2 citations · 2 across the 1 of their papers we have counts for
3 papers
The Deep Parametric PDE Method: Application to Option Pricing
Kathrin Glau, Linus Wunderlich
We propose the deep parametric PDE method to solve high-dimensional parametric partial differential equations. A single neural network approximates the solution of a whole family o…
Forecasting the Olympic medal distribution during a pandemic: a socio-economic machine learning model
Christoph Schlembach, Sascha L. Schmidt, Dominik Schreyer +1
Forecasting the number of Olympic medals for each nation is highly relevant for different stakeholders: Ex ante, sports betting companies can determine the odds while sponsors and…
Isogeometric shape optimization for nonlinear ultrasound focusing
Markus Muhr, Vanja Nikolić, Barbara Wohlmuth +1
The goal of this work is to improve focusing of high-intensity ultrasound by modifying the geometry of acoustic lenses through shape optimization. The shape optimization problem is…