Latent ODEs for Irregularly-Sampled Time Series

8 July 2019

Papers citing "Latent ODEs for Irregularly-Sampled Time Series"

47 / 47 papers shown

Title
SPIN-ODE: Stiff Physics-Informed Neural ODE for Chemical Reaction Rate Estimation Wenqing Peng Zhi-Song Liu Michael Boy 29 0 0 08 May 2025
Unveiling LLM Mechanisms Through Neural ODEs and Control Theory Yukun Zhang Qi Dong 34 0 0 23 Jun 2024
Learnable & Interpretable Model Combination in Dynamical Systems Modeling Tobias Thummerer Lars Mikelsons AI4CE 42 1 0 12 Jun 2024
MLEM: Generative and Contrastive Learning as Distinct Modalities for Event Sequences Viktor Moskvoretskii Dmitry Osin Egor Shvetsov Igor Udovichenko Maxim Zhelnin Andrey Dukhovny Anna Zhimerikina E. Burnaev AI4TS 25 2 0 29 Jan 2024
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
Enhancing Low-Order Discontinuous Galerkin Methods with Neural Ordinary Differential Equations for Compressible Navier--Stokes Equations Shinhoo Kang Emil M. Constantinescu AI4CE 22 0 0 29 Oct 2023
Longitudinal Self-supervised Learning Using Neural Ordinary Differential Equation 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 21 4 0 16 Oct 2023
Faster Training of Neural ODEs Using Gauß-Legendre Quadrature Alexander Norcliffe M. Deisenroth 23 3 0 21 Aug 2023
Explainable Deep Learning for Tumor Dynamic Modeling and Overall Survival Prediction using Neural-ODE Mark A. Laurie James Lu 16 12 0 02 Aug 2023
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit O. Fitzgerald O. Perez-Concha B. Gallego-Luxan Alejandro Metke-Jimenez Lachlan Rudd Louisa R Jorm BDL OOD AI4TS 20 0 0 14 Apr 2023
On the Benefits of Biophysical Synapses Julian Lemmel Radu Grosu 9 0 0 08 Mar 2023
Locally Regularized Neural Differential Equations: Some Black Boxes Were Meant to Remain Closed! Avik Pal Alan Edelman Chris Rackauckas 22 3 0 03 Mar 2023
Using Intermediate Forward Iterates for Intermediate Generator Optimization Harshit Mishra Jurijs Nazarovs Manmohan Dogra Sathya Ravi DiffM 24 0 0 05 Feb 2023
Neural Langevin Dynamics: towards interpretable Neural Stochastic Differential Equations Simon Koop M. Peletier J. Portegies Vlado Menkovski DiffM 22 1 0 17 Nov 2022
EDEN : An Event DEtection Network for the annotation of Breast Cancer recurrences in administrative claims data Elise Dumas A. Hamy S. Houzard Eva Hernandez A. Toussaint ... M. Saint-Ghislain B. Grandal Eric Daoud F. Reyal Chloé-Agathe Azencott OOD 13 2 0 15 Nov 2022
Irregularly-Sampled Time Series Modeling with Spline Networks Marin Bilos Emanuel Ramneantu Stephan Günnemann AI4TS 24 1 0 19 Oct 2022
Tripletformer for Probabilistic Interpolation of Irregularly sampled Time Series Vijaya Krishna Yalavarthi Johannes Burchert Lars Schmidt-Thieme AI4TS 22 5 0 05 Oct 2022
STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction Jiahao Ji Jingyuan Wang Zhe Jiang Jiawei Jiang Hu Zhang DiffM PINN OOD AI4CE 12 77 0 01 Sep 2022
DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series Vijaya Krishna Yalavarthi Johannes Burchert Lars Schmidt-Thieme BDL AI4TS 20 4 0 24 Aug 2022
Modelling Latent Dynamics of StyleGAN using Neural ODEs Weihao Xia Yujiu Yang Jing-Hao Xue 19 0 0 23 Aug 2022
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations Nabeel Seedat F. Imrie Alexis Bellot Zhaozhi Qian M. Schaar OOD CML 27 52 0 16 Jun 2022
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift Vincent Jeanselme G. Martin Niels Peek M. Sperrin Brian D. M. Tom Jessica Barrett OOD 26 4 0 26 May 2022
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations Paidamoyo Chapfuwa Sherri Rose Lawrence Carin Edward Meeds Ricardo Henao CML 20 1 0 25 Feb 2022
Deep Learning for Epidemiologists: An Introduction to Neural Networks S. Serghiou K. Rough FedML 10 13 0 02 Feb 2022
Bi-Directional Recurrent Neural Ordinary Differential Equations for Social Media Text Classification Maunika Tamire Srinivas Anumasa P. K. Srijith GNN AI4TS 16 2 0 23 Dec 2021
Constraint-based graph network simulator Yulia Rubanova Alvaro Sanchez-Gonzalez Tobias Pfaff Peter W. Battaglia PINN AI4CE 25 28 0 16 Dec 2021
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting Sheo Yon Jhin H. Shin Seoyoung Hong Solhee Park Noseong Park AI4TS 19 22 0 04 Sep 2021
Deep Learning Based Antenna-time Domain Channel Extrapolation for Hybrid mmWave Massive MIMO Shun Zhang Shun Zhang Jianpeng Ma Tian Liu O. Dobre 14 7 0 09 Aug 2021
Beyond Predictions in Neural ODEs: Identification and Interventions H. Aliee Fabian J. Theis Niki Kilbertus CML 20 24 0 23 Jun 2021
Stateful ODE-Nets using Basis Function Expansions A. Queiruga N. Benjamin Erichson Liam Hodgkinson Michael W. Mahoney 27 16 0 21 Jun 2021
Causal Navigation by Continuous-time Neural Networks Charles J. Vorbach Ramin Hasani Alexander Amini Mathias Lechner Daniela Rus 23 47 0 15 Jun 2021
Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics Avik Pal Yingbo Ma Viral B. Shah Chris Rackauckas 28 36 0 09 May 2021
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations Winnie Xu Ricky T. Q. Chen Xuechen Li D. Duvenaud BDL UQCV 19 46 0 12 Feb 2021
Neural Closure Models for Dynamical Systems Abhinav Gupta Pierre FJ Lermusiaux AI4CE 11 45 0 27 Dec 2020
Predicting Human Strategies in Simulated Search and Rescue Task Vidhi Jain Rohit Jena Huao Li Tejus Gupta Dana Hughes M. Lewis Katia P. Sycara 41 8 0 15 Nov 2020
Probabilistic Numeric Convolutional Neural Networks Marc Finzi Roberto Bondesan Max Welling BDL AI4TS 21 13 0 21 Oct 2020
Learning Multivariate Hawkes Processes at Scale Maximilian Nickel Matt Le 32 17 0 28 Feb 2020
Scalable Gradients for Stochastic Differential Equations Xuechen Li Ting-Kam Leonard Wong Ricky T. Q. Chen D. Duvenaud 17 310 0 05 Jan 2020
InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers T. Nguyen Animesh Garg Richard G. Baraniuk Anima Anandkumar TPM 15 9 0 09 Dec 2019
Continuous Graph Neural Networks Louis-Pascal Xhonneux Meng Qu Jian Tang GNN 19 149 0 02 Dec 2019
Graph Neural Ordinary Differential Equations Michael Poli Stefano Massaroli Junyoung Park Atsushi Yamashita Hajime Asama Jinkyoo Park AI4CE 37 154 0 18 Nov 2019
Set Functions for Time Series Max Horn Michael Moor Christian Bock Bastian Alexander Rieck Karsten M. Borgwardt AI4TS 27 143 0 26 Sep 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series E. Brouwer Jaak Simm Adam Arany Yves Moreau SyDa CML AI4TS 11 289 0 29 May 2019
Neural Jump Stochastic Differential Equations J. Jia Austin R. Benson BDL 18 222 0 24 May 2019
Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk S. Barbieri James Kemp O. Perez-Concha S. Kotwal M. Gallagher A. Ritchie Louisa R Jorm 22 75 0 21 May 2019
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network A. Sherstinsky 13 3,592 0 09 Aug 2018
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 205 1,895 0 06 Jun 2016