| Fast-slow recurrent neural networks A Mujika, F Meier, A Steger Advances in Neural Information Processing Systems 30, 2017 | 88 | 2017 |
| Approximating real-time recurrent learning with random kronecker factors A Mujika, F Meier, A Steger Advances in Neural Information Processing Systems 31, 2018 | 65 | 2018 |
| 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 |
| Improving gradient estimation in evolutionary strategies with past descent directions F Meier, A Mujika, MM Gauy, A Steger arXiv preprint arXiv:1910.05268, 2019 | 17 | 2019 |
| Multi-task learning with deep model based reinforcement learning A Mujika arXiv preprint arXiv:1611.01457, 2016 | 13 | 2016 |
| The linear hidden subset problem for the (1+ 1) EA with scheduled and adaptive mutation rates H Einarsson, J Lengler, MM Gauy, F Meier, A Mujika, A Steger, ... Proceedings of the Genetic and Evolutionary Computation Conference, 1491-1498, 2018 | 11 | 2018 |
| Online learning of long-range dependencies N Zucchet, R Meier, S Schug, A Mujika, J Sacramento Advances in Neural Information Processing Systems 36, 10477-10493, 2023 | 6 | 2023 |
| Open-ended reinforcement learning with neural reward functions R Meier, A Mujika Advances in Neural Information Processing Systems 35, 2465-2479, 2022 | 5 | 2022 |
| On the origin of lognormal network synchrony in CA1 F Weissenberger, H Einarsson, M Matheus Gauy, F Meier, A Mujika, ... Hippocampus 28 (11), 824-837, 2018 | 3 | 2018 |
| Hierarchical Attention Encoder Decoder A Mujika https://as.inf.ethz.ch/people/members/asierm/haed.pdf, 2023 | 1 | 2023 |
| Decoupling hierarchical recurrent neural networks with locally computable losses A Mujika, F Weissenberger, A Steger arXiv preprint arXiv:1910.05245, 2019 | 1 | 2019 |
| Improving Evolutionary Strategies With Past Descent Directions F Meier, A Mujika, MM Gauy, A Steger | | |
