no code implementations • NeurIPS 2021 • Oliver T. Unke, Mihail Bogojeski, Michael Gastegger, Mario Geiger, Tess Smidt, Klaus-Robert Müller
Machine learning has enabled the prediction of quantum chemical properties with high accuracy and efficiency, allowing to bypass computationally costly ab initio calculations.
1 code implementation • 8 Sep 2020 • Sasho Nedelkoski, Mihail Bogojeski, Odej Kao
Through several experiments, we demonstrate that the model improves on state-of-the-art multimodal methods based on variational inference on various computer vision tasks such as colorization, edge and mask detection, and weakly supervised learning.
no code implementations • 5 Feb 2020 • Mihail Bogojeski, Simeon Sauer, Franziska Horn, Klaus-Robert Müller
Accurately predicting industrial aging processes makes it possible to schedule maintenance events further in advance, ensuring a cost-efficient and reliable operation of the plant.