WIAS Preprint List: Sommer, David

• 3153: Hagemann, Paul; Schütte, Janina; Sommer, David; Eigel, Martin; Steidl, Gabriele
  Sampling from Boltzmann densities with physics informed low-rank formats
  
• 3078: Sommer, David; Gruhlke, Robert; Kirstein, Max; Eigel, Martin; Schillings, Claudia
  Generative modelling with tensor train approximations of Hamilton--Jacobi--Bellman equations
  
• 3077: Eigel, Martin; Miranda, Charles; Schütte, Janina; Sommer, David
  Approximating Langevin Monte Carlo with ResNet-like neural network architectures
  
• 2987: Eigel, Martin; Gruhlke, Robert; Sommer, David
  Less interaction with forward models in Langevin dynamics
  Appeared in: SIAM J. Appl. Dyn. Syst., 23 (2024), pp. 870--1908, DOI 10.1137/23M1546841 with the new title “Less interaction with forward models in Langevin dynamics: Enrichment and homotopy”.
• 2981: Kirstein, Max; Eigel, Martin; Sommer, David
  Tensor-train kernel learning for Gaussian processes
  Appeared in: Proceedings of the Eleventh Symposium on Conformal and Probabilistic Prediction with Applications, U. Johansson, H. Boström, K.A. Nguyen, Z. Luo, L. Carlsson, eds., vol. 179 of Proceedings of Machine Learning Research, 2022, pp. 253--272.
• 2980: Thiele, Gregor; Johanni, Theresa; Sommer, David; Krüger, Jörg
  Decomposition of a cooling plant for energy efficiency optimization using OptTopo
  Appeared in: Energies, 15 (2022), pp. 8387/1--8387/16, DOI 10.3390/en15228387 .
• 2896: Eigel, Martin; Schneider, Reinhold; Sommer, David
  Dynamical low-rank approximations of solutions to the Hamilton--Jacobi--Bellman equation
  Appeared in: Numer. Linear Algebra Appl., 30 (2023), pp. e2463/1--e2463/20 (published online on 03.08.2022), DOI 10.1002/nla.2463 .
• 2794: Thiele, Gregor; Fey, Arne; Sommer, David; Krüger, Jörg
  System identification of a hysteresis-controlled pump system using SINDy
  Appeared in: 2020 24th International Conference on System Theory, Control and Computing (ICSTCC), IEEE, 2020, pp. 457--464, DOI 10.1109/ICSTCC50638.2020.9259776 .