Structure-Preserving Reduced Basis Methods For Poisson Systems

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Structure-Preserving Reduced Basis Methods For Poisson Systems

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From low-rank retractions to dynamical low-rank approximation and back

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High-order geometric integrators for the variational Gaussian wavepacket dynamics and application to vibronic spectra at finite temperature

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Roughness Evolution Induced by Third-Body Wear

Geometric Learning: Leveraging differential geometry for learning and control

High-order geometric integrators for the variational Gaussian approximation

Adaptive Symplectic Model Order Reduction Of Parametric Particle-Based Vlasov-Poisson Equation

A structured prediction approach for robot imitation learning

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems

Retraction-based numerical methods for continuation, interpolation and time integration on manifolds

Inferring free-energy barriers and kinetic rates from molecular dynamics via underdamped Langevin models

Rank-adaptive structure-preserving model order reduction of Hamiltonian systems

Structure-preserving approaches and data-driven closure modeling for model order reduction

A b-symplectic slice theorem

Generalised Howe duality and injectivity of induction: the symplectic case

Tensor network investigation of the hard-square model