3 papers
stat.ML2026
Measure flow path recovery in Bayes Hilbert spaces
S. David Mis, Maarten V. de Hoop
We study the ill-posed problem of recovering a probability measure flow from finitely many moving localized sensors using a Bayes Hilbert framework. Relative to a fixed reference p…
eess.SP2026
Hybrid operator learning of wave scattering maps in high-contrast media
Advait Balaji, Trevor Teolis, S. David Mis +3
Surrogate modeling of wave propagation and scattering (i.e. the wave speed and source to wave field map) in heterogeneous media has significant potential in applications such as se…
cs.LG2025
Semialgebraic Neural Networks: From roots to representations
S. David Mis, Matti Lassas, Maarten V. de Hoop
Many numerical algorithms in scientific computing -- particularly in areas like numerical linear algebra, PDE simulation, and inverse problems -- produce outputs that can be repres…