output
20192026
most citedMachine Learning Force Fields

1.6k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
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2 papers · 1 filter

stat.ML2025

Gradient-Guided Furthest Point Sampling for Robust Training Set Selection

Morris Trestman, Stefan Gugler, Felix A. Faber +1

Training set sampling methods are used to improve model performance and lower data costs in machine learning problems relevant to chemistry. We introduce Gradient Guided Furthest P…

stat.ML2021★ 8 cited

Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization

Léo Andeol, Yusei Kawakami, Yuichiro Wada +3

Domain shifts in the training data are common in practical applications of machine learning; they occur for instance when the data is coming from different sources. Ideally, a ML m…