Johannes S. Otterbach
Orcid: 0000-0002-7404-2321
According to our database1,
Johannes S. Otterbach
authored at least 14 papers
between 2018 and 2024.
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Bibliography
2024
Progressive updates of convolutional neural networks for enhanced reliability in small satellite applications.
Comput. Commun., 2024
2023
CoRR, 2023
Interpretable Reinforcement Learning via Neural Additive Models for Inventory Management.
CoRR, 2023
Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Filling the Gap: Fault-Tolerant Updates of On-Satellite Neural Networks Using Vector Quantization.
Proceedings of the IFIP Networking Conference, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Towards Learning Self-Organized Criticality of Rydberg Atoms using Graph Neural Networks.
CoRR, 2022
Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks.
CoRR, 2022
Proceedings of the Pattern Recognition, 2022
2021
CoRR, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
Chameleon: A Semi-AutoML framework targeting quick and scalable development and deployment of production-ready ML systems for SMEs.
Proceedings of the 51. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2021 - Computer Science & Sustainability, Berlin, Germany, 27. September, 2021
2018