14 citations · 24 across the 6 of their papers we have counts for
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physics.chem-ph2023★ 1 cited
Graph Neural Network Interatomic Potential Ensembles with Calibrated Aleatoric and Epistemic Uncertainty on Energy and Forces
Jonas Busk, Mikkel N. Schmidt, Ole Winther +2
Inexpensive machine learning potentials are increasingly being used to speed up structural optimization and molecular dynamics simulations of materials by iteratively predicting an…
cs.CV2023★ 1 cited
Dermatological Diagnosis Explainability Benchmark for Convolutional Neural Networks
Raluca Jalaboi, Ole Winther, Alfiia Galimzianova
In recent years, large strides have been taken in developing machine learning methods for dermatological applications, supported in part by the success of deep learning (DL). To da…