Neural Flows: Efficient Alternative to Neural ODEs

25 October 2021

Marin Bilovs

Johanna Sommer

Syama Sundar Rangapuram

Tim Januschowski

Stephan Günnemann

AI4TS

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Papers citing "Neural Flows: Efficient Alternative to Neural ODEs"

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Title
Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline Xvyuan Liu Xiangfei Qiu Xingjian Wu Zhengyu Li Chenjuan Guo J. Hu Bin Yang AI4TS 12 0 0 16 May 2025
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
Symbolic Neural Ordinary Differential Equations Xin Li Chengli Zhao Xue Zhang Xiaojun Duan 37 0 0 11 Mar 2025
Neural Spatiotemporal Point Processes: Trends and Challenges Sumantrak Mukherjee Mouad Elhamdi George Mohler David Selby Yao Xie Sebastian Vollmer Gerrit Grossmann AI4TS 184 1 0 13 Feb 2025
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Grigory Bartosh Dmitry Vetrov C. A. Naesseth 78 0 0 04 Feb 2025
Symplectic Neural Flows for Modeling and Discovery Priscilla Canizares Davide Murari Carola-Bibiane Schönlieb Ferdia Sherry Zakhar Shumaylov 80 1 0 21 Dec 2024
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis Jiexi Liu Meng Cao Songcan Chen AI4TS 80 1 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 84 0 0 02 Dec 2024
FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities Jingge Xiao Yile Chen Gao Cong Wolfgang Nejdl Simon Gottschalk AI4TS 36 0 0 30 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
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
Unleash The Power of Pre-Trained Language Models for Irregularly Sampled Time Series Weijia Zhang Chenlong Yin Hao Liu Hui Xiong AI4TS 60 3 0 12 Aug 2024
Neural Network Emulator for Atmospheric Chemical ODE Zhi-Song Liu Petri S. Clusius Michael Boy 42 3 0 03 Aug 2024
Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching Fernando Moreno-Pino Alvaro Arroyo H. Waldon Xiaowen Dong Álvaro Cartea AI4TS 37 1 0 31 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 55 3 0 19 May 2024
Functional Latent Dynamics for Irregularly Sampled Time Series Forecasting Christian Klötergens Vijaya Krishna Yalavarthi Maximilian Stubbemann Lars Schmidt-Thieme 28 0 0 06 May 2024
Pretext Training Algorithms for Event Sequence Data Yimu Wang He Zhao Ruizhi Deng Frederick Tung Greg Mori AI4TS 34 0 0 16 Feb 2024
Probabilistic Forecasting of Irregular Time Series via Conditional Flows Vijaya Krishna Yalavarthi Randolf Scholz Stefan Born Lars Schmidt-Thieme AI4TS 35 0 0 09 Feb 2024
Liquid Resistance Liquid Capacitance Networks Mónika Farsang Sophie A. Neubauer Radu Grosu AI4TS 25 2 0 30 Jan 2024
Gaussian Interpolation Flows Yuan Gao Jianxia Huang Yuling Jiao AI4CE 18 2 0 20 Nov 2023
Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction G. Jin Lingbo Liu Fuxian Li Jincai Huang AI4TS GNN 3DPC 24 34 0 15 Nov 2023
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation Marten Lienen David Lüdke Jan Hansen-Palmus Stephan Günnemann DiffM AI4CE 24 23 0 29 May 2023
Lagrangian Flow Networks for Conservation Laws F. A. Torres M. Negri M. Inversi Jonathan Aellen Volker Roth 35 2 0 26 May 2023
Koopman Kernel Regression Petar Bevanda Maximilian Beier Armin Lederer Stefan Sosnowski Eyke Hüllermeier Sandra Hirche AI4TS 24 16 0 25 May 2023
Forecasting Irregularly Sampled Time Series using Graphs Vijaya Krishna Yalavarthi Kiran Madusudanan Randolf Scholz Nourhan Ahmed Johannes Burchert Shayan Jawed Stefan Born Lars Schmidt-Thieme AI4TS 19 2 0 22 May 2023
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers Jing Xiao Leonie Basso Wolfgang Nejdl Niloy Ganguly Sandipan Sikdar AI4TS 26 3 0 11 May 2023
Generalization bounds for neural ordinary differential equations and deep residual networks P. Marion 30 18 0 11 May 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 36 0 0 14 Apr 2023
Learning Flow Functions from Data with Applications to Nonlinear Oscillators Miguel Aguiar Amritam Das Karl H. Johansson 16 2 0 29 Mar 2023
Consistency Models Yang Song Prafulla Dhariwal Mark Chen Ilya Sutskever VLM DiffM 25 865 0 02 Mar 2023
Learning PDE Solution Operator for Continuous Modeling of Time-Series Yesom Park Jaemoo Choi Changyeon Yoon Changhoon Song Myung-joo Kang AI4TS AI4CE 27 3 0 02 Feb 2023
Self-Consistent Velocity Matching of Probability Flows Lingxiao Li Samuel Hurault Justin Solomon 32 12 0 31 Jan 2023
Meta Temporal Point Processes Wonho Bae Mohamed Osama Ahmed Frederick Tung Gabriel L. Oliveira AI4TS 22 18 0 27 Jan 2023
Forecasting the 2016-2017 Central Apennines Earthquake Sequence with a Neural Point Process S. Stockman Daniel J. Lawson M. J. Werner 3DPC 19 13 0 24 Jan 2023
Integration-free Learning of Flow Maps Saroj Sahoo M. Berger 31 1 0 06 Nov 2022
Irregularly-Sampled Time Series Modeling with Spline Networks Marin Bilos Emanuel Ramneantu Stephan Günnemann AI4TS 26 1 0 19 Oct 2022
Deep Learning Aided Laplace Based Bayesian Inference for Epidemiological Systems Wai Meng Kwok S. Dass G. Streftaris 27 3 0 17 Oct 2022
Improved Batching Strategy For Irregular Time-Series ODE Ting Fung Lam Yony Bresler Ahmed E. Khorshid Nathan Perlmutter AI4TS 18 0 0 12 Jul 2022
Understanding convolution on graphs via energies Francesco Di Giovanni J. Rowbottom B. Chamberlain Thomas Markovich Michael M. Bronstein GNN 18 43 0 22 Jun 2022
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain Samuel Holt Zhaozhi Qian M. Schaar AI4CE 11 25 0 10 Jun 2022
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 226 2,287 0 18 Oct 2020
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey Konstantinos Benidis Syama Sundar Rangapuram Valentin Flunkert Bernie Wang Danielle C. Maddix ... David Salinas Lorenzo Stella François-Xavier Aubet Laurent Callot Tim Januschowski AI4TS 25 176 0 21 Apr 2020
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 213 1,897 0 06 Jun 2016
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex Q. Liao T. Poggio 213 255 0 13 Apr 2016