F. Richert, MSc

Faculteit Science and Engineering

Telefoon:

050 36 33939

E-mail:

f.richert rug.nl

ORCID Research Portal

Publicaties

Phase transition analysis for shallow neural networks with arbitrary activation functions

Citton, O., Richert, F. & Biehl, M., 15-feb.-2025, In: Physica A: Statistical Mechanics and its Applications. 660, 13 blz., 130356.

Onderzoeksoutput › › peer review

The Role of the Learning Rate in Layered Neural Networks with ReLU Activation Function

Cistolo Citton, O., Richert, F. & Biehl, M., apr.-2025, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning: 33rd ESANN 2025. Verleysen, M. (uitgave). Ciaco - i6doc.com, blz. 437-442 6 blz.

Onderzoeksoutput › › peer review

On-line Learning Dynamics in Layered Neural Networks with Arbitrary Activation Functions

Cistolo Citton, O., Richert, F. & Biehl, M., 9-okt.-2024, ESANN 2024 proceedings: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen, M. (uitgave). blz. 437-442 6 blz.

Onderzoeksoutput › › peer review

Layered Neural Networks with GELU Activation, a Statistical Mechanics Analysis

Richert, F., Straat, M., Oostwal, E. & Biehl, M., 2023, Proceedings ESANN 2023: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Verleysen, M. (uitgave). i6doc.com publication, blz. 435-440 6 blz.

Onderzoeksoutput › › peer review

Soft mode in the dynamics of over-realizable online learning for soft committee machines

Richert, F., Worschech, R. & Rosenow, B., 17-mei-2022, In: Physical Review E. 105, 6 blz., L052302.

Onderzoeksoutput › › peer review

Alle (5) publicaties

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