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Erscheinungsdatum	Titel	Beteiligte Person(en)
2023-11-02	Improved uncertainty quantification for neural networks with Bayesian last layer	Fiedler, Felix; Lucia, Sergio
2023-10-20	Probabilistic multi-step identification with implicit state estimation for stochastic MPC	Fiedler, Felix; Lucia, Sergio
2023	Synthesis of aspartic proteases probes and their application for interaction identification and binding hotspots mapping	Sickmann, Albert; Chen, Suyuan; Kaiser, Markus
2022-05-20	Cell‐free protein synthesis for the screening of novel azoreductases and their preferred electron donor	Rolf, Jascha; Ngo, Anna Christina Reyes; Lütz, Stephan; Tischler, Dirk; Rosenthal, Katrin
2022-09-29	Agar plate-based screening approach for the identification of enzyme-catalyzed oxidations	Kinner, Alina; Lütz, Stephan; Rosenthal, Katrin
2022-11-23	Comparative life cycle assessment of chemical and biocatalytic 2’3’-cyclic GMP-AMP synthesis	Becker, Martin; Ziemińska-Stolarska, Aleksandra; Markowska, Dorota; Lütz, Stephan; Rosenthal, Katrin
2023	Efficient approximations of model predictive control laws via deep learning	Lucia, Sergio; Karg, Benjamin; Mesbah, Ali
2021-07-22	Probabilistic performance validation of deep learning-based robust NMPC controllers	Karg, Benjamin; Alamo, Teodoro; Lucia, Sergio