Stable Neural Flows

18 March 2020

Jinkyoo Park

Papers citing "Stable Neural Flows"

25 / 25 papers shown

Title
Stable Port-Hamiltonian Neural Networks Fabian J. Roth Dominik K. Klein Maximilian Kannapinn Jan Peters Oliver Weeger 72 1 0 04 Feb 2025
Training Stiff Neural Ordinary Differential Equations with Explicit Exponential Integration Methods Colby Fronk Linda R. Petzold 63 2 0 02 Dec 2024
ControlSynth Neural ODEs: Modeling Dynamical Systems with Guaranteed Convergence Wenjie Mei Dongzhe Zheng Shihua Li AI4CE 34 2 0 04 Nov 2024
Digital Twins for Patient Care via Knowledge Graphs and Closed-Form Continuous-Time Liquid Neural Networks Logan Nye AI4CE 16 5 0 08 Jul 2023
Lyapunov-Stable Deep Equilibrium Models Haoyu Chu Shikui Wei Ting Liu Yao-Min Zhao Yuto Miyatake AAML 31 3 0 25 Apr 2023
Unconstrained Parametrization of Dissipative and Contracting Neural Ordinary Differential Equations D. Martinelli C. Galimberti I. Manchester Luca Furieri Giancarlo Ferrari-Trecate 17 11 0 06 Apr 2023
Modeling Nonlinear Dynamics in Continuous Time with Inductive Biases on Decay Rates and/or Frequencies Tomoharu Iwata Yoshinobu Kawahara AI4TS AI4CE 20 0 0 26 Dec 2022
Recognition Models to Learn Dynamics from Partial Observations with Neural ODEs Mona Buisson-Fenet V. Morgenthaler Sebastian Trimpe F. D. Meglio 46 6 0 25 May 2022
Robust Classification using Contractive Hamiltonian Neural ODEs M. Zakwan Liang Xu Giancarlo Ferrari-Trecate 22 23 0 22 Mar 2022
Constructing Neural Network-Based Models for Simulating Dynamical Systems Christian Møldrup Legaard Thomas Schranz G. Schweiger Ján Drgovna Basak Falay C. Gomes Alexandros Iosifidis M. Abkar P. Larsen PINN AI4CE 28 93 0 02 Nov 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 31 82 0 25 Jun 2021
Learning Stochastic Optimal Policies via Gradient Descent Stefano Massaroli Michael Poli Stefano Peluchetti Jinkyoo Park Atsushi Yamashita Hajime Asama 26 9 0 07 Jun 2021
Accelerating Neural ODEs Using Model Order Reduction M. Lehtimäki L. Paunonen M. Linne 19 17 0 28 May 2021
Optimal Energy Shaping via Neural Approximators Stefano Massaroli Michael Poli Federico Califano Jinkyoo Park Atsushi Yamashita Hajime Asama 16 12 0 14 Jan 2021
Neural Ordinary Differential Equations for Intervention Modeling Daehoon Gwak Gyuhyeon Sim Michael Poli Stefano Massaroli Jaegul Choo E. Choi 37 19 0 16 Oct 2020
TorchDyn: A Neural Differential Equations Library Michael Poli Stefano Massaroli Atsushi Yamashita Hajime Asama Jinkyoo Park AI4CE 19 24 0 20 Sep 2020
Continuous-in-Depth Neural Networks A. Queiruga N. Benjamin Erichson D. Taylor Michael W. Mahoney 18 45 0 05 Aug 2020
ResNet After All? Neural ODEs and Their Numerical Solution Katharina Ott P. Katiyar Philipp Hennig Michael Tiemann 30 29 0 30 Jul 2020
Hypersolvers: Toward Fast Continuous-Depth Models Michael Poli Stefano Massaroli Atsushi Yamashita Hajime Asama Jinkyoo Park BDL AI4CE 14 46 0 19 Jul 2020
STEER: Simple Temporal Regularization For Neural ODEs Arna Ghosh Harkirat Singh Behl Emilien Dupont Philip H. S. Torr Vinay P. Namboodiri BDL AI4TS 21 74 0 18 Jun 2020
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks Jens Behrmann Paul Vicol Kuan-Chieh Jackson Wang Roger C. Grosse J. Jacobsen 23 92 0 16 Jun 2020
Learning Dynamics Models with Stable Invariant Sets Naoya Takeishi Yoshinobu Kawahara 15 17 0 16 Jun 2020
Learning normalizing flows from Entropy-Kantorovich potentials Chris Finlay Augusto Gerolin Adam M. Oberman Aram-Alexandre Pooladian 33 23 0 10 Jun 2020
Neural Controlled Differential Equations for Irregular Time Series Patrick Kidger James Morrill James Foster Terry Lyons AI4TS 25 449 0 18 May 2020
Dissecting Neural ODEs Stefano Massaroli Michael Poli Jinkyoo Park Atsushi Yamashita Hajime Asama 10 198 0 19 Feb 2020