3 papers
cs.LG2022
TTML: tensor trains for general supervised machine learning
Bart Vandereycken, Rik Voorhaar
This work proposes a novel general-purpose estimator for supervised machine learning (ML) based on tensor trains (TT). The estimator uses TTs to parametrize discretized functions,…
math.RT2019
A computer algorithm for the BGG resolution
Nicolas Hemelsoet, Rik Voorhaar
We present a computer algorithm to explicitly compute the BGG resolution and its cohomology. We give several applications, in particular computation of various sheaf cohomology gro…
math.CT2018
Parallel 2-transport and 2-group torsors
Rik Voorhaar
We provide a new perspective on parallel 2-transport and principal 2-group bundles with 2-connection. We define parallel 2-transport as a 2-functor from the thin fundamental 2-grou…