Bremen Big Data Challenge 2017: Predicting University Cafeteria Load. - Jochen Weiner; Lorenz Diener; Simon Stelter; Eike Externest; Sebastian Kühl; Christian Herff; Felix Putze; Timo Schulze; Mazen Salous; Hui Liu 035; Dennis Küster; Tanja Schultz (KI, 2017)

Solving Graph Optimization Problems in a Framework for Monte-Carlo Search. - Stefan Edelkamp; Eike Externest; Sebastian Kühl; Sabine Kuske (SOCS, 2017)

Neural Networks based Equalization of Experimental Transmission using the Nonlinear Fourier Transformation. - Jonas Koch; Ken Chan; Sebastian Kühl; Christian G. Schaeffer; Stephan Pachnicke (ECOC, 2020)

A Reinforcement Learning Framework for Parameter Optimization in Elastic Optical Networks. - Rebekka Weixer; Sebastian Kühl; Rui Manuel Morais; Bernhard Spinnler; Wolfgang Schairer; Bernd Sommerkorn-Krombholz; Stephan Pachnicke (ECOC, 2020)

Exact component parameter agnostic QoT estimation using spectral data-driven LSTM in optical networks. - Lars E. Kruse; Sebastian Kühl; Stephan Pachnicke (OFC, 2022)

Transfer Learning for Handover Prediction in 5G Maritime Vehicular Networks. - Alexandr Langolf; Sebastian Kühl; Stephan Pachnicke (ISWCS, 2023)

Comparison of Passive Photonic Reservoir Computing Architectures for Signal Equalization of Future Generation Intra-DCN and Mobile Fronthaul Systems. - Sebastian Kühl; Lars E. Kruse; Stephan Pachnicke (ICTON, 2024)

Ring-Cascaded Sequential Micro-Ring Resonators Array as a Photonic Reservoir for Signal Equalization in Intra-Data Center Networks. - Mohammad Seifi Laleh; Sebastian Kühl; Silas Oettinghaus; Annika Dochhan; Stephan Pachnicke (ICTON, 2024)

Monitoring Data Augmentation of Spectral Information using VAE and GAN for Soft-Failure Identification. - Lars E. Kruse; Sebastian Kühl; Annika Dochhan; Stephan Pachnicke (OFC, 2024)

Experimental investigation of machine-learning-based soft-failure management using the optical spectrum. - Lars E. Kruse; Sebastian Kühl; Annika Dochhan; Stephan Pachnicke (J. Opt. Commun. Netw., 2024)