Multi-Time Attention Networks for Irregularly Sampled Time Series

25 January 2021

Papers citing "Multi-Time Attention Networks for Irregularly Sampled Time Series"

14 / 14 papers shown

Title
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting Boyuan Li Yicheng Luo Zhen Liu Junhao Zheng Jianming Lv Qianli Ma AI4TS 20 0 0 23 May 2025
STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data Maxmilian Forstenhäusler Daniel Külzer Christos Anagnostopoulos Shameem Puthiya Parambath Natascha Weber AI4TS MedIm 82 0 0 14 Apr 2025
Trajectory Flow Matching with Applications to Clinical Time Series Modeling Xi Zhang Yuan Pu Yuki Kawamura Andrew Loza Yoshua Bengio Dennis L. Shung Alexander Tong OOD AI4TS MedIm 55 5 0 28 Oct 2024
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series Byoungwoo Park Hyungi Lee Juho Lee AI4TS 73 0 0 08 Oct 2024
EBES: Easy Benchmarking for Event Sequences Dmitry Osin Igor Udovichenko Viktor Moskvoretskii Egor Shvetsov Evgeny Burnaev 89 1 0 04 Oct 2024
ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration Zixiang Wang Yinghao Zhu Huiya Zhao Xiaochen Zheng Tianlong Wang ... Yasha Wang Ewen M. Harrison Junyi Gao Liantao Ma Liantao Ma 84 3 0 03 Oct 2024
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion Xing Han Huy Nguyen Carl Harris Nhat Ho Suchi Saria MoE 88 18 0 05 Feb 2024
Self-attention with Functional Time Representation Learning Da Xu Chuanwei Ruan Sushant Kumar Evren Körpeoglu Kannan Achan AI4TS 35 114 0 28 Nov 2019
Temporal Self-Attention Network for Medical Concept Embedding Xueping Peng Guodong Long Tao Shen Sen Wang Jing Jiang Michael Blumenstein 80 30 0 15 Sep 2019
Time2Vec: Learning a Vector Representation of Time Seyed Mehran Kazemi Rishab Goel Sepehr Eghbali J. Ramanan Jaspreet Sahota Sanjay Thakur Stella Wu Cathal Smyth Pascal Poupart Marcus A. Brubaker AI4TS 33 332 0 11 Jul 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series E. Brouwer Jaak Simm Adam Arany Yves Moreau SyDa CML AI4TS 59 292 0 29 May 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 168 5,024 0 19 Jun 2018
Medical Concept Embedding with Time-Aware Attention Xiangrui Cai Jinyang Gao K. Ngiam Beng Chin Ooi Ying Zhang Xiaojie Yuan 41 64 0 06 Jun 2018
A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification Steven Cheng-Xian Li Benjamin M. Marlin AI4TS BDL 29 87 0 14 Jun 2016