受强制性开放获取政策约束的文章 - Valentin Duruisseaux了解详情
可在其他位置公开访问的文章：9 篇
Adaptive Hamiltonian variational integrators and applications to symplectic accelerated optimization
V Duruisseaux, J Schmitt, M Leok
SIAM Journal on Scientific Computing 43 (4), A2949-A2980, 2021
强制性开放获取政策： US National Science Foundation, US Department of Defense
A variational formulation of accelerated optimization on Riemannian manifolds
V Duruisseaux, M Leok
SIAM Journal on Mathematics of Data Science 4 (2), 649-674, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
Accelerated optimization on Riemannian manifolds via discrete constrained variational integrators
V Duruisseaux, M Leok
Journal of Nonlinear Science 32 (4), 42, 2022
强制性开放获取政策： US National Science Foundation, US Department of Defense
Lie group forced variational integrator networks for learning and control of robot systems
V Duruisseaux, TP Duong, M Leok, N Atanasov
Learning for Dynamics and Control Conference, 731-744, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense
Approximation of nearly-periodic symplectic maps via structure-preserving neural networks
V Duruisseaux, JW Burby, Q Tang
Scientific reports 13 (1), 8351, 2023
强制性开放获取政策： US Department of Energy
Practical perspectives on symplectic accelerated optimization
V Duruisseaux, M Leok
Optimization Methods and Software 38 (6), 1230-1268, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense
Simplifying momentum-based positive-definite submanifold optimization with applications to deep learning
W Lin, V Duruisseaux, M Leok, F Nielsen, ME Khan, M Schmidt
International Conference on Machine Learning, 21026-21050, 2023
强制性开放获取政策： US National Science Foundation, US Department of Defense, Natural Sciences …
Bistability, bifurcations and chaos in the Mackey-Glass equation
V Duruisseaux, AR Humphries
Journal of Computational Dynamics 9 (3), 421-450, 2022
强制性开放获取政策： US National Science Foundation, Fonds de recherche du Québec - Santé …
Code Demonstration: Approximation of nearly-periodic symplectic maps via structure-preserving neural networks
VN Duruisseaux, JW Burby, Q Tang
Los Alamos National Laboratory (LANL), Los Alamos, NM (United States …, 2023
强制性开放获取政策： US Department of Energy
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