"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms

20 September 2020

Papers citing ""Hey, that's not an ODE": Faster ODE Adjoints via Seminorms"

19 / 19 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
Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation Qiyu Kang Xuhao Li Kai Zhao Wenjun Cui Yanan Zhao Weihua Deng Wee Peng Tay 38 1 0 20 Mar 2025
SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Grigory Bartosh Dmitry Vetrov C. A. Naesseth 71 0 0 04 Feb 2025
On the design space between molecular mechanics and machine learning force fields Yuanqing Wang Kenichiro Takaba Michael S. Chen Marcus Wieder Yuzhi Xu ... Kyunghyun Cho Joe G. Greener Peter K. Eastman Stefano Martiniani M. Tuckerman AI4CE 29 4 0 03 Sep 2024
Forward Invariance in Trajectory Spaces for Safety-critical Control Matti Vahs Rafael I. Cabral Muchacho Florian T. Pokorny Jana Tumova 20 2 0 17 Jul 2024
The Disappearance of Timestep Embedding in Modern Time-Dependent Neural Networks Bum Jun Kim Yoshinobu Kawahara Sang Woo Kim AI4TS 16 1 0 23 May 2024
Continuously Evolving Graph Neural Controlled Differential Equations for Traffic Forecasting Jiajia Wu Ling Chen AI4TS 16 2 0 26 Jan 2024
PGODE: Towards High-quality System Dynamics Modeling Xiao Luo Yiyang Gu Huiyu Jiang Hang Zhou Jinsheng Huang Wei Ju Zhiping Xiao Ming Zhang Yizhou Sun AI4CE 27 0 0 11 Nov 2023
Amortized Network Intervention to Steer the Excitatory Point Processes Zitao Song Wendi Ren Sourav Garg 6 1 0 06 Oct 2023
Faster Training of Neural ODEs Using Gauß-Legendre Quadrature Alexander Norcliffe M. Deisenroth 17 2 0 21 Aug 2023
A Neural RDE-based model for solving path-dependent PDEs Bowen Fang Hao Ni Yue-bo Wu 17 1 0 01 Jun 2023
Latent Discretization for Continuous-time Sequence Compression Ricky T. Q. Chen Matt Le Matthew Muckley Maximilian Nickel Karen Ullrich 11 0 0 28 Dec 2022
A Neural ODE Interpretation of Transformer Layers Yaofeng Desmond Zhong Tongtao Zhang Amit Chakraborty Biswadip Dey 12 9 0 12 Dec 2022
Homotopy-based training of NeuralODEs for accurate dynamics discovery Joon-Hyuk Ko Hankyul Koh Nojun Park W. Jhe 22 8 0 04 Oct 2022
LyaNet: A Lyapunov Framework for Training Neural ODEs I. D. Rodriguez Aaron D. Ames Yisong Yue 17 49 0 05 Feb 2022
Neural Flows: Efficient Alternative to Neural ODEs Marin Bilovs Johanna Sommer Syama Sundar Rangapuram Tim Januschowski Stephan Günnemann AI4TS 6 68 0 25 Oct 2021
Closed-form Continuous-time Neural Models Ramin Hasani Mathias Lechner Alexander Amini Lucas Liebenwein Aaron Ray Max Tschaikowski G. Teschl Daniela Rus PINN AI4TS 8 80 0 25 Jun 2021
Neural Controlled Differential Equations for Online Prediction Tasks James Morrill Patrick Kidger Lingyi Yang Terry Lyons AI4TS 20 36 0 21 Jun 2021
Accelerating Neural ODEs Using Model Order Reduction M. Lehtimäki L. Paunonen M. Linne 17 8 0 28 May 2021