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cs.LG2021
Deep Neural Networks and PIDE discretizations
Bastian Bohn, Michael Griebel, Dinesh Kannan
In this paper, we propose neural networks that tackle the problems of stability and field-of-view of a Convolutional Neural Network (CNN). As an alternative to increasing the netwo…
cs.LG2019
Explainable Machine Learning for Scientific Insights and Discoveries
Ribana Roscher, Bastian Bohn, Marco F. Duarte +1
Machine learning methods have been remarkably successful for a wide range of application areas in the extraction of essential information from data. An exciting and relatively rece…