9 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.AI2023★ 9 cited
Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero
Lisa Schut, Nenad Tomasev, Tom McGrath +3
Artificial Intelligence (AI) systems have made remarkable progress, attaining super-human performance across various domains. This presents us with an opportunity to further human…
stat.ML2016
The Bayesian Low-Rank Determinantal Point Process Mixture Model
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
Determinantal point processes (DPPs) are an elegant model for encoding probabilities over subsets, such as shopping baskets, of a ground set, such as an item catalog. They are usef…
stat.ML2014★ 2 cited
Scalable Bayesian Modelling of Paired Symbols
Ulrich Paquet, Noam Koenigstein, Ole Winther
We present a novel, scalable and Bayesian approach to modelling the occurrence of pairs of symbols (i,j) drawn from a large vocabulary. Observed pairs are assumed to be generated b…