379 citations · 853 across the 13 of their papers we have counts for
3 papers · 1 filter
Improving Sample and Feature Selection with Principal Covariates Regression
Rose K. Cersonsky, Benjamin A. Helfrecht, Edgar A. Engel +1
Selecting the most relevant features and samples out of a large set of candidates is a task that occurs very often in the context of automated data analysis, where it can be used t…
Uncertainty estimation for molecular dynamics and sampling
Giulio Imbalzano, Yongbin Zhuang, Venkat Kapil +4
Machine learning models have emerged as a very effective strategy to sidestep time-consuming electronic-structure calculations, enabling accurate simulations of greater size, time…
Extracting ice phases from liquid water: why a machine-learning water model generalizes so well
Bartomeu Monserrat, Jan Gerit Brandenburg, Edgar A. Engel +1
We investigate the structural similarities between liquid water and 53 ices, including 20 knowncrystalline phases. We base such similarity comparison on the local environments that…