengXiao, et al.
Published: (2026)

Martingale Foresight Sampling: A Principled Approach to Inference-Time LLM Decoding
by: Li, Huayu, et al.
Published: (2026)

NeuroHD-RA: Neural-distilled Hyperdimensional Model with Rhythm Alignment
by: He, ZhengXiao, et al.
Published: (2025)

MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features
by: Li, Huayu, et al.
Published: (2023)

FIC-TSC: Learning Time Series Classification with Fisher Information Constraint
by: Chen, Xiwen, et al.
Published: (2025)

Knowledge Distillation Under Ideal Joint Classifier Assumption
by: Li, Huayu, et al.
Published: (2023)

TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
by: Chen, Xiwen, et al.
Published: (2024)

Sequence Complementor: Complementing Transformers For Time Series Forecasting with Learnable Sequences
by: Chen, Xiwen, et al.
Published: (2025)

SHARP: A Self-Evolving Human-Auditable Rubric Policy for Financial Trading Agents
by: Chen, Xiwen, et al.
Published: (2026)

Universal Redundancies in Time Series Foundation Models
by: Bao, Anthony, et al.
Published: (2026)

Towards Dynamic Feature Acquisition on Medical Time Series by Maximizing Conditional Mutual Information
by: Sergeev, Fedor, et al.
Published: (2024)

Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering
by: Tan, Zexi, et al.
Published: (2025)

Dualformer: Time-Frequency Dual Domain Learning for Long-term Time Series Forecasting
by: Bai, Jingjing, et al.
Published: (2026)

Attentional Graph Meta-Learning for Indoor Localization Using Extremely Sparse Fingerprints
by: Yan, Wenzhong, et al.
Published: (2025)

Multimodal Cardiovascular Risk Profiling Using Self-Supervised Learning of Polysomnography
by: He, Zhengxiao, et al.
Published: (2025)

Enhancing Graph Neural Networks in Large-scale Traffic Incident Analysis with Concurrency Hypothesis
by: Chen, Xiwen, et al.
Published: (2024)

Mitigating Data Redundancy to Revitalize Transformer-based Long-Term Time Series Forecasting System
by: Li, Mingjie, et al.
Published: (2022)

IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models?
by: Wang, Hua, et al.
Published: (2025)

SDMixer: Sparse Dual-Mixer for Time Series Forecasting
by: Ao, Xiang
Published: (2026)

Event-Based Contrastive Learning for Medical Time Series
by: Jeong, Hyewon, et al.
Published: (2023)

Redundancy Maximization as a Principle of Associative Memory Learning
by: Blümel, Mark, et al.
Published: (2025)

TimeX++: Learning Time-Series Explanations with Information Bottleneck
by: Liu, Zichuan, et al.
Published: (2024)

Finding the DeepDream for Time Series: Activation Maximization for Univariate Time Series
by: Schlegel, Udo, et al.
Published: (2024)

Repurposing Foundation Model for Generalizable Medical Time Series Classification
by: Huang, Nan, et al.
Published: (2024)

TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models
by: Si, Haotian, et al.
Published: (2024)

MedMamba: Multi-View State Space Models with Adaptive Graph Learning for Medical Time Series Classification
by: Zhang, Da, et al.
Published: (2026)

Smarter Together: Combining Large Language Models and Small Models for Physiological Signals Visual Inspection
by: Li, Huayu, et al.
Published: (2025)

SynTSBench: Rethinking Temporal Pattern Learning in Deep Learning Models for Time Series
by: Tan, Qitai, et al.
Published: (2025)

GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series Data
by: He, Cheng, et al.
Published: (2025)

Dense Feature Learning via Linear Structure Preservation in Medical Data
by: Zhang, Yuanyun, et al.
Published: (2026)

Continuity and Ordinality Matter: Constraining Time Series Tokens for Effective Time Series Analysis with Large Language Models
by: Li, Musheng, et al.
Published: (2026)

Online Conformal Model Selection for Nonstationary Time Series
by: Li, Shibo, et al.
Published: (2025)

AXIS: Explainable Time Series Anomaly Detection with Large Language Models
by: Lan, Tian, et al.
Published: (2025)

Right on Time: Revising Time Series Models by Constraining their Explanations
by: Kraus, Maurice, et al.
Published: (2024)

Adaptive Redundancy Regulation for Balanced Multimodal Information Refinement
by: Yang, Zhe, et al.
Published: (2025)

Revenue Maximization and Learning in Products Ranking
by: Chen, Ningyuan, et al.
Published: (2020)

Redundancy-Aware Test-Time Graph Out-of-Distribution Detection
by: Hou, Yue, et al.
Published: (2025)

The Value of Information in Resource-Constrained Pricing
by: Ao, Ruicheng, et al.
Published: (2026)

mtslearn: Machine Learning in Python for Medical Time Series
by: Jiang, Zhongheng, et al.
Published: (2026)

MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning
by: Ye, Jiexia, et al.
Published: (2024)