FIELD NOTES TOPIC

mlips

2 notes, newest first.

  1. Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials

    Source note ·

    The researchers compare the performance of various matrix-structured optimizers (including Muon, SOAP, and SOAP-Muon) to Adam in training machine learning interatomic potentials (MLIPs). They found that these…

  2. Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials

    Source note ·

    A study compares various matrix-structured optimizers, including SOAP, Muon, and a hybrid of the two, with Adam and its variants for training machine learning interatomic potential (MLIP) models. The new optimizers are…