22 citations · 24 across the 6 of their papers we have counts for
3 papers · 1 filter
Identifying the nonlinear string dynamics with port-Hamiltonian neural networks
Maximino Linares, Guillaume Doras, Thomas Hélie
Hybrid machine learning combines physical knowledge with data-driven models to enhance interpretability and performance. In this context, Port-Hamiltonian Systems (PHS), which gene…
Controlled oscillation modeling using port-Hamiltonian neural networks
Maximino Linares, Guillaume Doras, Thomas Hélie
Learning dynamical systems through purely data-driven methods is challenging as they do not learn the underlying conservation laws that enable them to correctly generalize. Existin…
A Prototypical Triplet Loss for Cover Detection
Guillaume Doras, Geoffroy Peeters
Automatic cover detection -- the task of finding in a audio dataset all covers of a query track -- has long been a challenging theoretical problem in MIR community. It also became…