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Benchmarking Energy-Conserving Neural Networks for Learning Dynamics
  from Data
v1v2v3v4v5v6 (latest)

Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data

Conference on Learning for Dynamics & Control (L4DC), 2020
3 December 2020
Yaofeng Desmond Zhong
Biswadip Dey
Amit Chakraborty
    PINNAI4CE
ArXiv (abs)PDFHTML

Papers citing "Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data"

36 / 36 papers shown
Trading Carbon for Physics: On the Resource Efficiency of Machine Learning for Spatio-Temporal Forecasting
Trading Carbon for Physics: On the Resource Efficiency of Machine Learning for Spatio-Temporal Forecasting
Sophia N. Wilson
Jens Hesselbjerg Christensen
Raghavendra Selvan
AI4CE
170
0
0
29 Sep 2025
Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks
Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks
Cyrus Neary
Nathan Tsao
Ufuk Topcu
429
4
0
15 Dec 2024
Lagrangian neural networks for nonholonomic mechanics
Lagrangian neural networks for nonholonomic mechanics
Viviana Alejandra Diaz
Leandro Martin Salomone
Marcela Zuccalli
299
3
0
31 Oct 2024
Stability-Informed Initialization of Neural Ordinary Differential
  Equations
Stability-Informed Initialization of Neural Ordinary Differential EquationsInternational Conference on Machine Learning (ICML), 2023
Theodor Westny
Arman Mohammadi
Daniel Jung
Erik Frisk
490
6
0
27 Nov 2023
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian
  Graph Neural Networks
Discovering Symbolic Laws Directly from Trajectories with Hamiltonian Graph Neural Networks
S. Bishnoi
Ravinder Bhattoo
J. Jayadeva
Jignesh M. Patel
N. M. A. Krishnan
PINNAI4CE
279
3
0
11 Jul 2023
Learning Latent Dynamics via Invariant Decomposition and
  (Spatio-)Temporal Transformers
Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers
Kai Lagemann
C. Lagemann
Swarnava Mukherjee
345
2
0
21 Jun 2023
Graph Neural Stochastic Differential Equations for Learning Brownian
  Dynamics
Graph Neural Stochastic Differential Equations for Learning Brownian Dynamics
S. Bishnoi
J. Jayadeva
Jignesh M. Patel
N. M. A. Krishnan
344
4
0
20 Jun 2023
How to Learn and Generalize From Three Minutes of Data:
  Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential
  Equations
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential EquationsConference on Robot Learning (CoRL), 2023
Franck Djeumou
Cyrus Neary
Ufuk Topcu
DiffM
315
15
0
10 Jun 2023
Discovering interpretable Lagrangian of dynamical systems from data
Discovering interpretable Lagrangian of dynamical systems from dataComputer Physics Communications (CPC), 2023
Tapas Tripura
S. Chakraborty
209
6
0
09 Feb 2023
Physics-Informed Model-Based Reinforcement Learning
Physics-Informed Model-Based Reinforcement LearningConference on Learning for Dynamics & Control (L4DC), 2022
Adithya Ramesh
Balaraman Ravindran
325
28
0
05 Dec 2022
Compositional Learning of Dynamical System Models Using Port-Hamiltonian
  Neural Networks
Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural NetworksConference on Learning for Dynamics & Control (L4DC), 2022
Cyrus Neary
Ufuk Topcu
PINNAI4CE
310
23
0
01 Dec 2022
Lie Group Forced Variational Integrator Networks for Learning and
  Control of Robot Systems
Lie Group Forced Variational Integrator Networks for Learning and Control of Robot SystemsConference on Learning for Dynamics & Control (L4DC), 2022
Valentin Duruisseaux
T. Duong
Melvin Leok
Nikolay Atanasov
DRLAI4CE
550
17
0
29 Nov 2022
Unravelling the Performance of Physics-informed Graph Neural Networks
  for Dynamical Systems
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical SystemsNeural Information Processing Systems (NeurIPS), 2022
A. Thangamuthu
Gunjan Kumar
S. Bishnoi
Ravinder Bhattoo
N. M. A. Krishnan
Jignesh M. Patel
AI4CEPINN
218
35
0
10 Nov 2022
Port-metriplectic neural networks: thermodynamics-informed machine
  learning of complex physical systems
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systemsComputational Mechanics (Comput. Mech.), 2022
Quercus Hernandez
Alberto Badías
Francisco Chinesta
Elías Cueto
PINNAI4CE
473
20
0
03 Nov 2022
Approximation of nearly-periodic symplectic maps via
  structure-preserving neural networks
Approximation of nearly-periodic symplectic maps via structure-preserving neural networksScientific Reports (Sci Rep), 2022
Valentin Duruisseaux
J. Burby
Q. Tang
360
14
0
11 Oct 2022
Data-driven discovery of non-Newtonian astronomy via learning
  non-Euclidean Hamiltonian
Data-driven discovery of non-Newtonian astronomy via learning non-Euclidean Hamiltonian
Oswin So
Gongjie Li
Evangelos A. Theodorou
Molei Tao
AI4CE
243
3
0
30 Sep 2022
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural
  Network
Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural NetworkNeural Information Processing Systems (NeurIPS), 2022
Ravinder Bhattoo
Jignesh M. Patel
N. M. A. Krishnan
AI4CE
284
31
0
23 Sep 2022
Enhancing the Inductive Biases of Graph Neural ODE for Modeling
  Dynamical Systems
Enhancing the Inductive Biases of Graph Neural ODE for Modeling Dynamical Systems
S. Bishnoi
Ravinder Bhattoo
Jignesh M. Patel
N. M. A. Krishnan
AI4CE
322
24
0
22 Sep 2022
Learning the Dynamics of Particle-based Systems with Lagrangian Graph
  Neural Networks
Learning the Dynamics of Particle-based Systems with Lagrangian Graph Neural Networks
Ravinder Bhattoo
Jignesh M. Patel
N. M. A. Krishnan
PINNAI4CE
280
26
0
03 Sep 2022
Thermodynamics of learning physical phenomena
Thermodynamics of learning physical phenomenaArchives of Computational Methods in Engineering (ACME), 2022
Elías Cueto
Francisco Chinesta
AI4CE
390
29
0
26 Jul 2022
ModLaNets: Learning Generalisable Dynamics via Modularity and Physical
  Inductive Bias
ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive BiasInternational Conference on Machine Learning (ICML), 2022
Yupu Lu
Shi-Min Lin
Guanqi Chen
Jia Pan
340
10
0
24 Jun 2022
Recognition Models to Learn Dynamics from Partial Observations with
  Neural ODEs
Recognition Models to Learn Dynamics from Partial Observations with Neural ODEs
Mona Buisson-Fenet
V. Morgenthaler
Sebastian Trimpe
F. D. Meglio
346
6
0
25 May 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and
  Vibroacoustic
A Review of Machine Learning Methods Applied to Structural Dynamics and VibroacousticMechanical systems and signal processing (MSSP), 2022
Barbara Z Cunha
C. Droz
A. Zine
Stéphane Foulard
M. Ichchou
AI4CE
264
134
0
13 Apr 2022
Learning Trajectories of Hamiltonian Systems with Neural Networks
Learning Trajectories of Hamiltonian Systems with Neural NetworksInternational Conference on Artificial Neural Networks (ICANN), 2022
Katsiaryna Haitsiukevich
Alexander Ilin
178
5
0
11 Apr 2022
Learning Neural Hamiltonian Dynamics: A Methodological Overview
Learning Neural Hamiltonian Dynamics: A Methodological Overview
Zhijie Chen
Mingquan Feng
Junchi Yan
H. Zha
AI4CE
242
17
0
28 Feb 2022
Deconstructing the Inductive Biases of Hamiltonian Neural Networks
Deconstructing the Inductive Biases of Hamiltonian Neural NetworksInternational Conference on Learning Representations (ICLR), 2022
Nate Gruver
Marc Finzi
Samuel Stanton
A. Wilson
AI4CE
265
50
0
10 Feb 2022
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast
  Training and Evaluation of Neural ODEs
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEsInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Franck Djeumou
Cyrus Neary
Eric Goubault
S. Putot
Ufuk Topcu
AI4TS
265
20
0
14 Jan 2022
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred
  from Vision
SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from VisionNeural Information Processing Systems (NeurIPS), 2021
I. Higgins
Peter Wirnsberger
Andrew Jaegle
Aleksandar Botev
275
9
0
10 Nov 2021
Which priors matter? Benchmarking models for learning latent dynamics
Which priors matter? Benchmarking models for learning latent dynamics
Aleksandar Botev
Andrew Jaegle
Peter Wirnsberger
Daniel Hennes
I. Higgins
AI4CE
323
31
0
09 Nov 2021
Lagrangian Neural Network with Differentiable Symmetries and Relational
  Inductive Bias
Lagrangian Neural Network with Differentiable Symmetries and Relational Inductive Bias
Ravinder Bhattoo
Jignesh M. Patel
N. M. A. Krishnan
AI4CE
209
4
0
07 Oct 2021
Neural Networks with Physics-Informed Architectures and Constraints for
  Dynamical Systems Modeling
Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
Franck Djeumou
Cyrus Neary
Eric Goubault
S. Putot
Ufuk Topcu
PINNAI4CE
272
95
0
14 Sep 2021
Structure-preserving Sparse Identification of Nonlinear Dynamics for
  Data-driven Modeling
Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling
Kookjin Lee
Nathaniel Trask
P. Stinis
243
38
0
11 Sep 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey
Physics-Guided Deep Learning for Dynamical Systems: A Survey
Rui Wang
Rose Yu
AI4CEPINN
598
86
0
02 Jul 2021
Incorporating NODE with Pre-trained Neural Differential Operator for
  Learning Dynamics
Incorporating NODE with Pre-trained Neural Differential Operator for Learning Dynamics
Shiqi Gong
Qi Meng
Yue Wang
Lijun Wu
Wei Chen
Zhi-Ming Ma
Tie-Yan Liu
305
4
0
08 Jun 2021
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable
  Contact Models
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact ModelsNeural Information Processing Systems (NeurIPS), 2021
Yaofeng Desmond Zhong
Biswadip Dey
Amit Chakraborty
322
44
0
12 Feb 2021
Optimal Energy Shaping via Neural Approximators
Optimal Energy Shaping via Neural ApproximatorsSIAM Journal on Applied Dynamical Systems (SIADS), 2021
Stefano Massaroli
Michael Poli
Federico Califano
Jinkyoo Park
Atsushi Yamashita
Hajime Asama
134
17
0
14 Jan 2021
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