2 citations · 2 across the 2 of their papers we have counts for
3 papers
stat.ML2019
Bayesian Nonparametric Boolean Factor Models
Tammo Rukat, Christopher Yau
We build upon probabilistic models for Boolean Matrix and Boolean Tensor factorisation that have recently been shown to solve these problems with unprecedented accuracy and to enab…
stat.ML2017★ 2 cited
An interpretable latent variable model for attribute applicability in the Amazon catalogue
Tammo Rukat, Dustin Lange, Cédric Archambeau
Learning attribute applicability of products in the Amazon catalog (e.g., predicting that a shoe should have a value for size, but not for battery-type at scale is a challenge. The…
q-bio.NC2016
Resting state brain networks from EEG: Hidden Markov states vs. classical microstates
Tammo Rukat, Adam Baker, Andrew Quinn +1
Functional brain networks exhibit dynamics on the sub-second temporal scale and are often assumed to embody the physiological substrate of cognitive processes. Here we analyse the…