Lukas Herrmann

1. Quasi-Monte Carlo Bayesian estimation under Besov priors in elliptic inverse problems
   2020/11/30 by Lukas Herrmann, Magdalena Keller, Christoph Schwab · 6 citations
   Mathematics · Decision Sciences · #Mathematical Approximation and Integration #Probabilistic and Robust Engineering Design #Statistical Methods and Inference
2. Neural and spectral operator surrogates: unified construction and expression rate bounds
   2022/07/11 by Lukas Herrmann, Herrmann, Lukas, Christoph Schwab +3 · 3 citations
   Computer Science · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Neural Networks and Applications #Numerical Analysis (math.NA)
3. Quasi--Monte Carlo Integration for Affine-Parametric, Elliptic PDEs: Local Supports and Product Weights
   2018/01/01 by Robert N. Gantner, Lukas Herrmann, Christoph Schwab · 2 citations
   Mathematics · Decision Sciences · #Mathematical Approximation and Integration #Probabilistic and Robust Engineering Design #Mathematical functions and polynomials
4. Deep neural network approximation for high-dimensional parabolic Hamilton-Jacobi-Bellman equations
   2021/03/09 by Philipp Grohs, Lukas Herrmann, Grohs, Philipp +1 · 2 citations
   Physics and Astronomy · Computer Science · Economics, Econometrics and Finance · #Model Reduction and Neural Networks #Reinforcement Learning in Robotics #Stochastic processes and financial applications