12 citations · 17 across the 15 of their papers we have counts for
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stat.ME2021★ 12 cited
Robust learning of data anomalies with analytically-solvable entropic outlier sparsification
Illia Horenko
Entropic Outlier Sparsification (EOS) is proposed as a robust computational strategy for the detection of data anomalies in a broad class of learning methods, including the unsuper…
stat.ME2021
On Computationally-Scalable Spatio-Temporal Regression Clustering of Precipitation Threshold Excesses
Olga Kaiser, Dimitri Igdalov, Olivia Martius +1
Focusing on regression based analysis of extremes in a presence of systematically missing covariates, this work presents a data-driven spatio-temporal regression based clustering o…