most citedComparing AutoML and Deep Learning Methods for Condition Monitoring using Realistic Validation Scenarios

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cs.LG2026

FlashCart: Fast Cartesian Tensor Products for Equivariant Interatomic Potentials

Viktor Zaverkin, Payman Goodarzi, Sergey V. Sukhomlinov +4

Machine-learned interatomic potentials extend atomistic simulations beyond the length- and timescales accessible to electronic-structure methods. However, the computational cost of…

cs.LG2023★ 2 cited

Comparing AutoML and Deep Learning Methods for Condition Monitoring using Realistic Validation Scenarios

Payman Goodarzi, Andreas Schütze, Tizian Schneider

This study extensively compares conventional machine learning methods and deep learning for condition monitoring tasks using an AutoML toolbox. The experiments reveal consistent hi…