23 citations · 24 across the 3 of their papers we have counts for
3 papers
cs.LG2019
SMURFF: a High-Performance Framework for Matrix Factorization
Tom Vander Aa, Imen Chakroun, Thomas J. Ashby +10
Bayesian Matrix Factorization (BMF) is a powerful technique for recommender systems because it produces good results and is relatively robust against overfitting. Yet BMF is more c…
stat.ML2015★ 1 cited
Highly Scalable Tensor Factorization for Prediction of Drug-Protein Interaction Type
Adam Arany, Jaak Simm, Pooya Zakeri +5
The understanding of the type of inhibitory interaction plays an important role in drug design. Therefore, researchers are interested to know whether a drug has competitive or non-…
stat.ML2015★ 23 cited
Macau: Scalable Bayesian Multi-relational Factorization with Side Information using MCMC
Jaak Simm, Adam Arany, Pooya Zakeri +5
We propose Macau, a powerful and flexible Bayesian factorization method for heterogeneous data. Our model can factorize any set of entities and relations that can be represented by…