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cs.CG2022
Well-Separation and Hyperplane Transversals in High Dimensions
Helena Bergold, Daniel Bertschinger, Nicolas Grelier +2
A family of point sets in dimensions is well-separated if the convex hulls of any two disjoint subfamilies can be separated by a hyperplane. Well-separation is a strong ass…
cs.CC2022★ 7 cited
Training Fully Connected Neural Networks is -Complete
Daniel Bertschinger, Christoph Hertrich, Paul Jungeblut +2
We consider the problem of finding weights and biases for a two-layer fully connected neural network to fit a given set of data points as well as possible, also known as EmpiricalR…