Constructing Neural Network-Based Models for Simulating Dynamical Systems

2 November 2021

Christian Møldrup Legaard

Papers citing "Constructing Neural Network-Based Models for Simulating Dynamical Systems"

27 / 27 papers shown

Title
The Dissipation Theory of Aging: A Quantitative Analysis Using a Cellular Aging Map Farhan Khodaee Rohola Zandie Yufan Xia Elazer R. Edelman 27 0 0 17 Apr 2025
ServoLNN: Lagrangian Neural Networks Driven by Servomechanisms Brandon Johns Zhuomin Zhou Elahe Abdi PINN 3DV 53 0 0 27 Feb 2025
Stable Port-Hamiltonian Neural Networks Fabian J. Roth Dominik K. Klein Maximilian Kannapinn Jan Peters Oliver Weeger 62 1 0 04 Feb 2025
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations Julius Aka Johannes Brunnemann Jörg Eiden Arne Speerforck Lars Mikelsons 13 0 0 14 Oct 2024
Fast Deep Predictive Coding Networks for Videos Feature Extraction without Labels Wenqian Xue C. Ding Jose Principe 15 0 0 08 Sep 2024
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 24 2 0 12 Jul 2024
RoboPack: Learning Tactile-Informed Dynamics Models for Dense Packing Bo Ai Stephen Tian Haochen Shi Yixuan Wang Cheston Tan Yunzhu Li Jiajun Wu 31 3 0 01 Jul 2024
From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems Xin Li Jingdong Zhang Qunxi Zhu Chengli Zhao Xue Zhang Xiaojun Duan Wei Lin 24 3 0 19 May 2024
Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models Muralikrishnan Gopalakrishnan Meena Demetri Liousas Andrew D. Simin Aditya Kashi Wesley Brewer James J. Riley S. D. B. Kops AI4TS AI4CE 28 1 0 24 Apr 2024
MPC of Uncertain Nonlinear Systems with Meta-Learning for Fast Adaptation of Neural Predictive Models Jiaqi Yan Ankush Chakrabarty Alisa Rupenyan John Lygeros 19 0 0 18 Apr 2024
DeformNet: Latent Space Modeling and Dynamics Prediction for Deformable Object Manipulation Chenchang Li Zihao Ai Tong Wu Xiaosa Li Wenbo Ding Huazhe Xu AI4CE 15 4 0 12 Feb 2024
Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling Shaoming Xu A. Khandelwal Arvind Renganathan Vipin Kumar AI4TS 10 1 0 28 Sep 2023
Identifying Simulation Model Through Alternative Techniques for a Medical Device Assembly Process Fatemeh Kakavandi 12 0 0 26 Sep 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems Truong X. Nghiem Ján Drgoňa Colin N. Jones Zoltán Nagy Roland Schwan ... J. Paulson Andrea Carron M. Zeilinger Wenceslao Shaw-Cortez D. Vrabie PINN AI4CE 14 29 0 24 Jun 2023
PINNSim: A Simulator for Power System Dynamics based on Physics-Informed Neural Networks Jochen Stiasny Baosen Zhang Spyros Chatzivasileiadis PINN 6 6 0 17 Mar 2023
Stable Motion Primitives via Imitation and Contrastive Learning Rodrigo Pérez-Dattari Jens Kober 11 8 0 20 Feb 2023
Meta-Learning of Neural State-Space Models Using Data From Similar Systems Ankush Chakrabarty G. Wichern C. Laughman 14 12 0 14 Nov 2022
Recognition Models to Learn Dynamics from Partial Observations with Neural ODEs Mona Buisson-Fenet V. Morgenthaler Sebastian Trimpe F. D. Meglio 30 6 0 25 May 2022
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks Haochen Shi Huazhe Xu Zhiao Huang Yunzhu Li Jiajun Wu 19 58 0 05 May 2022
Surface Similarity Parameter: A New Machine Learning Loss Metric for Oscillatory Spatio-Temporal Data Mathies Wedler M. Stender M. Klein Svenja Ehlers N. Hoffmann 18 7 0 14 Apr 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 161 1,095 0 27 Apr 2021
Robust Classification using Hidden Markov Models and Mixtures of Normalizing Flows Anubhab Ghosh Antoine Honoré Dong Liu G. Henter S. Chatterjee BDL VLM 11 7 0 15 Feb 2021
Constrained Block Nonlinear Neural Dynamical Models Elliott Skomski Soumya Vasisht Colby Wight Aaron Tuor Ján Drgoňa D. Vrabie AI4CE 16 15 0 06 Jan 2021
Stable Neural Flows Stefano Massaroli Michael Poli Michelangelo Bin Jinkyoo Park Atsushi Yamashita Hajime Asama 33 25 0 18 Mar 2020
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 118 364 0 10 Mar 2020
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 226 438 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 252 1,394 0 01 Dec 2016