1 code implementation • 23 Sep 2022 • Claudia Schillings, Claudia Totzeck, Philipp Wacker
We propose an approach based on function evaluations and Bayesian inference to extract higher-order differential information of objective functions {from a given ensemble of particles}.
no code implementations • 29 Jan 2021 • Simone Göttlich, Claudia Totzeck
We propose a neural network approach to model general interaction dynamics and an adjoint based stochastic gradient descent algorithm to calibrate its parameters.
Optimization and Control
1 code implementation • 31 Jan 2016 • José A. Carrillo, Young-Pil Choi, Claudia Totzeck, Oliver Tse
This work justifies the optimization algorithm in the mean-field sense showing the convergence to the global minimizer for a large class of functions.
Analysis of PDEs