M. Köppel

activity

20192024

most citedFair Interpretable Representation Learning with Correction Vectors

5 citations · 5 across the 5 of their papers we have counts for

collaborators

Showing 2019Show all

2 papers · 1 filter

cs.IR2019

Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance

Marius Köppel, Alexander Segner, Martin Wagener +3

We present a pairwise learning to rank approach based on a neural net, called DirectRanker, that generalizes the RankNet architecture. We show mathematically that our model is refl…

physics.ins-det2019

Performance of the large scale HV-CMOS pixel sensor MuPix8

H. Augustin, N. Berger, C. Blattgerste +26

The Mu3e experiment is searching for the charged lepton flavour violating decay $μ^{+} \to e^{+} e^{-} e^{+}$ , aiming for an ultimate sensitivity of one in $1 0^{16}$ decays. In an…