Efficient computation of RPI sets for tube-based robust MPC. - Moritz Schulze Darup; Dieter Teichrib (ECC, 2019)

Tailored neural networks for learning optimal value functions in MPC. - Dieter Teichrib; Moritz Schulze Darup (CDC, 2021)

A deterministic view on explicit data-driven (M)PC. - Manuel Klädtke; Dieter Teichrib; Nils Schlüter; Moritz Schulze Darup (CDC, 2022)

Tailored max-out networks for learning convex PWQ functions. - Dieter Teichrib; Moritz Schulze Darup (ECC, 2022)

Efficient Computation of Lipschitz Constants for MPC with Symmetries. - Dieter Teichrib; Moritz Schulze Darup (CDC, 2023)

Error bounds for maxout neural network approximations of model predictive control. - Dieter Teichrib; Moritz Schulze Darup (CoRR, 2023)

Reachability analysis for piecewise affine systems with neural network-based controllers. - Dieter Teichrib; Moritz Schulze Darup (CDC, 2024)

Piecewise regression via mixed-integer programming for MPC. - Dieter Teichrib; Moritz Schulze Darup (L4DC, 2024)

FHERMA Cookbook: FHE Components for Privacy-Preserving Applications. - Janis Adamek; Aikata Aikata; Ahmad Al Badawi; Andreea Alexandru; Armen Arakelov; Philipp Binfet; Victor Correa; Jules Dumezy; Sergey Gomenyuk; Valentina Kononova; Dmitrii Lekomtsev; Vivian Maloney; et al. (IACR Cryptol. ePrint Arch., 2025)

A mixed-integer framework for analyzing neural network-based controllers for piecewise affine systems with bounded disturbances. - Dieter Teichrib; Moritz Schulze Darup (CoRR, 2025)