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Publications associées (21)

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Symplectic Dynamical Low Rank approximation of wave equations with random parameters

Fabio Nobile, Eleonora Musharbash

In this paper we propose a dynamical low-rank strategy for the approximation of second order wave equations with random parameters. The governing equation is rewritten in Hamiltonian form and the approximate solution is expanded over a set of

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dynamica ...

2017

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RMAML: Riemannian meta-learning with orthogonality constraints

Symplectic dynamical low rank approximation of wave equations with random parameters

Emulator Design and Generation of Synthetic Dataset in Multi-Ion Sensing

Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint

Symplectic Dynamical Low Rank approximation of wave equations with random parameters

MATHICSE Technical Report : Symplectic dynamical low rank approximation of wave equations with random parameters

Single cell isolation process with laser induced forward transfer

Gas Sampling Using Convection and Humidity Stabilization to Improve Point Gas Sensor Responses

Embeddings Of Maximal Tori In Orthogonal Groups

Rigidity of equality cases in Steiner’s perimeter inequality

RMAML: Riemannian meta-learning with orthogonality constraints

Single cell isolation process with laser induced forward transfer

Emulator Design and Generation of Synthetic Dataset in Multi-Ion Sensing

Symplectic dynamical low rank approximation of wave equations with random parameters

MATHICSE Technical Report : Symplectic dynamical low rank approximation of wave equations with random parameters

Symplectic Dynamical Low Rank approximation of wave equations with random parameters

Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint

Rigidity of equality cases in Steiner’s perimeter inequality

Embeddings Of Maximal Tori In Orthogonal Groups

Gas Sampling Using Convection and Humidity Stabilization to Improve Point Gas Sensor Responses