1 citations · 3 across the 11 of their papers we have counts for
13 papers
Symplectic filtering of Hamiltonian dynamics with moving sensors
Olga Mula, Cecilia Pagliantini, Federico Vismara
While structure-preserving methods for the forward simulation of Hamiltonian systems are well established, the mathematical foundations of their data assimilation and filtering cou…
A Dynamical Approximation Scheme on the Stiefel manifold for Wasserstein Gradient Flows
Isabella Carla Gonnella, Olga Mula, Federico Pichi +1
We propose a meshless Lagrangian dynamical method for approximating Wasserstein gradient flows (WGFs). The evolving measure is represented as the pushforward of the initial measure…
Leveraging Christoffel-Darboux Kernels to Strengthen Moment-SOS Relaxations
Srećko Ðurašinović, Perla Azzi, Jean-Bernard Lasserre +3
The classical Moment-SOS hierarchy allows one to approximate the global minimum of a polynomial optimization problem through semidefinite relaxations of increasing accuracy. For ma…
Towards a Real-Time Simulation of Elastoplastic Deformation Using Multi-Task Neural Networks
Ruben Schmeitz, Joris Remmers, Olga Mula +1
This study introduces a surrogate modeling framework merging proper orthogonal decomposition, long short-term memory networks, and multi-task learning, to accurately predict elasto…
Tree-Based Nonlinear Reduced Modeling
Diane Guignard, Olga Mula
This paper is concerned with model order reduction of parametric Partial Differential Equations (PDEs) using tree-based library approximations. Classical approaches are formulated…
Optimal Transport on the Lie Group of Roto-translations
Daan Bon, Gautam Pai, Gijs Bellaard +2
The roto-translation group SE2 has been of active interest in image analysis due to methods that lift the image data to multi-orientation representations defined on this Lie group.…