Neural Controlled Differential Equations for Irregular Time Series

18 May 2020

Papers citing "Neural Controlled Differential Equations for Irregular Time Series"

45 / 45 papers shown

Title
Debiasing 6-DOF IMU via Hierarchical Learning of Continuous Bias Dynamics Ben Liu Tzu-Yuan Lin Wei Zhang Maani Ghaffari 20 0 0 13 Apr 2025
Physics-Informed Residual Neural Ordinary Differential Equations for Enhanced Tropical Cyclone Intensity Forecasting Fan Meng 39 0 0 09 Mar 2025
Learning to Decouple Complex Systems Zihan Zhou Tianshu Yu BDL 64 4 0 17 Feb 2025
sDREAMER: Self-distilled Mixture-of-Modality-Experts Transformer for Automatic Sleep Staging Jingyuan Chen Yuan Yao Mie Anderson Natalie Hauglund Celia Kjaerby Verena Untiet Maiken Nedergaard Jiebo Luo 41 1 0 28 Jan 2025
When are dynamical systems learned from time series data statistically accurate? Jeongjin Park Nicole Yang Nisha Chandramoorthy AI4TS 24 4 0 09 Nov 2024
Efficient, Accurate and Stable Gradients for Neural ODEs Sam McCallum James Foster 19 4 0 15 Oct 2024
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations Julius Aka Johannes Brunnemann Jörg Eiden Arne Speerforck Lars Mikelsons 11 0 0 14 Oct 2024
Feedback Favors the Generalization of Neural ODEs Jindou Jia Zihan Yang Meng Wang Kexin Guo Jianfei Yang Xiang Yu Lei Guo OOD AI4CE 35 2 0 14 Oct 2024
Generalizable autoregressive modeling of time series through functional narratives Ran Liu Wenrui Ma Ellen L. Zippi Hadi Pouransari Jingyun Xiao ... Behrooz Mahasseni Juri Minxha Erdrin Azemi Eva L. Dyer Ali Moin AI4TS 15 0 0 10 Oct 2024
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series Byoungwoo Park Hyungi Lee Juho Lee AI4TS 34 0 0 08 Oct 2024
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling Jinghan Li Zhicheng Sun Fei Li 68 1 0 02 Oct 2024
A Unified Framework for Neural Computation and Learning Over Time S. Melacci Alessandro Betti Michele Casoni Tommaso Guidi Matteo Tiezzi Marco Gori AI4TS 15 0 0 18 Sep 2024
Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation with Diffusion Models Jean-Marie Lemercier Eloi Moliner Simon Welker Vesa Valimaki Timo Gerkmann 40 2 0 14 Aug 2024
Spatio-Temporal Partial Sensing Forecast for Long-term Traffic Zibo Liu Zhe Jiang Zelin Xu Tingsong Xiao Zhengkun Xiao Haibo Wang Shigang Chen AI4TS 25 0 0 02 Aug 2024
Multiple-Resolution Tokenization for Time Series Forecasting with an Application to Pricing Egon Persak Miguel F. Anjos Sebastian Lautz Aleksandar Kolev AI4TS 23 0 0 03 Jul 2024
AdjointDEIS: Efficient Gradients for Diffusion Models Zander Blasingame Chen Liu DiffM 20 1 0 23 May 2024
From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems Xin Li Jingdong Zhang Qunxi Zhu Chengli Zhao Xue Zhang Xiaojun Duan Wei Lin 22 3 0 19 May 2024
Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference Benjamin Walker Andrew D. McLeod Tiexin Qin Yichuan Cheng Haoliang Li Terry Lyons 16 5 0 28 Feb 2024
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data YongKyung Oh Dongyoung Lim Sungil Kim AI4TS 16 11 0 22 Feb 2024
Continuously Evolving Graph Neural Controlled Differential Equations for Traffic Forecasting Jiajia Wu Ling Chen AI4TS 16 2 0 26 Jan 2024
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-time Dynamics Lanlan Chen K. Wu Jian Lou Jing Liu 8 5 0 18 Dec 2023
Enhancing Low-Order Discontinuous Galerkin Methods with Neural Ordinary Differential Equations for Compressible Navier--Stokes Equations Shinhoo Kang Emil M. Constantinescu AI4CE 17 0 0 29 Oct 2023
Faster Training of Neural ODEs Using Gauß-Legendre Quadrature Alexander Norcliffe M. Deisenroth 15 2 0 21 Aug 2023
Branched Latent Neural Maps M. Salvador Alison Lesley Marsden 10 4 0 04 Aug 2023
TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with Transformers Md Fahim Sikder R. Ramachandranpillai Fredrik Heintz DiffM 8 9 0 24 Jul 2023
Trainability, Expressivity and Interpretability in Gated Neural ODEs T. Kim T. Can K. Krishnamurthy AI4CE 19 4 0 12 Jul 2023
Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers Kai Lagemann C. Lagemann Swarnava Mukherjee 19 2 0 21 Jun 2023
An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations Mattia Silvestri Federico Baldo Eleonora Misino M. Lombardi AI4CE 8 1 0 17 Jun 2023
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting Zibo Liu Parshin Shojaee Chandan K. Reddy AI4TS AI4CE 14 9 0 30 May 2023
Hawkes Process Based on Controlled Differential Equations Minju Jo Seung-Uk Kook Noseong Park AI4TS 23 1 0 09 May 2023
Estimating Treatment Effects in Continuous Time with Hidden Confounders Defu Cao James Enouen Y. Liu CML 16 2 0 19 Feb 2023
Learning the Dynamics of Sparsely Observed Interacting Systems Linus Bleistein Adeline Fermanian A. Jannot Agathe Guilloux 20 5 0 27 Jan 2023
Neural Langevin Dynamics: towards interpretable Neural Stochastic Differential Equations Simon Koop M. Peletier J. Portegies Vlado Menkovski DiffM 8 1 0 17 Nov 2022
torchode: A Parallel ODE Solver for PyTorch Marten Lienen Stephan Günnemann LRM 8 11 0 22 Oct 2022
COPER: Continuous Patient State Perceiver V. Chauhan Anshul Thakur Odhran O'Donoghue David A. Clifton AI4TS OOD 14 5 0 05 Aug 2022
Data-Centric Epidemic Forecasting: A Survey Alexander Rodríguez Harshavardhan Kamarthi Pulak Agarwal Javen Ho Mira Patel Suchet Sapre B. Prakash OOD 11 18 0 19 Jul 2022
Realization Theory Of Recurrent Neural ODEs Using Polynomial System Embeddings Martin Gonzalez Thibault Defourneau H. Hajri M. Petreczky 9 2 0 24 May 2022
Monarch: Expressive Structured Matrices for Efficient and Accurate Training Tri Dao Beidi Chen N. Sohoni Arjun D Desai Michael Poli Jessica Grogan Alexander Liu Aniruddh Rao Atri Rudra Christopher Ré 11 87 0 01 Apr 2022
Input-to-State Stable Neural Ordinary Differential Equations with Applications to Transient Modeling of Circuits Alan Yang J. Xiong Maxim Raginsky E. Rosenbaum AI4TS 11 4 0 14 Feb 2022
Characteristic Neural Ordinary Differential Equations Xingzi Xu Ali Hasan Khalil Elkhalil Jie Ding Vahid Tarokh BDL 6 3 0 25 Nov 2021
Climate Modeling with Neural Diffusion Equations JeeHyun Hwang Jeongwhan Choi Hwan-Kyu Choi Kookjin Lee Dongeun Lee Noseong Park DiffM 9 22 0 11 Nov 2021
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes David W. Romero Robert-Jan Bruintjes Jakub M. Tomczak Erik J. Bekkers Mark Hoogendoorn J. C. V. Gemert 74 81 0 15 Oct 2021
"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms Patrick Kidger Ricky T. Q. Chen Terry Lyons 6 39 0 20 Sep 2020
Stable Neural Flows Stefano Massaroli Michael Poli Michelangelo Bin Jinkyoo Park Atsushi Yamashita Hajime Asama 33 25 0 18 Mar 2020
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 191 1,674 0 06 Jun 2016