F. Richert, MSc

Faculty of Science and Engineering

Telephone:

+31 50 36 33939

E-mail:

f.richert rug.nl

ORCID Research Portal

Publications

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 p., 130356.

Research output: Contribution to journal › Article › Academic › 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. (ed.). Ciaco - i6doc.com, p. 437-442 6 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › 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. (ed.). i6doc.com publication, p. 435-440 6 p.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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

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

Research output: Contribution to journal › Article › Academic › peer-review

All (5) publications

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