Search Results for author: Alexander Mathiasen

Found 6 papers, 2 papers with code

One Reflection Suffice

no code implementations30 Sep 2020 Alexander Mathiasen, Frederik Hvilshøj

Orthogonal weight matrices are used in many areas of deep learning.

Backpropagating through Fréchet Inception Distance

no code implementations29 Sep 2020 Alexander Mathiasen, Frederik Hvilshøj

Using FID as an additional loss for Generative Adversarial Networks improves their FID.

Optimal Minimal Margin Maximization with Boosting

no code implementations30 Jan 2019 Allan Grønlund, Kasper Green Larsen, Alexander Mathiasen

A common goal in a long line of research, is to maximize the smallest margin using as few base hypotheses as possible, culminating with the AdaBoostV algorithm by (R{\"a}tsch and Warmuth [JMLR'04]).

Fast Exact k-Means, k-Medians and Bregman Divergence Clustering in 1D

1 code implementation25 Jan 2017 Allan Grønlund, Kasper Green Larsen, Alexander Mathiasen, Jesper Sindahl Nielsen, Stefan Schneider, Mingzhou Song

We present all the existing work that had been overlooked and compare the various solutions theoretically.

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