Gaussian beam migration (GBM) is an advanced seismic imaging technique that utilises the propagation characteristics of Gaussian-shaped beams to construct detailed subsurface images. This method ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

We consider a Gaussian multiplicative chaos (GMC) measure on the classical Wiener space driven by a smoothened (Gaussian) space-time white noise. For d ≥ 3, it was shown in (Electron. Commun. Probab.

We obtain Gaussian estimates for the kernels of the semigroups generated by a class of subelliptic operators H acting on Lp(Rk). The class includes anharmonic oscillators and Schrödinger operators ...