53 citations · 149 across the 20 of their papers we have counts for
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cs.LG2022★ 7 cited
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schöne +2
Recurrent neural networks (RNNs) are well suited for solving sequence tasks in resource-constrained systems due to their expressivity and low computational requirements. However, t…
cs.NE2022★ 8 cited
Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to Learn
Alper Yegenoglu, Anand Subramoney, Thorsten Hater +7
Neuroscience models commonly have a high number of degrees of freedom and only specific regions within the parameter space are able to produce dynamics of interest. This makes the…