Frederik Benzing

According to our database1, Frederik Benzing authored at least 7 papers between 2019 and 2022.

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Bibliography

2022
Towards an Empirically Guided Understanding of the Loss Landscape of Neural Networks.
PhD thesis, 2022

Random initialisations performing above chance and how to find them.
CoRR, 2022

Gradient Descent on Neurons and its Link to Approximate Second-order Optimization.
Proceedings of the International Conference on Machine Learning, 2022

Unifying Importance Based Regularisation Methods for Continual Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2020
Long directed rainbow cycles and rainbow spanning trees.
Eur. J. Comb., 2020

Understanding Regularisation Methods for Continual Learning.
CoRR, 2020

2019
Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019


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