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Recommendations for the article Dissecting Neural ODEs
Abstract | Title | Authors | Publication Date | Journal/ Conference | Citation count | Highest h-index |
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visibility_off | Implicit regularization of deep residual networks towards neural ODEs | P. Marion, Yu-Han Wu, Michael E. Sander, G'erard Biau | 2023-09-03 | ArXiv | 9 | 6 |
visibility_off | Differential Equations for Continuous-Time Deep Learning | Lars Ruthotto | 2024-01-08 | ArXiv | 2 | 1 |
visibility_off | Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations | D. Martinelli, C. Galimberti, I. Manchester, Luca Furieri, Giancarlo Ferrari-Trecate | 2023-04-06 | 2023 62nd IEEE Conference on Decision and Control (CDC) | 9 | 31 |
visibility_off | Augmented Neural ODEs | Emilien Dupont, A. Doucet, Y. Teh | 2019-04-02 | ArXiv | 532 | 81 |
visibility_off | Review: Ordinary Differential Equations For Deep Learning | Xinshi Chen | 2019-11-01 | ArXiv | 5 | 11 |
visibility_off | Stable architectures for deep neural networks | E. Haber, Lars Ruthotto | 2017-05-09 | Inverse Problems | 641 | 45 |
visibility_off | Learning ODEs via Diffeomorphisms for Fast and Robust Integration | Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos | 2021-07-04 | ArXiv | 3 | 26 |
visibility_off | Time Dependence in Non-Autonomous Neural ODEs | Jared Davis, K. Choromanski, Jacob Varley, Honglak Lee, J. Slotine, Valerii Likhosterov, Adrian Weller, A. Makadia, Vikas Sindhwani | 2020-02-26 | ArXiv | 14 | 87 |
Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |