Vita Publikationen

The estimation of functional connectivity (FC) from fMRI BOLD signals is limited by the inability of standard correlation measures to resolve weak, non-stationary inter-network dynamics, while classical sampling operators remain confined to fixed, analytically pre-specified kernels that cannot adapt to the heterogeneous temporal signatures of distinct brain regions. To close this gap, this paper introduces the Kolmogorov–Arnold deep sampling networks (KAN-DSN), the first framework to embed learnable Kolmogorov–Arnold Network (KAN) kernels within a provably convergent multilayer Durrmeyer integral-synthesis operator. [...]

This review document summarizes the main outcomes and key theoretical and experimental developments discussed at the workshop "The Semileptonic $B$ Frontier: LHC, $B$-Factories, Lattice QCD & the Hunt for Precision", held at Laboratori Nazionali di Frascati on 16–18 February, https://agenda.infn.it/event/49469/. Bringing together experimentalists and theorists, the meeting addressed recent advances and outstanding challenges in both charged-current ($b \to c/u\,\ellν$) and neutral-current ($b \to s\,\ell^+\ell^-$) semileptonic $b$-hadron decays. [...]

As we move towards the Exascale era, the computational cost of Direct Numerical Simulations (DNS) remains a primary bottleneck for high-fidelity fluid flow analysis. Large Eddy Simulations (LES) provide a more affordable alternative, but they inherently lack sub-grid scale (SGS) details required to precisely describe turbulence [...]