Saved in:
| Main Authors: | Eldred, Christopher, Gay-Balmaz, François, Putkaradze, Vakhtang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2408.16160 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Variational Neural Networks for Observable Thermodynamics (V-NOTS)
by: Eldred, Christopher, et al.
Published: (2025)
by: Eldred, Christopher, et al.
Published: (2025)
Structure-preserving learning and prediction in optimal control of collective motion
by: Huraka, Sofiia, et al.
Published: (2026)
by: Huraka, Sofiia, et al.
Published: (2026)
Geometric, Variational, and Bracket Descriptions of Fluid Motion with Open Boundaries
by: Eldred, Christopher, et al.
Published: (2024)
by: Eldred, Christopher, et al.
Published: (2024)
Variational integrators for stochastic Hamiltonian systems on Lie groups: properties and convergence
by: Gay-Balmaz, François, et al.
Published: (2024)
by: Gay-Balmaz, François, et al.
Published: (2024)
The Dictator Dilemma: The Distortion of Information Flow in Autocratic Regimes and Its Consequences
by: Putkaradze, Vakhtang
Published: (2023)
by: Putkaradze, Vakhtang
Published: (2023)
General relativistic Lagrangian continuum theories -- Part I: reduced variational principles and junction conditions for hydrodynamics and elasticity
by: Gay-Balmaz, François
Published: (2022)
by: Gay-Balmaz, François
Published: (2022)
Quantum-classical solvation hydrodynamics: a Hamiltonian modeling framework
by: Gay-Balmaz, François, et al.
Published: (2026)
by: Gay-Balmaz, François, et al.
Published: (2026)
Swirling fluid flow in flexible, expandable elastic tubes: variational approach, reductions and integrability
by: Ivanov, Rossen, et al.
Published: (2019)
by: Ivanov, Rossen, et al.
Published: (2019)
A Variational Principle for Extended Irreversible Thermodynamics: Heat Conducting Viscous Fluids
by: Gay-Balmaz, François
Published: (2025)
by: Gay-Balmaz, François
Published: (2025)
General relativistic Lagrangian continuum theories -- Part II: electromagnetic fluids and solids with junction conditions
by: Gay-Balmaz, Francçois
Published: (2025)
by: Gay-Balmaz, Francçois
Published: (2025)
Poisson-Dirac Neural Networks for Modeling Coupled Dynamical Systems across Domains
by: Khosrovian, Razmik Arman, et al.
Published: (2024)
by: Khosrovian, Razmik Arman, et al.
Published: (2024)
Variational Principles for Shock Dynamics in Compressible Euler Flows
by: Gay-Balmaz, François, et al.
Published: (2026)
by: Gay-Balmaz, François, et al.
Published: (2026)
Variational and thermodynamically consistent finite element discretization for heat conducting viscous fluids
by: Gawlik, Evan S., et al.
Published: (2022)
by: Gawlik, Evan S., et al.
Published: (2022)
Complex fluid models of mixed quantum-classical dynamics
by: Gay-Balmaz, François, et al.
Published: (2023)
by: Gay-Balmaz, François, et al.
Published: (2023)
Equivariant Neural Networks for General Linear Symmetries on Lie Algebras
by: Kim, Chankyo, et al.
Published: (2025)
by: Kim, Chankyo, et al.
Published: (2025)
Variational formulation of a general dissipative fluid system with differential forms
by: Manach-Pérennou, Bastien, et al.
Published: (2026)
by: Manach-Pérennou, Bastien, et al.
Published: (2026)
Generalized Lie Symmetries in Physics-Informed Neural Operators
by: Wang, Amy Xiang, et al.
Published: (2025)
by: Wang, Amy Xiang, et al.
Published: (2025)
Learning Trajectories of Hamiltonian Systems with Neural Networks
by: Haitsiukevich, Katsiaryna, et al.
Published: (2022)
by: Haitsiukevich, Katsiaryna, et al.
Published: (2022)
Multi Part Deployment of Neural Network
by: Ranjan, Paritosh, et al.
Published: (2025)
by: Ranjan, Paritosh, et al.
Published: (2025)
Frequency-Separable Hamiltonian Neural Network for Multi-Timescale Dynamics
by: Li, Yaojun, et al.
Published: (2026)
by: Li, Yaojun, et al.
Published: (2026)
Stable Port-Hamiltonian Neural Networks
by: Roth, Fabian J., et al.
Published: (2025)
by: Roth, Fabian J., et al.
Published: (2025)
Separable Hamiltonian Neural Networks
by: Khoo, Zi-Yu, et al.
Published: (2023)
by: Khoo, Zi-Yu, et al.
Published: (2023)
Lie Group Decompositions for Equivariant Neural Networks
by: Mironenco, Mircea, et al.
Published: (2023)
by: Mironenco, Mircea, et al.
Published: (2023)
Symmetry Breaking and Equivariant Neural Networks
by: Kaba, Sékou-Oumar, et al.
Published: (2023)
by: Kaba, Sékou-Oumar, et al.
Published: (2023)
Switch-Based Multi-Part Neural Network
by: Majumder, Surajit, et al.
Published: (2025)
by: Majumder, Surajit, et al.
Published: (2025)
Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras
by: Lin, Tzu-Yuan, et al.
Published: (2023)
by: Lin, Tzu-Yuan, et al.
Published: (2023)
P-DROP: Poisson-Based Dropout for Graph Neural Networks
by: Yun, Hyunsik
Published: (2025)
by: Yun, Hyunsik
Published: (2025)
The restricted Siegel disc as coadjoint orbit
by: Gay-Balmaz, François, et al.
Published: (2024)
by: Gay-Balmaz, François, et al.
Published: (2024)
Infinite-dimensional Lagrange-Dirac systems with boundary energy flow I: Foundations
by: Gay-Balmaz, François, et al.
Published: (2025)
by: Gay-Balmaz, François, et al.
Published: (2025)
Structure-preserving and thermodynamically consistent finite element discretization for visco-resistive MHD with thermoelectric effect
by: Gawlik, Evan S., et al.
Published: (2025)
by: Gawlik, Evan S., et al.
Published: (2025)
Infinite-dimensional Lagrange-Dirac systems with boundary energy flow II: Field theories with bundle-valued forms
by: Gay-Balmaz, François, et al.
Published: (2025)
by: Gay-Balmaz, François, et al.
Published: (2025)
Entropy functionals and equilibrium states in mixed quantum-classical dynamics
by: Tronci, Cesare, et al.
Published: (2025)
by: Tronci, Cesare, et al.
Published: (2025)
Symmetry in Neural Network Parameter Spaces
by: Zhao, Bo, et al.
Published: (2025)
by: Zhao, Bo, et al.
Published: (2025)
Learning Subsystem Dynamics in Nonlinear Systems via Port-Hamiltonian Neural Networks
by: van Otterdijk, G. J. E., et al.
Published: (2024)
by: van Otterdijk, G. J. E., et al.
Published: (2024)
Reliability Analysis of Complex Systems using Subset Simulations with Hamiltonian Neural Networks
by: Thaler, Denny, et al.
Published: (2024)
by: Thaler, Denny, et al.
Published: (2024)
Learning Stochastic Hamiltonian Systems via Stochastic Generating Function Neural Network
by: Chen, Chen, et al.
Published: (2025)
by: Chen, Chen, et al.
Published: (2025)
Efficient Gradient Estimation for Parameterized Quantum Systems with Lie Algebraic Symmetries
by: Heidari, Mohsen, et al.
Published: (2024)
by: Heidari, Mohsen, et al.
Published: (2024)
LieAugmenter: Equivariant Learning by Discovering Symmetries with Learnable Augmentations
by: Santos-Escriche, Eduardo, et al.
Published: (2025)
by: Santos-Escriche, Eduardo, et al.
Published: (2025)
Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient
by: Dinh, Vu C., et al.
Published: (2024)
by: Dinh, Vu C., et al.
Published: (2024)
Hamiltonian Neural Networks for Robust Out-of-Time Credit Scoring
by: Marín, Javier
Published: (2024)
by: Marín, Javier
Published: (2024)
Similar Items
-
Variational Neural Networks for Observable Thermodynamics (V-NOTS)
by: Eldred, Christopher, et al.
Published: (2025) -
Structure-preserving learning and prediction in optimal control of collective motion
by: Huraka, Sofiia, et al.
Published: (2026) -
Geometric, Variational, and Bracket Descriptions of Fluid Motion with Open Boundaries
by: Eldred, Christopher, et al.
Published: (2024) -
Variational integrators for stochastic Hamiltonian systems on Lie groups: properties and convergence
by: Gay-Balmaz, François, et al.
Published: (2024) -
The Dictator Dilemma: The Distortion of Information Flow in Autocratic Regimes and Its Consequences
by: Putkaradze, Vakhtang
Published: (2023)