Image de couverture de livre

Adaptive higher order reversible integrators for memory efficient deep learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Maslovskaya, Sofya, Ober-Blöbaum, Sina, Offen, Christian, Singh, Pranav, Wembe, Boris
Format:	Preprint
Publié:	2024
Sujets:	Numerical Analysis
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Commutator-free Cayley methods
par: Maslovskaya, Sofya, et autres
Publié: (2024)

Symplectic Methods in Deep Learning
par: Maslovskaya, Sofya, et autres
Publié: (2024)

Non static exponential turnpike property for optimal control problems with symmetries and boundary conditions
par: Maslovskaya, Sofya, et autres
Publié: (2026)

Learning of discrete models of variational PDEs from data
par: Offen, Christian, et autres
Publié: (2023)

Cayley Commutator-free Methods for Krotov-Type Algorithms in Quantum Optimal Control
par: Wembe, Boris, et autres
Publié: (2026)

Trim turnpikes for optimal control problems with symmetries
par: Flaßkamp, Kathrin, et autres
Publié: (2024)

Fractional variational integrators based on convolution quadrature
par: Hariz, Khaled, et autres
Publié: (2024)

On Runge-Kutta convolution quadrature based fractional variational integrators
par: Hariz, Khaled, et autres
Publié: (2025)

Variational multirate integrators
par: Ober-Blöbaum, Sina, et autres
Publié: (2024)

Numerical approaches to entangling dynamics from variational principles
par: Offen, Christian, et autres
Publié: (2026)

A new Lagrangian approach to optimal control of second-order systems
par: Konopik, Michael, et autres
Publié: (2025)

Second order optimality conditions in a new Lagrangian formulation for optimal control problems
par: Konopik, Michael, et autres
Publié: (2025)

Variational integrators for a new Lagrangian approach to control affine systems with a quadratic Lagrange term
par: Konopik, Michael, et autres
Publié: (2025)

Machine learning of continuous and discrete variational ODEs with convergence guarantee and uncertainty quantification
par: Offen, Christian
Publié: (2024)

Leveraging higher-order time integration methods for improved computational efficiency in a rainshaft model
par: Dong, Justin, et autres
Publié: (2026)

Scalable higher-order nonlinear solvers via higher-order automatic differentiation
par: Tan, Songchen, et autres
Publié: (2025)

Machine learning of discrete field theories with guaranteed convergence and uncertainty quantification
par: Offen, Christian
Publié: (2024)

Second‐Order Optimality Conditions in a New Lagrangian Formulation for Optimal Control Problems
par: Michael Konopik, et autres
Publié: (2026)

A higher-order three-scale computational method for efficient nonlinear thermo-mechanical coupling simulation of heterogeneous structures with multiple spatial scales
par: Dong, Hao, et autres
Publié: (2025)

A higher order sparse grid combination technique
par: Muñoz-Echániz, Julia, et autres
Publié: (2026)

Phase transitions and minimal interfaces on manifolds with conical singularities
par: Grieser, Daniel, et autres
Publié: (2024)

On the convergence of higher order finite element methods for nonlinear magnetostatics
par: Egger, Herbert, et autres
Publié: (2024)

Enriched higher-order multiscale approaches with applications to wave propagation
par: Kalyanaraman, Balaje, et autres
Publié: (2026)

An efficient and memory free algorithm for subdiffusion equation using incremental singular value decomposition
par: Li, Jichun, et autres
Publié: (2022)

Symmetric integrators based on continuous-stage Runge-Kutta-Nystrom methods for reversible systems
par: Tang, Wensheng, et autres
Publié: (2019)

Families of efficient low order processed composition methods
par: Blanes, Sergio, et autres
Publié: (2024)

Solving multiscale dynamical systems by deep learning
par: Yao, Junjie, et autres
Publié: (2024)

A new Lagrangian approach to control affine systems with a quadratic Lagrange term
par: Leyendecker, Sigrid, et autres
Publié: (2023)

An O(N) distributed-memory parallel direct solver for planar integral equations
par: Liang, Tianyu, et autres
Publié: (2023)

A higher-order dual cell method for time-domain Maxwell equations
par: Codecasa, Lorenzo, et autres
Publié: (2026)

An unfitted divergence-free higher order finite element method for the Stokes problem
par: Neilan, Michael, et autres
Publié: (2025)

Reflectionless discrete perfectly matched layers for higher-order finite difference schemes
par: Hojas, Vicente A., et autres
Publié: (2023)

A direct PinT algorithm for higher-order nonlinear time-evolution equations
par: Zhong, Shun-Zhi, et autres
Publié: (2025)

Modified least squares method and a review of its applications in machine learning and fractional differential/integral equations
par: Singh, Abhishek Kumar, et autres
Publié: (2024)

An efficient third-order WENO scheme with unconditionally optimal accuracy
par: Baeza, Antonio, et autres
Publié: (2024)

Improving the stability and efficiency of high-order operator-splitting methods
par: Wei, Siqi, et autres
Publié: (2025)

Preserving Lagrangian structure in data-driven reduced-order modeling of large-scale dynamical systems
par: Sharma, Harsh, et autres
Publié: (2022)

A posteriori error analysis of hybrid higher order methods for the elliptic obstacle problem
par: Porwal, Kamana, et autres
Publié: (2024)

On the accuracy and efficiency of reduced order models: towards real-world applications
par: Siena, Pierfrancesco, et autres
Publié: (2024)

An extrapolation-driven network architecture for physics-informed deep learning
par: Wang, Yong, et autres
Publié: (2024)