Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning. - Frederik Benzing; Marcelo Matheus Gauy; Asier Mujika; Anders Martinsson; Angelika Steger (ICML, 2019)

Understanding Regularisation Methods for Continual Learning. - Frederik Benzing (CoRR, 2020)

Long directed rainbow cycles and rainbow spanning trees. - Frederik Benzing; Alexey Pokrovskiy; Benny Sudakov (Eur. J. Comb., 2020)

Unifying Importance Based Regularisation Methods for Continual Learning. - Frederik Benzing (AISTATS, 2022)

Gradient Descent on Neurons and its Link to Approximate Second-order Optimization. - Frederik Benzing (ICML, 2022)

Random initialisations performing above chance and how to find them. - Frederik Benzing; Simon Schug; Robert Meier; Johannes von Oswald; Yassir Akram; Nicolas Zucchet; Laurence Aitchison; Angelika Steger (CoRR, 2022)

Towards an Empirically Guided Understanding of the Loss Landscape of Neural Networks. - Frederik Benzing (2022)

Beyond Pairwise Correlations: Higher-Order Redundancies in Self-Supervised Representation Learning. - David Zollikofer; Béni Egressy; Frederik Benzing; Matthias Otth; Roger Wattenhofer (CoRR, 2024)