Projects per year
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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NauROM: Nautic Robotics Occupation Maps
Hirländer, S. (Principal Investigator) & Borgelt, C. (Co-Investigator)
1/10/24 → 31/03/25
Project: Research
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AI4GREEN: AI4GREEN: Data Science for Sustainability
Borgelt, C. (Principal Investigator)
1/05/24 → 30/04/27
Project: Research
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IDA Lab III-1: Intelligent Data Analytics Lab III
Trutschnig, W. (Principal Investigator), Bathke, A. (Co-Investigator), Borgelt, C. (Co-Investigator) & Kwitt, R. (Co-Investigator)
1/03/23 → 28/02/28
Project: Research
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IDA Lab III-2: Intelligent Data Analytics Lab III-2
Trutschnig, W. (Principal Investigator), Bathke, A. (Co-Investigator), Borgelt, C. (Co-Investigator) & Kwitt, R. (Co-Investigator)
1/03/23 → 28/02/28
Project: Research
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LLMs für Unternehmen: Large-Language-Modelle (LLMs) für Unternehmen
Hirländer, S. (Principal Investigator), Borgelt, C. (Co-Investigator) & Baron, S. (Co-Investigator)
1/05/24 → 31/07/24
Project: Research
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Generalisability of sleep stage classification based on interbeat intervals: validating three machine learning approaches on self-recorded test data
Kranzinger, S., Baron, S., Kranzinger, C., Heib, D. & Borgelt, C., Jan 2024, In: Behaviormetrika. 51, p. 341–358 18 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Deep Differentiable Logic Gate Networks
Petersen, F., Borgelt, C., Kühne, H. & Deussen, O., 28 Nov 2022, Proceedings of the 36th Conference on Neural Information Processing Systems (NeurIPS 2022).Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review
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Differentiable Top-k Classification Learning
Petersen, F., Kühne, H., Borgelt, C. & Deussen, O., 17 Jul 2022, Proceedings of the 39th International Conference on Machine Learning (ICML 2022). Proceedings of Machine Learning Research (PMLR), Vol. PMLR 162. p. 17656 17668 p.Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review
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GenDR: A Generalized Differentiable Renderer
Petersen, F., Goldlücke, B., Borgelt, C. & Deussen, O., 19 Jun 2022, Proc. 2022 Conference on Computer Vision and Pattern Recognition (CVPR 2022). p. 4002 4011 p.Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review
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Monotonic Differentiable Sorting Networks
Petersen, F., Borgelt, C., Kühne, H. & Deussen, O., 25 Apr 2022, Proc 10th International Conference on Learning Representations (ICLR 2022).Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review