Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast
Training and Evaluation of Neural ODEs

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Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs

International Joint Conference on Artificial Intelligence (IJCAI), 2022

14 January 2022

Eric Goubault

Ufuk Topcu

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Papers citing "Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs"

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Title
Theoretical Guarantees for High Order Trajectory Refinement in Generative Flows Chengyue Gong Xiaoyu Li Yingyu Liang Jiangxuan Long Zhenmei Shi Zhao Song Yu Tian 271 9 0 12 Mar 2025
HOFAR: High-Order Augmentation of Flow Autoregressive Transformers Yingyu Liang Zhizhou Sha Zhenmei Shi Zhao Song Mingda Wan 424 4 0 11 Mar 2025
Zero-Shot Transfer of Neural ODEsNeural Information Processing Systems (NeurIPS), 2024 Tyler Ingebrand Adam J. Thorpe Ufuk Topcu 200 12 0 14 May 2024
Differentiable DG with Neural Operator Source Term Correction Shinhoo Kang Emil M. Constantinescu AI4CE 386 0 0 29 Oct 2023
Autonomous Drifting with 3 Minutes of Data via Learned Tire ModelsIEEE International Conference on Robotics and Automation (ICRA), 2023 Franck Djeumou Jonathan Y. Goh Ufuk Topcu Avinash Balachandran 187 29 0 10 Jun 2023
Locally Regularized Neural Differential Equations: Some Black Boxes Were Meant to Remain Closed!International Conference on Machine Learning (ICML), 2023 Avik Pal Alan Edelman Chris Rackauckas 219 4 0 03 Mar 2023
Learning Subgrid-scale Models with Neural Ordinary Differential Equations Shinhoo Kang Emil M. Constantinescu AI4CE 295 7 0 20 Dec 2022
Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural NetworksConference on Learning for Dynamics & Control (L4DC), 2022 Cyrus Neary Ufuk Topcu PINN AI4CE 202 20 0 01 Dec 2022
Learning Robust State Observers using Neural ODEs (longer version)Conference on Learning for Dynamics & Control (L4DC), 2022 Keyan Miao Konstantinos Gatsis OOD 172 17 0 01 Dec 2022
GENIE: Higher-Order Denoising Diffusion SolversNeural Information Processing Systems (NeurIPS), 2022 Tim Dockhorn Arash Vahdat Karsten Kreis DiffM 309 141 0 11 Oct 2022
Improved Batching Strategy For Irregular Time-Series ODEInternational Conference on Machine Learning and Applications (ICMLA), 2022 Ting Fung Lam Yony Bresler Ahmed E. Khorshid Nathan Perlmutter AI4TS 135 0 0 12 Jul 2022
Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening Martin Gonzalez H. Hajri Loic Cantat Mihaly Petreczky 195 1 0 16 Jun 2022
Continuous Deep Equilibrium Models: Training Neural ODEs faster by integrating them to InfinityIEEE Conference on High Performance Extreme Computing (HPEC), 2022 Avik Pal Alan Edelman Chris Rackauckas 218 8 0 28 Jan 2022