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Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time
  Series

Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series

14 June 2023
Jiawen Zhang
Shun Zheng
Wei Cao
Jiang Bian
Jia Li
    AI4TS
ArXivPDFHTML

Papers citing "Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series"

21 / 21 papers shown
Title
Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline
Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline
Xvyuan Liu
Xiangfei Qiu
Xingjian Wu
Zhengyu Li
Chenjuan Guo
Jiaxi Hu
Bin Yang
AI4TS
12
0
0
16 May 2025
STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting
STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting
Y. Wang
Xiaofeng Hu
Xiaojian Cui
Kai Wang
AI4TS
26
0
0
07 May 2025
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting
Chengsen Wang
Q. Qi
Yufei Guo
Haifeng Sun
Zirui Zhuang
J. Liao
AI4TS
45
0
0
01 May 2025
Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning
Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning
Liuqing Chen
Shuhong Xiao
Shixian Ding
Shanhai Hu
Lingyun Sun
71
0
0
10 Feb 2025
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic
  Time-Series Transformer
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
Jiawen Zhang
Shun Zheng
Xumeng Wen
Xiaofang Zhou
Jiang Bian
Jiajun Li
AI4TS
44
3
0
04 Nov 2024
Irregularity-Informed Time Series Analysis: Adaptive Modelling of
  Spatial and Temporal Dynamics
Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics
L. Zheng
Zhengyang Li
Chang Dong
W. Zhang
Lin Yue
Miao Xu
Olaf Maennel
Weitong Chen
AI4TS
33
1
0
16 Oct 2024
Evaluating Time-Series Training Dataset through Lens of Spectrum in Deep
  State Space Models
Evaluating Time-Series Training Dataset through Lens of Spectrum in Deep State Space Models
Sekitoshi Kanai
Yasutoshi Ida
Kazuki Adachi
Mihiro Uchida
Tsukasa Yoshida
Shin'ya Yamaguchi
20
1
0
29 Aug 2024
Unleash The Power of Pre-Trained Language Models for Irregularly Sampled
  Time Series
Unleash The Power of Pre-Trained Language Models for Irregularly Sampled Time Series
Weijia Zhang
Chenlong Yin
Hao Liu
Hui Xiong
AI4TS
66
3
0
12 Aug 2024
Scalable Transformer for High Dimensional Multivariate Time Series
  Forecasting
Scalable Transformer for High Dimensional Multivariate Time Series Forecasting
Xin Zhou
Weiqing Wang
Wray L. Buntine
Shilin Qu
Abishek Sriramulu
Weicong Tan
Christoph Bergmeir
AI4TS
55
1
0
08 Aug 2024
Large Language Model as a Universal Clinical Multi-task Decoder
Large Language Model as a Universal Clinical Multi-task Decoder
Yujiang Wu
Hongjian Song
Jiawen Zhang
Xumeng Wen
Shun Zheng
Jiang Bian
38
1
0
18 Jun 2024
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status
  Prediction
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Prediction
Zhihao Yu
Xu Chu
Yujie Jin
Yasha Wang
Junfeng Zhao
32
2
0
15 May 2024
A Survey of Time Series Foundation Models: Generalizing Time Series
  Representation with Large Language Model
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model
Weiqi Zhang
Jiexia Ye
Ke Yi
Yongzi Yu
Ziyue Li
Jia Li
Fugee Tsung
AI4TS
AI4CE
45
22
0
03 May 2024
Two-Stage Aggregation with Dynamic Local Attention for Irregular Time
  Series
Two-Stage Aggregation with Dynamic Local Attention for Irregular Time Series
Xingyu Chen
Xiaochen Zheng
Amina Mollaysa
Manuel Schürch
Ahmed Allam
Michael Krauthammer
AI4TS
30
1
0
13 Nov 2023
Irregular Traffic Time Series Forecasting Based on Asynchronous
  Spatio-Temporal Graph Convolutional Network
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
Weijia Zhang
Le Zhang
Jindong Han
Hao Liu
Jingbo Zhou
Yu Mei
Hui Xiong
GNN
AI4TS
38
10
0
31 Aug 2023
A Co-training Approach for Noisy Time Series Learning
A Co-training Approach for Noisy Time Series Learning
Jiexia Ye
Jianfeng Zhang
Jia Li
Fugee Tsung
AI4TS
36
12
0
24 Aug 2023
Less Is More: Fast Multivariate Time Series Forecasting with Light
  Sampling-oriented MLP Structures
Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures
Tianze Zhang
Yizhuo Zhang
Wei Cao
Jiang Bian
Xiaohan Yi
Shun Zheng
Jian Li
BDL
AI4TS
95
155
0
04 Jul 2022
MUFASA: Multimodal Fusion Architecture Search for Electronic Health
  Records
MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records
Zhen Xu
David R. So
Andrew M. Dai
Mamba
58
51
0
03 Feb 2021
Multi-Time Attention Networks for Irregularly Sampled Time Series
Multi-Time Attention Networks for Irregularly Sampled Time Series
Satya Narayan Shukla
Benjamin M. Marlin
AI4TS
108
184
0
25 Jan 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
169
3,900
0
14 Dec 2020
Soft-DTW: a Differentiable Loss Function for Time-Series
Soft-DTW: a Differentiable Loss Function for Time-Series
Marco Cuturi
Mathieu Blondel
AI4TS
141
611
0
05 Mar 2017
Recurrent Neural Networks for Multivariate Time Series with Missing
  Values
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
219
1,900
0
06 Jun 2016
1