Nataliya Sokolovska

activity

20172022

most citedDeep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks

6 citations · 7 across the 3 of their papers we have counts for

collaborators

Showing 2020Show all

2 papers · 1 filter

cond-mat.mtrl-sci2020

Supervised deep learning prediction of the formation enthalpy of the full set of configurations in complex phases: the $σ -$ phase as an example

Jean-Claude Crivello, Nataliya Sokolovska, Jean-Marc Joubert

Machine learning (ML) methods are becoming integral to scientific inquiry in numerous disciplines, such as material sciences. In this manuscript, we demonstrate how ML can be used…

cs.LG2020

Latent Instrumental Variables as Priors in Causal Inference based on Independence of Cause and Mechanism

Nataliya Sokolovska, Pierre-Henri Wuillemin

Causal inference methods based on conditional independence construct Markov equivalent graphs, and cannot be applied to bivariate cases. The approaches based on independence of cau…

Supervised deep learning prediction of the formation enthalpy of the full set of configurations in complex phases: the σ−phase as an example

Latent Instrumental Variables as Priors in Causal Inference based on Independence of Cause and Mechanism

Supervised deep learning prediction of the formation enthalpy of the full set of configurations in complex phases: the $σ -$ phase as an example