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ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs

International Joint Conference on Artificial Intelligence (IJCAI), 2019

27 February 2019

Papers citing "ANODE: Unconditionally Accurate Memory-Efficient Gradients for Neural ODEs"

50 / 109 papers shown

Title
Zero-Shot Function Encoder-Based Differentiable Predictive Control Hassan Iqbal Xingjian Li Tyler Ingebrand Adam J. Thorpe Krishna Kumar Ufuk Topcu Ján Drgoňa 84 0 0 07 Nov 2025
Mixed Precision Training of Neural ODEs E. Celledoni B. Owren Lars Ruthotto Tianjiao Nicole Yang 48 1 0 27 Oct 2025
Active Subspaces in Infinite Dimension Poorbita Kundu Nathan Wycoff 53 0 0 13 Oct 2025
PDE-Transformer: A Continuous Dynamical Systems Approach to Sequence Modeling Yukun Zhang Xueqing Zhou AI4CE 99 0 0 27 Sep 2025
Reversible Deep Equilibrium Models Sam McCallum Kamran Arora James Foster 95 2 0 16 Sep 2025
SciML Agents: Write the Solver, Not the Solution Saarth Gaonkar Xiang Zheng Haocheng Xi Rishabh Tiwari Kurt Keutzer Dmitriy Morozov Michael W. Mahoney Amir Gholami LLMAG 108 1 0 12 Sep 2025
FNODE: Flow-Matching for data-driven simulation of constrained multibody systems Hongyu Wang Jingquan Wang Dan Negrut AI4CE 108 0 0 29 Aug 2025
The Vanishing Gradient Problem for Stiff Neural Differential Equations Colby Fronk Linda R. Petzold 106 1 0 02 Aug 2025
Weight-Parameterization in Continuous Time Deep Neural Networks for Surrogate Modeling Haley Rosso Lars Ruthotto Khachik Sargsyan OOD AI4TS 108 0 0 29 Jul 2025
ODE $_t$ (ODE $_l$ ): Shortcutting the Time and the Length in Diffusion and Flow Models for Faster Sampling Denis A. Gudovskiy Wenzhao Zheng Tomoyuki Okuno Yohei Nakata Kurt Keutzer 114 0 0 26 Jun 2025
Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints Utkarsh Utkarsh Pengfei Cai Alan Edelman Rafael Gomez-Bombarelli Christopher Rackauckas AI4CE 174 9 0 04 Jun 2025
Integration Flow Models Jingjing Wang Dan Zhang Joshua Luo Yin Yang Feng Luo 854 1 0 28 Apr 2025
Training Stiff Neural Ordinary Differential Equations with Explicit Exponential Integration MethodsChaos (Chaos), 2024 Colby Fronk Linda R. Petzold 294 5 0 02 Dec 2024
Efficient, Accurate and Stable Gradients for Neural ODEs Sam McCallum James Foster 380 8 0 15 Oct 2024
DFM: Interpolant-free Dual Flow Matching Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata AI4CE 184 0 0 11 Oct 2024
Training Stiff Neural Ordinary Differential Equations with Implicit Single-Step MethodsChaos (Chaos), 2024 Colby Fronk Linda R. Petzold 211 9 0 08 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 265 0 0 18 Sep 2024
Sequential-in-time training of nonlinear parametrizations for solving time-dependent partial differential equations Huan Zhang Yifan Chen Eric Vanden-Eijnden Benjamin Peherstorfer 194 6 0 01 Apr 2024
Systematic construction of continuous-time neural networks for linear dynamical systems Chinmay Datar Adwait Datar Felix Dietrich W. Schilders AI4TS 171 2 0 24 Mar 2024
Differential Equations for Continuous-Time Deep LearningNotices of the American Mathematical Society (Not. Amer. Math. Soc.), 2024 Lars Ruthotto AI4TS AI4CE SyDa BDL 113 9 0 08 Jan 2024
Stability-Informed Initialization of Neural Ordinary Differential EquationsInternational Conference on Machine Learning (ICML), 2023 Theodor Westny Arman Mohammadi Daniel Jung Erik Frisk 335 2 0 27 Nov 2023
Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs James Hazelden Yuhan Helena Liu Eli Shlizerman E. Shea-Brown 255 6 0 17 Nov 2023
Distribution learning via neural differential equations: a nonparametric statistical perspectiveJournal of machine learning research (JMLR), 2023 Youssef Marzouk Zhi Ren Sven Wang Jakob Zech 174 18 0 03 Sep 2023
Persistent learning signals and working memory without continuous attractors Il Memming Park Ábel Ságodi Piotr Sokól 186 13 0 24 Aug 2023
Faster Training of Neural ODEs Using Gauß-Legendre Quadrature Alexander Norcliffe M. Deisenroth 134 5 0 21 Aug 2023
Trainability, Expressivity and Interpretability in Gated Neural ODEsInternational Conference on Machine Learning (ICML), 2023 T. Kim T. Can K. Krishnamurthy AI4CE 289 6 0 12 Jul 2023
Correcting Auto-Differentiation in Neural-ODE Training Yewei Xu Shi Chen Qin Li 185 1 0 03 Jun 2023
Learning PDE Solution Operator for Continuous Modeling of Time-Series Yesom Park Jaemoo Choi Changyeon Yoon Changhoon Song Myung-joo Kang AI4TS AI4CE 110 3 0 02 Feb 2023
On backpropagating Hessians through ODEs Axel Ciceri T. Fischbacher 110 0 0 19 Jan 2023
Generalized Neural Closure Models with InterpretabilityScientific Reports (Sci Rep), 2023 Abhinava Gupta Pierre FJ Lermusiaux AI4CE 163 14 0 15 Jan 2023
Offline Supervised Learning V.S. Online Direct Policy Optimization: A Comparative Study and A Unified Training Paradigm for Neural Network-Based Optimal Feedback Control Yue Zhao Jiequn Han OffRL 181 11 0 29 Nov 2022
torchode: A Parallel ODE Solver for PyTorch Marten Lienen Stephan Günnemann LRM 186 15 0 22 Oct 2022
Deep Learning Aided Laplace Based Bayesian Inference for Epidemiological SystemsStatistics and computing (Stat. Comput.), 2022 Wai Meng Kwok S. Dass G. Streftaris 120 3 0 17 Oct 2022
Parameter-varying neural ordinary differential equations with partition-of-unity networks Kookjin Lee N. Trask 212 2 0 01 Oct 2022
Federated Learning of Neural ODE Models with Different Iteration Counts Yuto Hoshino Hiroki Kawakami Hiroki Matsutani FedML 152 0 0 19 Aug 2022
Reachability Analysis of a General Class of Neural Ordinary Differential EquationsInternational Conference on Formal Modeling and Analysis of Timed Systems (FORMATS), 2022 Diego Manzanas Lopez Patrick Musau Nathaniel P. Hamilton Taylor T. Johnson 163 17 0 13 Jul 2022
A memory-efficient neural ODE framework based on high-level adjoint differentiationIEEE Transactions on Artificial Intelligence (IEEE TAI), 2022 Hong Zhang Wenjun Zhao 162 5 0 02 Jun 2022
A scalable deep learning approach for solving high-dimensional dynamic optimal transportSIAM Journal on Scientific Computing (SISC), 2022 Wei Wan Yuejin Zhang Chenglong Bao Bin Dong Zuoqiang Shi 125 8 0 16 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
TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving SpeedComputer Vision and Pattern Recognition (CVPR), 2022 Shian Du Yihong Luo Wei Chen Jian Xu Delu Zeng 218 9 0 19 Mar 2022
Continuous-Time Meta-Learning with Forward Mode DifferentiationInternational Conference on Learning Representations (ICLR), 2022 T. Deleu David Kanaa Leo Feng Giancarlo Kerg Yoshua Bengio Guillaume Lajoie Pierre-Luc Bacon 196 20 0 02 Mar 2022
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning Said Ouala Steven L. Brunton A. Pascual Bertrand Chapron F. Collard L. Gaultier Ronan Fablet PINN AI4TS AI4CE 220 13 0 11 Feb 2022
Latent Time Neural Ordinary Differential EquationsAAAI Conference on Artificial Intelligence (AAAI), 2021 Srinivas Anumasa P. K. Srijith BDL 108 7 0 23 Dec 2021
Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential EquationsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 Srinivas Anumasa P. K. Srijith OOD UQCV BDL 157 12 0 23 Dec 2021
Neural Point Process for Learning Spatiotemporal Event Dynamics Zihao Zhou Xingyi Yang Ryan Rossi Handong Zhao Rose Yu 3DPC 205 39 0 12 Dec 2021
Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks Qi Sun Hexin Dong Zewei Chen Jiacheng Sun Zhenguo Li Bin Dong 170 3 0 10 Dec 2021
Neural Flows: Efficient Alternative to Neural ODEsNeural Information Processing Systems (NeurIPS), 2021 Marin Bilovs Johanna Sommer Syama Sundar Rangapuram Tim Januschowski Stephan Günnemann AI4TS 179 96 0 25 Oct 2021
Equivariant Finite Normalizing Flows A. Bose Marcus A. Brubaker I. Kobyzev DRL 188 11 0 16 Oct 2021
Meta-Learning with Adjoint Methods Shibo Li Zheng Wang A. Narayan Robert M. Kirby Shandian Zhe 165 5 0 16 Oct 2021
Second-Order Neural ODE Optimizer Guan-Horng Liu T. Chen Evangelos A. Theodorou 134 18 0 29 Sep 2021