Estimates in deterministic fate modelling of environmental chemicals. - Sebastian Walcher; Joachim Altschuh; Karl-Werner Schramm; Sebastian Mayer (Environ. Model. Softw., 2003)

Calculation of Hilbert Borcherds Products. - Sebastian Mayer (Exp. Math., 2010)

On weighted Hilbert spaces and integration of functions of infinitely many variables. - Michael Gnewuch; Sebastian Mayer; Klaus Ritter 001 (J. Complex., 2014)

Entropy numbers of spheres in Banach and quasi-Banach spaces. - Aicke Hinrichs; Sebastian Mayer (J. Approx. Theory, 2015)

Counting Via Entropy: New Preasymptotics for the Approximation Numbers of Sobolev Embeddings. - Thomas Kühn 002; Sebastian Mayer; Tino Ullrich (SIAM J. Numer. Anal., 2016)

Embedded Subscriber Identity Module eSIM. - Torsten J. Gerpott; Sebastian Mayer (Bus. Inf. Syst. Eng., 2017)

The impact of mobile Internet on mobile voice usage: A two-level analysis of mobile communications customers in a GCC country. - Torsten J. Gerpott; Sebastian Mayer; Gokhan Nas (Inf. Manag., 2017)

Adaptive Production Control in a Modular Assembly System Based on Partial Look-Ahead Scheduling. - Sebastian Mayer; Christian Endisch (ICM, 2019)

Adaptive Production Control in a Modular Assembly System - Towards an Agent-based Approach. - Sebastian Mayer; Nikolas Höhme; Dennis Gankin; Christian Endisch (INDIN, 2019)

Standardized Framework for Evaluating Centralized and Decentralized Control Systems in Modular Assembly Systems. - Sebastian Mayer; Christian Arnet; Dennis Gankin; Christian Endisch (SMC, 2019)

Adaptive Production Control with Negotiating Agents in Modular Assembly Systems. - Sebastian Mayer; Dennis Gankin; Christian Arnet; Christian Endisch (SMC, 2019)

Informed Machine Learning - Towards a Taxonomy of Explicit Integration of Knowledge into Machine Learning. - Laura von Rüden; Sebastian Mayer; Jochen Garcke; Christian Bauckhage; Jannis Schücker (CoRR, 2019)

Combining Machine Learning and Simulation to a Hybrid Modelling Approach: Current and Future Directions. - Laura von Rüden; Sebastian Mayer; Rafet Sifa; Christian Bauckhage; Jochen Garcke (IDA, 2020)

Modular Production Control with Multi-Agent Deep Q-Learning. - Dennis Gankin; Sebastian Mayer; Jonas Zinn; Birgit Vogel-Heuser; Christian Endisch (ETFA, 2021)

Decision Support by Interpretable Machine Learning in Acoustic Emission Based Cutting Tool Wear Prediction. - Arno Schmetz; Christopher Vahl; Zhen Zhen; Daniel Reibert; Sebastian Mayer; Daniel Zontar; Jochen Garcke; Christian Brecher (IEEM, 2021)

The recovery of ridge functions on the hypercube suffers from the curse of dimensionality. - Benjamin Doerr; Sebastian Mayer (J. Complex., 2021)

Modular production control using deep reinforcement learning: proximal policy optimization. - Sebastian Mayer; Tobias Classen; Christian Endisch (J. Intell. Manuf., 2021)

The pole balancing problem from the viewpoint of system flexibility. - Léo Françoso Dal Piccol Sotto; Sebastian Mayer; Jochen Garcke (GECCO Companion, 2022)

The Elements of Flexibility for Task-Performing Systems. - Sebastian Mayer; Léo Françoso Dal Piccol Sotto; Jochen Garcke (IEEE Access, 2023)

Evolutionary Solution Adaption for Multi-Objective Metal Cutting Process Optimization. - Léo Françoso Dal Piccol Sotto; Sebastian Mayer; Hemanth Janarthanam; Alexander Butz; Jochen Garcke (CoRR, 2023)

Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems. - Laura von Rüden; Sebastian Mayer; Katharina Beckh; Bogdan Georgiev; Sven Giesselbach; Raoul Heese; Birgit Kirsch; Julius Pfrommer; Annika Pick; Rajkumar Ramamurthy; Michal Walczak; Jochen Garcke; et al. (IEEE Trans. Knowl. Data Eng., 2023)