58 citations · 68 across the 9 of their papers we have counts for
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Exploring Multi-view Symbolic Regression methods in physical sciences
Etienne Russeil, Fabrício Olivetti de França, Konstantin Malanchev +2
Describing the world behavior through mathematical functions help scientists to achieve a better understanding of the inner mechanisms of different phenomena. Traditionally, this i…
Signatures to help interpretability of anomalies
Emmanuel Gangler, Emille E. O. Ishida, Matwey V. Kornilov +8
Machine learning is often viewed as a black box when it comes to understanding its output, be it a decision or a score. Automatic anomaly detection is no exception to this rule, an…
Multi-View Symbolic Regression
Etienne Russeil, Fabrício Olivetti de França, Konstantin Malanchev +6
Symbolic regression (SR) searches for analytical expressions representing the relationship between a set of explanatory and response variables. Current SR methods assume a single d…