| Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks B Yin, F Corradi, SM Bohté Nature Machine Intelligence 3 (10), 905-913, 2021 | 169 | 2021 |
| Effective and efficient computation with multiple-timescale spiking recurrent neural networks B Yin, F Corradi, SM Bohté International Conference on Neuromorphic Systems 2020, 1-8, 2020 | 103 | 2020 |
| Using the structure of genome data in the design of deep neural networks for predicting amyotrophic lateral sclerosis from genotype B Yin, M Balvert, RAA van der Spek, BE Dutilh, S Bohte, J Veldink, ... Bioinformatics 35 (14), i538-i547, 2019 | 43 | 2019 |
| An image representation based convolutional network for DNA classification B Yin, M Balvert, D Zambrano, A Schönhuth, S Bohte ICLR 2018-6th International Conference on Learning Representations, 1-17, 2018 | 35 | 2018 |
| Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time B Yin, F Corradi, SM Bohté Nature Machine Intelligence, 1-10, 2023 | 31 | 2023 |
| Attentive decision-making and dynamic resetting of continual running SRNNs for end-to-end streaming keyword spotting B Yin, Q Guo, F Corradi, S Bohte Proceedings of the International Conference on Neuromorphic Systems 2022, 1-8, 2022 | 3 | 2022 |
| LocalNorm: robust image classification through dynamically regularized normalization B Yin, HS Scholte, S Bohté Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021 | 3 | 2021 |
| Real-time classification of LIDAR data using discrete-time Recurrent Spiking Neural Networks AD Vicol, B Yin, SM Bohté 2022 International Joint Conference on Neural Networks (IJCNN), 1-9, 2022 | 2 | 2022 |
| Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout T Sun, B Yin, S Bohté International Conference on Artificial Neural Networks, 393-406, 2023 | 1 | 2023 |
| Efficient and Accurate Spiking Neural Networks B Yin | | 2022 |
Sander BohteCWI Amsterdam在 cwi.nl 的电子邮件经过验证
