SNODE: Spectral Discretization of Neural ODEs for System Identification

17 June 2019

Papers citing "SNODE: Spectral Discretization of Neural ODEs for System Identification"

33 / 33 papers shown

Title
Training Neural ODEs Using Fully Discretized Simultaneous Optimization Mariia Shapovalova Calvin Tsay 37 2 0 24 Feb 2025
Advancing Generalization in PINNs through Latent-Space Representations Honghui Wang Yifan Pu Shiji Song Gao Huang AI4CE PINN 74 0 0 28 Nov 2024
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND Qiyu Kang Kai Zhao Qinxu Ding Feng Ji Xuhao Li Wenfei Liang Yang Song Wee Peng Tay 48 8 0 26 Apr 2024
Neuromorphic Imaging and Classification with Graph Learning Pei Zhang Chutian Wang Edmund Y. Lam GNN 20 9 0 27 Sep 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems Truong X. Nghiem Ján Drgoňa Colin N. Jones Zoltán Nagy Roland Schwan ... J. Paulson Andrea Carron Melanie Zeilinger Wenceslao Shaw-Cortez D. Vrabie PINN AI4CE 42 30 0 24 Jun 2023
Directed Chain Generative Adversarial Networks Ming Min Ruimeng Hu Tomoyuki Ichiba AI4TS AI4CE GAN 22 1 0 25 Apr 2023
Neural Delay Differential Equations: System Reconstruction and Image Classification Qunxi Zhu Yao Guo Wei Lin 25 32 0 11 Apr 2023
Deep networks for system identification: a Survey G. Pillonetto Aleksandr Aravkin Daniel Gedon L. Ljung Antônio H. Ribeiro Thomas B. Schon OOD 42 37 0 30 Jan 2023
Liquid Structural State-Space Models Ramin Hasani Mathias Lechner Tsun-Hsuan Wang Makram Chahine Alexander Amini Daniela Rus AI4TS 107 98 0 26 Sep 2022
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed Shian Du Yihong Luo Wei Chen Jian Xu Delu Zeng 37 7 0 19 Mar 2022
Neural Ordinary Differential Equations for Nonlinear System Identification Aowabin Rahman Ján Drgoňa Aaron Tuor J. Strube 30 22 0 28 Feb 2022
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 33 93 0 02 Nov 2021
How Does Momentum Benefit Deep Neural Networks Architecture Design? A Few Case Studies Bao Wang Hedi Xia T. Nguyen Stanley Osher AI4CE 50 10 0 13 Oct 2021
Heavy Ball Neural Ordinary Differential Equations Hedi Xia Vai Suliafu H. Ji T. Nguyen Andrea L. Bertozzi Stanley J. Osher Bao Wang 45 56 0 10 Oct 2021
Machine learning structure preserving brackets for forecasting irreversible processes Kookjin Lee Nathaniel Trask P. Stinis AI4CE 44 43 0 23 Jun 2021
Causal Navigation by Continuous-time Neural Networks Charles J. Vorbach Ramin Hasani Alexander Amini Mathias Lechner Daniela Rus 28 47 0 15 Jun 2021
OCT-GAN: Neural ODE-based Conditional Tabular GANs Jayoung Kim Jinsung Jeon Jaehoon Lee Jihyeon Hyeong Noseong Park 31 37 0 31 May 2021
MALI: A memory efficient and reverse accurate integrator for Neural ODEs Juntang Zhuang Nicha Dvornek S. Tatikonda James S. Duncan 30 49 0 09 Feb 2021
On The Verification of Neural ODEs with Stochastic Guarantees Sophie Gruenbacher Ramin Hasani Mathias Lechner J. Cyranka S. Smolka Radu Grosu 77 31 0 16 Dec 2020
Faster Policy Learning with Continuous-Time Gradients Samuel K. Ainsworth Kendall Lowrey John Thickstun Zaïd Harchaoui S. Srinivasa 19 11 0 12 Dec 2020
A non-autonomous equation discovery method for time signal classification Ryeongkyung Yoon Harish S. Bhat Braxton Osting 27 2 0 22 Nov 2020
Parameterized Neural Ordinary Differential Equations: Applications to Computational Physics Problems Kookjin Lee E. Parish 18 65 0 28 Oct 2020
"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms Patrick Kidger Ricky T. Q. Chen Terry Lyons 29 40 0 20 Sep 2020
HiPPO: Recurrent Memory with Optimal Polynomial Projections Albert Gu Tri Dao Stefano Ermon Atri Rudra Christopher Ré 54 492 0 17 Aug 2020
Continuous-in-Depth Neural Networks A. Queiruga N. Benjamin Erichson D. Taylor Michael W. Mahoney 18 46 0 05 Aug 2020
Liquid Time-constant Networks Ramin Hasani Mathias Lechner Alexander Amini Daniela Rus Radu Grosu AI4TS AI4CE 24 218 0 08 Jun 2020
Learning Long-Term Dependencies in Irregularly-Sampled Time Series Mathias Lechner Ramin Hasani AI4TS 22 127 0 08 Jun 2020
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE Juntang Zhuang Nicha Dvornek Xiaoxiao Li S. Tatikonda X. Papademetris James Duncan BDL 66 110 0 03 Jun 2020
Neural Controlled Differential Equations for Irregular Time Series Patrick Kidger James Morrill James Foster Terry Lyons AI4TS 29 451 0 18 May 2020
Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs Giorgio Giannone Asha Anoosheh A. Quaglino P. DÓro Marco Gallieri Jonathan Masci AI4TS 19 6 0 07 Apr 2020
Neural Lyapunov Model Predictive Control: Learning Safe Global Controllers from Sub-optimal Examples Mayank Mittal Marco Gallieri A. Quaglino Seyed Sina Mirrazavi Salehian Jan Koutník 25 10 0 21 Feb 2020
Graph Neural Ordinary Differential Equations Michael Poli Stefano Massaroli Junyoung Park Atsushi Yamashita Hajime Asama Jinkyoo Park AI4CE 51 154 0 18 Nov 2019
On Robustness of Neural Ordinary Differential Equations Hanshu Yan Jiawei Du Vincent Y. F. Tan Jiashi Feng OOD 24 138 0 12 Oct 2019