Papers citing 'Symplectic Adjoint Method for Exact Gradient of Neural ODE with Minimal Memory'

Title
Symplectic Bregman divergencesEntropy (Entropy), 2024 Frank Nielsen 154 1 0 23 Aug 2024
Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method Jiachun Pan Hanshu Yan Jun Hao Liew Jiashi Feng Vincent Y. F. Tan 151 9 0 19 Dec 2023
Ortho-ODE: Enhancing Robustness and of Neural ODEs against Adversarial Attacks V. Purohit AAML 174 1 0 16 May 2023
Modeling Nonlinear Dynamics in Continuous Time with Inductive Biases on Decay Rates and/or Frequencies Tomoharu Iwata Yoshinobu Kawahara AI4TS AI4CE 212 0 0 26 Dec 2022
Homotopy-based training of NeuralODEs for accurate dynamics discoveryNeural Information Processing Systems (NeurIPS), 2022 Joon-Hyuk Ko Hankyul Koh Nojun Park W. Jhe 304 10 0 04 Oct 2022
Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening Martin Gonzalez H. Hajri Loic Cantat Mihaly Petreczky 171 1 0 16 Jun 2022
Standalone Neural ODEs with Sensitivity Analysis Rym Jaroudi Lukáš Malý Gabriel Eilertsen B. Johansson Jonas Unger George Baravdish 160 0 0 27 May 2022
Proximal Implicit ODE Solvers for Accelerating Learning Neural ODEs Justin Baker Hedi Xia Yiwei Wang E. Cherkaev A. Narayan Long Chen Jack Xin Andrea L. Bertozzi Stanley J. Osher Bao Wang 171 10 0 19 Apr 2022
Learning Neural Hamiltonian Dynamics: A Methodological Overview Zhijie Chen Mingquan Feng Junchi Yan H. Zha AI4CE 183 17 0 28 Feb 2022
Characteristic Neural Ordinary Differential EquationsInternational Conference on Learning Representations (ICLR), 2021 Xingzi Xu Ali Hasan Khalil Elkhalil Jie Ding Vahid Tarokh BDL 334 3 0 25 Nov 2021