GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series

29 May 2019

Papers citing "GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series"

50 / 172 papers shown

Title
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting Chengsen Wang Q. Qi J. Wang Haifeng Sun Zirui Zhuang J. Liao AI4TS 45 0 0 01 May 2025
Symbolic Neural Ordinary Differential Equations Xin Li Chengli Zhao Xue Zhang Xiaojun Duan 37 0 0 11 Mar 2025
Learning to Decouple Complex Systems Zihan Zhou Tianshu Yu BDL 66 4 0 17 Feb 2025
Understanding and Mitigating Membership Inference Risks of Neural Ordinary Differential Equations Sanghyun Hong Fan Wu A. Gruber Kookjin Lee 42 0 0 12 Jan 2025
Deep Kalman Filters Can Filter Blanka Hovart Anastasis Kratsios Yannick Limmer Xuwei Yang 45 1 0 31 Dec 2024
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis Jiexi Liu Meng Cao Songcan Chen AI4TS 75 0 0 17 Dec 2024
MuSiCNet: A Gradual Coarse-to-Fine Framework for Irregularly Sampled Multivariate Time Series Analysis Jiexi Liu Meng Cao Songcan Chen AI4TS 79 0 0 02 Dec 2024
An Event-centric Framework for Predicting Crime Hotspots with Flexible Time Intervals Jiahui Jin Yi Hong Guandong Xu Jinghui Zhang Jun Tang Hancheng Wang 36 0 0 02 Nov 2024
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 28 2 0 28 Oct 2024
Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series Ilan Naiman Nimrod Berman Itai Pemper Idan Arbiv Gal Fadlon Omri Azencot 32 11 0 25 Oct 2024
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series Giangiacomo Mercatali André Freitas Jie Chen BDL CML AI4TS 31 1 0 17 Oct 2024
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series Byoungwoo Park Hyungi Lee Juho Lee AI4TS 41 0 0 08 Oct 2024
Neural Fourier Modelling: A Highly Compact Approach to Time-Series Analysis Minjung Kim Yusuke Hioka Michael Witbrock AI4TS 26 0 0 07 Oct 2024
Integrating Physics-Informed Deep Learning and Numerical Methods for Robust Dynamics Discovery and Parameter Estimation Caitlin Ho Andrea Arnold AI4CE PINN 34 0 0 05 Oct 2024
EBES: Easy Benchmarking for Event Sequences Dmitry Osin Igor Udovichenko Viktor Moskvoretskii Egor Shvetsov Evgeny Burnaev 42 1 0 04 Oct 2024
Latent Space Energy-based Neural ODEs Sheng Cheng Deqian Kong Jianwen Xie Kookjin Lee Ying Nian Wu Yezhou Yang DiffM 123 1 0 05 Sep 2024
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event Prediction Ivan Karpukhin Andrey Savchenko 18 1 0 23 Aug 2024
Unleash The Power of Pre-Trained Language Models for Irregularly Sampled Time Series Weijia Zhang Chenlong Yin Hao Liu Hui Xiong AI4TS 50 3 0 12 Aug 2024
An End-to-End Model for Time Series Classification In the Presence of Missing Values Pengshuai Yao Mengna Liu Xu Cheng Fan Shi Huan Li Xiufeng Liu Shengyong Chen AI4TS 40 0 0 11 Aug 2024
Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting Michael Staniek Marius Fracarolli Michael Hagmann Stefan Riezler OOD AI4TS 21 1 0 07 Aug 2024
DAM: Towards A Foundation Model for Time Series Forecasting L. N. Darlow Qiwen Deng Ahmed Hassan Martin Asenov Rajkarn Singh Artjom Joosen Adam Barker Amos Storkey AI4TS AI4CE 40 3 0 25 Jul 2024
Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference Xiaoyu Jiang Sokratia Georgaka Magnus Rattray Mauricio A. Alvarez 21 0 0 02 Jul 2024
Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization Sheo Yon Jhin Seojin Kim Noseong Park AI4TS 31 3 0 29 Jun 2024
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs J. Durso-Finley Berardino Barile J. Falet Douglas L. Arnold Nick Pawlowski Tal Arbel AI4CE 33 2 0 18 Jun 2024
Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting Christian Klötergens Vijaya Krishna Yalavarthi Maximilian Stubbemann Lars Schmidt-Thieme 21 0 0 06 May 2024
Neural Controlled Differential Equations with Quantum Hidden Evolutions Lingyi Yang Zhen Shao 24 0 0 30 Apr 2024
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs Yogesh Verma Markus Heinonen Vikas K. Garg AI4CE 29 26 0 15 Apr 2024
SciFlow: Empowering Lightweight Optical Flow Models with Self-Cleaning Iterations J. Lin Jisoo Jeong Hong Cai Risheek Garrepalli Kai Wang Fatih Porikli 31 0 0 11 Apr 2024
LaTiM: Longitudinal representation learning in continuous-time models to predict disease progression Rachid Zeghlache Pierre-Henri Conze Mostafa EL HABIB DAHO Yi-Hsuan Li Hugo Le Boité ... B. Cochener Alireza Rezaei Ikram Brahim G. Quellec M. Lamard 24 0 0 10 Apr 2024
IIP-Mixer:Intra-Inter Patch Mixing Architecture for Battery Remaining Useful Life Prediction G. Ye Li Feng Jianlan Guo Yuqiang Chen KELM 27 0 0 27 Mar 2024
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data YongKyung Oh Dongyoung Lim Sungil Kim AI4TS 43 11 0 22 Feb 2024
Beyond Kalman Filters: Deep Learning-Based Filters for Improved Object Tracking Momir Adzemovic Predrag Tadić Andrija Petrović Mladen Nikolic 31 4 0 15 Feb 2024
Probabilistic Forecasting of Irregular Time Series via Conditional Flows Vijaya Krishna Yalavarthi Randolf Scholz Stefan Born Lars Schmidt-Thieme AI4TS 30 0 0 09 Feb 2024
Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations Qingqing Long Zheng Fang Chen Fang Chong Chen Pengfei Wang Yuanchun Zhou AI4TS 27 12 0 02 Feb 2024
Liquid Resistance Liquid Capacitance Networks Mónika Farsang Sophie A. Neubauer Radu Grosu AI4TS 23 2 0 30 Jan 2024
Dynamical Survival Analysis with Controlled Latent States Linus Bleistein Van-Tuan Nguyen Adeline Fermanian Agathe Guilloux 31 1 0 30 Jan 2024
Continuously Evolving Graph Neural Controlled Differential Equations for Traffic Forecasting Jiajia Wu Ling Chen AI4TS 21 2 0 26 Jan 2024
Improving Transferability for Cross-domain Trajectory Prediction via Neural Stochastic Differential Equation Daehee Park Jaewoo Jeong Kuk-Jin Yoon 32 8 0 26 Dec 2023
Graph Convolutions Enrich the Self-Attention in Transformers! Jeongwhan Choi Hyowon Wi Jayoung Kim Yehjin Shin Kookjin Lee Nathaniel Trask Noseong Park 25 4 0 07 Dec 2023
Deep Set Neural Networks for forecasting asynchronous bioprocess timeseries M. Borisyak Stefan Born Peter Neubauer M. N. C. Bournazou BDL AI4TS 33 0 0 04 Dec 2023
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction G. Jin Lingbo Liu Fuxian Li Jincai Huang AI4TS GNN 3DPC 19 34 0 15 Nov 2023
LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image Rachid Zeghlache Pierre-Henri Conze Mostafa EL HABIB DAHO Yi-Hsuan Li Hugo Le Boité ... Pascale Massin B. Cochener Ikram Brahim G. Quellec M. Lamard 16 4 0 16 Oct 2023
Deep Geometric Learning with Monotonicity Constraints for Alzheimer's Disease Progression Seungwoo Jeong Wonsik Jung Junghyo Sohn Heung-Il Suk 15 3 0 05 Oct 2023
ODE-based Recurrent Model-free Reinforcement Learning for POMDPs Xu Zhao Duzhen Zhang Liyuan Han Tielin Zhang Bo Xu 37 7 0 25 Sep 2023
Prediction of Tourism Flow with Sparse Geolocation Data Julian Lemmel Z. Babaiee Marvin Kleinlehner I. Majić P. Neubauer Johannes Scholz Radu Grosu Sophie A. Neubauer 13 0 0 28 Aug 2023
Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series Chrysoula Kosma Giannis Nikolentzos Michalis Vazirgiannis AI4TS 19 5 0 06 Aug 2023
Continuous Time Evidential Distributions for Irregular Time Series Taylor W. Killian Haoran Zhang Thomas Hartvigsen Ava P. Amini OOD EDL 29 0 0 25 Jul 2023
Extending Path-Dependent NJ-ODEs to Noisy Observations and a Dependent Observation Framework William Andersson Jakob Heiss Florian Krach Josef Teichmann 29 2 0 24 Jul 2023
Trainability, Expressivity and Interpretability in Gated Neural ODEs T. Kim T. Can K. Krishnamurthy AI4CE 35 4 0 12 Jul 2023
Individualized Dosing Dynamics via Neural Eigen Decomposition Stav Belogolovsky Ido Greenberg Danny Eytan Shie Mannor 22 0 0 24 Jun 2023