Results 51 to 60 of about 192 (135)

Improving sampling efficacy on high-dimensional distributions with thin high-density regions using Conservative Hamiltonian Monte Carlo. [PDF]

PNAS Nexus
McGregor G, Wan ATS.
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SPINI: a structure-preserving neural integrator for hamiltonian dynamics and parametric perturbation. [PDF]

Sci Rep
Liang C, Wen X, Zhu Z, Shen L, Wang Y.
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Exponentially fitted multisymplectic scheme for conservative Maxwell equations with oscillary solutions. [PDF]

PLoS One, 2021
Yin X, Liu Y, Zhang J, Shen Y, Yan L.
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Stochastic Conformal Integrators for Linearly Damped Stochastic Poisson Systems. [PDF]

J Sci Comput
Bréhier CE, Cohen D, Komori Y.
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Machine learning and serving of discrete field theories. [PDF]

Sci Rep, 2020
Qin H.
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Leveraging Hamiltonian neural flow for robust single-cell multi-omics integration: application to Alzheimer's disease. [PDF]

Front Genet
Huang Z, Kong W, Wang S.
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Symplectic Bregman Divergences. [PDF]

Entropy (Basel)
Nielsen F.
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Stochastic variational principles for the collisional Vlasov-Maxwell and Vlasov-Poisson equations. [PDF]

Proc Math Phys Eng Sci, 2021
Tyranowski TM.
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An efficient PGD solver for structural dynamics applications. [PDF]

Adv Model Simul Eng Sci
Vella C, Gosselet P, Prudhomme S.
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Unitary Entities Are the True "Atoms". [PDF]

Entropy (Basel)
Jeynes C, Parker MC.
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