Cover Image

Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Series

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Mingzhu, Chen, Angela H., Chen, George H.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting
by: Benechehab, Abdelhakim, et al.
Published: (2025)

Univariate Channel Fusion for Multivariate Time Series Classification
by: Moro, Fernando, et al.
Published: (2026)

DualWeaver: Synergistic Feature Weaving Surrogates for Multivariate Forecasting with Univariate Time Series Foundation Models
by: Li, Jinpeng, et al.
Published: (2026)

Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models
by: Motamedi, Maryam, et al.
Published: (2021)

Univariate to Multivariate: LLMs as Zero-Shot Predictors for Time-Series Forecasting
by: Madarasingha, Chamara, et al.
Published: (2025)

Time Series Foundation Models for Multivariate Financial Time Series Forecasting
by: Marconi, Ben A.
Published: (2025)

Interactive Counterfactual Generation for Univariate Time Series
by: Schlegel, Udo, et al.
Published: (2024)

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

Falcon-X: A Time Series Foundation Model for Heterogeneous Multivariate Modeling
by: Liu, Yiding, et al.
Published: (2026)

Adapting Time Series Foundation Models through Data Mixtures
by: Lee, Thomas L., et al.
Published: (2026)

Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation
by: Zhang, S., et al.
Published: (2024)

Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation Models
by: Qiu, Yunzhong, et al.
Published: (2026)

User-friendly Foundation Model Adapters for Multivariate Time Series Classification
by: Feofanov, Vasilii, et al.
Published: (2024)

Forecast2Anomaly (F2A): Adapting Multivariate Time Series Foundation Models for Anomaly Prediction
by: Hassan, Atif, et al.
Published: (2025)

TransConv-DDPM: Enhanced Diffusion Model for Generating Time-Series Data in Healthcare
by: Kabir, Md Shahriar, et al.
Published: (2026)

Label-Free Multivariate Time Series Anomaly Detection
by: Zhou, Qihang, et al.
Published: (2023)

Federated Foundation Models on Heterogeneous Time Series
by: Chen, Shengchao, et al.
Published: (2024)

TimeMKG: Knowledge-Infused Causal Reasoning for Multivariate Time Series Modeling
by: Sun, Yifei, et al.
Published: (2025)

SOFTS: Efficient Multivariate Time Series Forecasting with Series-Core Fusion
by: Han, Lu, et al.
Published: (2024)

Evaluating Time Series Foundation Models on Noisy Periodic Time Series
by: Gupta, Syamantak Datta
Published: (2025)

Channel Matters: Estimating Channel Influence for Multivariate Time Series
by: Wang, Muyao, et al.
Published: (2024)

In-Context Fine-Tuning for Time-Series Foundation Models
by: Das, Abhimanyu, et al.
Published: (2024)

POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning
by: Wang, Junxiang, et al.
Published: (2023)

Interventional Time Series Priors for Causal Foundation Models
by: Thumm, Dennis, et al.
Published: (2026)

TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis
by: Liu, Jiexi, et al.
Published: (2024)

The Multiverse of Time Series Machine Learning: an Archive for Multivariate Time Series Classification
by: Middlehurst, Matthew, et al.
Published: (2026)

Stationarity Exploration for Multivariate Time Series Forecasting
by: Liu, Hao, et al.
Published: (2025)

On Multivariate Financial Time Series Classification
by: Bournassenko, Grégory
Published: (2025)

Graph-Aware Contrasting for Multivariate Time-Series Classification
by: Wang, Yucheng, et al.
Published: (2023)

Synthetic Series-Symbol Data Generation for Time Series Foundation Models
by: Wang, Wenxuan, et al.
Published: (2025)

Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Series
by: Wang, Muyao, et al.
Published: (2024)

TimeDRL: Disentangled Representation Learning for Multivariate Time-Series
by: Chang, Ching, et al.
Published: (2023)

UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting
by: Liu, Juncheng, et al.
Published: (2024)

Ister: Linear Transformer for Efficient Multivariate Time Series Forecasting
by: Cao, Fanpu, et al.
Published: (2024)

A Mamba Foundation Model for Time Series Forecasting
by: Ma, Haoyu, et al.
Published: (2024)

OpenTSLM: Time-Series Language Models for Reasoning over Multivariate Medical Text- and Time-Series Data
by: Langer, Patrick, et al.
Published: (2025)

TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model
by: Cao, Defu, et al.
Published: (2024)

DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting
by: Liu, Zhiding, et al.
Published: (2024)

Temporal Query Network for Efficient Multivariate Time Series Forecasting
by: Lin, Shengsheng, et al.
Published: (2025)

Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study
by: Leites, José, et al.
Published: (2024)