Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy
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Dive into the research topics where Daniel Müller-Gritschneder is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Automated Graph-level Passes for TinyML Fault Tolerance
Kappes, J., Geier, J., van Kempen, P., Mueller-Gritschneder, D. & Schlichtmann, U., 2025, International Joint Conference on Neural Networks, IJCNN 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the International Joint Conference on Neural Networks).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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DRIP: DRop unImportant data Points - Enhancing Machine Learning Efficiency with Grad-CAM-Based Streaming Data Prioritization for On-Device Training
Rüb, M., Konegen, D., Sikora, A. & Mueller-Gritschneder, D., 2025, International Joint Conference on Neural Networks, IJCNN 2025 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the International Joint Conference on Neural Networks).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation
Körber, N., Kromer, E., Siebert, A., Hauke, S., Mueller-Gritschneder, D. & Schuller, B., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 202-220 19 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15093 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
5 Scopus citations -
Embedding Current Constraints in Reinforcement Learning for Electric Motor Control
Klotz, S., Joglekar, N., Bucksch, T., Goswami, D. & Mueller-Gritschneder, D., 2025, In: Australasian Universities Power Engineering Conference, AUPEC. 2025Research output: Contribution to journal › Conference article › peer-review
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Flar-SVD: Fast and Latency-Aware Singular Value Decomposition for Model Compression
Thoma, M., Villasante, J., Aghajanzadeh, E., Sampath, S. B., Mori, P., Groetzinger, M., Dylkin, D., Vemparala, M. R., Fasfous, N., Frickenstein, A., Mueller-Gritschneder, D. & Schlichtmann, U., 2025, Proceedings - 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025. IEEE Computer Society, p. 1889-1898 10 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review