| Unifying Importance Based Regularisation Methods for Continual Learning F Benzing International Conference on Artificial Intelligence and Statistics, 2372-2396, 2022 | 26* | 2022 |
| Optimal kronecker-sum approximation of real time recurrent learning F Benzing, MM Gauy, A Mujika, A Martinsson, A Steger International Conference on Machine Learning, 604-613, 2019 | 25 | 2019 |
| Random initialisations performing above chance and how to find them F Benzing, S Schug, R Meier, J von Oswald, Y Akram, N Zucchet, ... arXiv preprint arXiv:2209.07509, 2022 | 19 | 2022 |
| Presynaptic stochasticity improves energy efficiency and helps alleviate the stability-plasticity dilemma S Schug, F Benzing, A Steger Elife 10, e69884, 2021 | 12 | 2021 |
| Gradient descent on neurons and its link to approximate second-order optimization F Benzing International Conference on Machine Learning, 1817-1853, 2022 | 11 | 2022 |
| Long directed rainbow cycles and rainbow spanning trees F Benzing, A Pokrovskiy, B Sudakov European Journal of Combinatorics 88, 103102, 2020 | 9 | 2020 |
| Towards an Empirically Guided Understanding of the Loss Landscape of Neural Networks F Benzing ETH Zurich, 2022 | | 2022 |
