1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Generative Learning of Continuous Data by Tensor Networks
Alex Meiburg, Jing Chen, Jacob Miller +3
Beyond their origin in modeling many-body quantum systems, tensor networks have emerged as a promising class of models for solving machine learning problems, notably in unsupervise…
stat.ML2021★ 1 cited
Simplified Kalman filter for online rating: one-fits-all approach
Leszek Szczecinski, Raphaëlle Tihon
In this work, we deal with the problem of rating in sports, where the skills of the players/teams are inferred from the observed outcomes of the games. Our focus is on the online r…