3 citations · 3 across the 2 of their papers we have counts for
3 papers
Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks
Artyom Nikitin, Andrei Chertkov, Rafael Ballester-Ripoll +2
Collaborative filtering models generally perform better than content-based filtering models and do not require careful feature engineering. However, in the cold-start scenario coll…
Global sensitivity analysis in probabilistic graphical models
Rafael Ballester-Ripoll, Manuele Leonelli
We show how to apply Sobol's method of global sensitivity analysis to measure the influence exerted by a set of nodes' evidence on a quantity of interest expressed by a Bayesian ne…
TTHRESH: Tensor Compression for Multidimensional Visual Data
Rafael Ballester-Ripoll, Peter Lindstrom, Renato Pajarola
Memory and network bandwidth are decisive bottlenecks when handling high-resolution multidimensional data sets in visualization applications, and they increasingly demand suitable…