Search Results for author: Mikkel Abrahamsen

Found 4 papers, 0 papers with code

Covering Polygons is Even Harder

no code implementations4 Jun 2021 Mikkel Abrahamsen

In the MINIMUM CONVEX COVER (MCC) problem, we are given a simple polygon $\mathcal P$ and an integer $k$, and the question is if there exist $k$ convex polygons whose union is $\mathcal P$.

Open-Ended Question Answering

Training Neural Networks is ER-complete

no code implementations NeurIPS 2021 Mikkel Abrahamsen, Linda Kleist, Tillmann Miltzow

Given a neural network, training data, and a threshold, finding weights for the neural network such that the total error is below the threshold is known to be NP-hard.

Training Neural Networks is $\exists\mathbb R$-complete

no code implementations NeurIPS 2021 Mikkel Abrahamsen, Linda Kleist, Tillmann Miltzow

Given a neural network, training data, and a threshold, it was known that it is NP-hard to find weights for the neural network such that the total error is below the threshold.

How to Cut Corners and Get Bounded Convex Curvature

no code implementations7 Mar 2016 Mikkel Abrahamsen, Mikkel Thorup

A region of points in the plane $Q$ has \emph{bounded convex curvature} if for any point $x\in\partial Q$, there is a unit disk $U$ and $\varepsilon>0$ such that $x\in \partial U$ and all points in $U$ within distance $\varepsilon$ from $x$ are in $Q$.

Computational Geometry

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