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2020 – today
- 2023
[j3]Bojian Yin
, Federico Corradi, Sander M. Bohté:
Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time. Nat. Mac. Intell. 5(5): 518-527 (2023)- [c6]Tao Sun, Bojian Yin, Sander M. Bohté:
Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout. ICANN (1) 2023: 393-406 - [i7]Tao Sun, Bojian Yin, Sander M. Bohté:
Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout. CoRR abs/2304.10191 (2023) - 2022
- [c5]Bojian Yin, Qinghai Guo, Federico Corradi, Sander M. Bohté:
Attentive Decision-making and Dynamic Resetting of Continual Running SRNNs for End-to-End Streaming Keyword Spotting. ICONS 2022: 5:1-5:8 - [c4]Anca-Diana Vicol, Bojian Yin, Sander M. Bohté:
Real-time classification of LIDAR data using discrete-time Recurrent Spiking Neural Networks. IJCNN 2022: 1-9 - 2021
- [j2]Bojian Yin, Federico Corradi, Sander M. Bohté:
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks. Nat. Mach. Intell. 3(10): 905-913 (2021) - [c3]Bojian Yin, H. Steven Scholte, Sander M. Bohté:
LocalNorm: Robust Image Classification Through Dynamically Regularized Normalization. ICANN (4) 2021: 240-252 - [i6]Bojian Yin, Federico Corradi, Sander M. Bohté:
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks. CoRR abs/2103.12593 (2021) - [i5]Bojian Yin, Federico Corradi, Sander M. Bohté:
Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time. CoRR abs/2112.11231 (2021) - [i4]Bojian Yin, Federico Corradi, Sander M. Bohté:
Effective and Efficient Spiking Recurrent Neural Networks. ERCIM News 2021(125) (2021) - 2020
- [c2]Bojian Yin, Federico Corradi, Sander M. Bohté:
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks. ICONS 2020: 1:1-1:8 - [i3]Bojian Yin, Federico Corradi, Sander M. Bohté:
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks. CoRR abs/2005.11633 (2020)
2010 – 2019
- 2019
- [j1]Bojian Yin, Marleen Balvert, Rick A. A. van der Spek, Bas E. Dutilh, Sander M. Bohté, Jan Veldink, Alexander Schönhuth:
Using the structure of genome data in the design of deep neural networks for predicting amyotrophic lateral sclerosis from genotype. Bioinform. 35(14): i538-i547 (2019) - [i2]Bojian Yin, Siebren Schaafsma, Henk Corporaal, H. Steven Scholte, Sander M. Bohté:
LocalNorm: Robust Image Classification through Dynamically Regularized Normalization. CoRR abs/1902.06550 (2019) - 2018
- [c1]Bojian Yin, Marleen Balvert, Davide Zambrano, Alexander Schönhuth, Sander M. Bohté:
An image representation based convolutional network for DNA classification. ICLR (Poster) 2018 - [i1]Bojian Yin, Marleen Balvert, Davide Zambrano, Alexander Schönhuth, Sander M. Bohté:
An image representation based convolutional network for DNA classification. CoRR abs/1806.04931 (2018)
Coauthor Index
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