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Gerrit Nolte
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2020 – today
- 2023
- [j5]Nils Jansen
, Gerrit Nolte, Bernhard Steffen:
Explanation Paradigms Leveraging Analytic Intuition (ExPLAIn). Int. J. Softw. Tools Technol. Transf. 25(3): 241-247 (2023) - [j4]Alnis Murtovi, Alexander Bainczyk, Gerrit Nolte, Maximilian Schlüter, Bernhard Steffen:
Forest GUMP: a tool for verification and explanation. Int. J. Softw. Tools Technol. Transf. 25(3): 287-299 (2023) - [j3]Maximilian Schlüter, Gerrit Nolte, Alnis Murtovi, Bernhard Steffen:
Towards rigorous understanding of neural networks via semantics-preserving transformations. Int. J. Softw. Tools Technol. Transf. 25(3): 301-327 (2023) - [j2]Gerrit Nolte, Maximilian Schlüter, Alnis Murtovi, Bernhard Steffen:
The power of typed affine decision structures: a case study. Int. J. Softw. Tools Technol. Transf. 25(3): 355-374 (2023) - [c2]Daniel Busch, Gerrit Nolte, Alexander Bainczyk, Bernhard Steffen:
ChatGPT in the Loop: A Natural Language Extension for Domain-Specific Modeling Languages. AISoLA 2023: 375-390 - [i3]Maximilian Schlüter, Gerrit Nolte, Alnis Murtovi, Bernhard Steffen:
Towards Rigorous Understanding of Neural Networks via Semantics-preserving Transformations. CoRR abs/2301.08013 (2023) - [i2]Gerrit Nolte:
A Structural Approach to the Design of Domain Specific Neural Network Architectures. CoRR abs/2301.09381 (2023) - [i1]Gerrit Nolte, Maximilian Schlüter, Alnis Murtovi, Bernhard Steffen:
The Power of Typed Affine Decision Structures: A Case Study. CoRR abs/2304.14888 (2023) - 2022
- [j1]Maximilian Schlüter, Gerrit Nolte:
Introduction to Symbolic Execution of Neural Networks - Towards Faithful and Explainable Surrogate Models. Electron. Commun. Eur. Assoc. Softw. Sci. Technol. 82 (2022) - [c1]Kim G. Larsen
, Axel Legay, Gerrit Nolte, Maximilian Schlüter, Mariëlle Stoelinga
, Bernhard Steffen:
Formal Methods Meet Machine Learning (F3ML). ISoLA (3) 2022: 393-405
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