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01/30/2023
Quantifying and maximizing the information flux in recurrent neural networks
Free-running Recurrent Neural Networks (RNNs), especially probabilistic ...
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06/04/2022
Classification at the Accuracy Limit – Facing the Problem of Data Ambiguity
Data classification, the process of analyzing data and organizing it int...
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04/28/2020
Spiking Machine Intelligence: What we can learn from biology and how spiking Neural Networks can help to improve Machine Learning
Up to now, modern Machine Learning is based on fitting high dimensional ...
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11/07/2019
Sparsity through evolutionary pruning prevents neuronal networks from overfitting
Modern Machine learning techniques take advantage of the exponentially r...
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11/05/2018
