4 citations · 5 across the 5 of their papers we have counts for
5 papers
Streaming Tensor Train Approximation
Daniel Kressner, Bart Vandereycken, Rik Voorhaar
Tensor trains are a versatile tool to compress and work with high-dimensional data and functions. In this work we introduce the Streaming Tensor Train Approximation (STTA), a new c…
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,…
On certain Hochschild cohomology groups for the small quantum group
Nicolas Hemelsoet, Rik Voorhaar
We apply the sheaf cohomology BGG method developed by the authors and Lachowska-Qi to the computation of Hochschild cohomology groups of various blocks of the small quantum group.…
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…
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…