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20172023
most citedE(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials

1.9k citations · 3.4k across the 26 of their papers we have counts for

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Showing 2017Show all

2 papers · 1 filter

cs.LG2017★ 52 cited

Convolutional Networks for Spherical Signals

Taco Cohen, Mario Geiger, Jonas Köhler +1

The success of convolutional networks in learning problems involving planar signals such as images is due to their ability to exploit the translation symmetry of the data distribut…

astro-ph.IM2017★ 84 cited

Deep Convolutional Neural Networks as strong gravitational lens detectors

C. Schaefer, M. Geiger, T. Kuntzer +1

Future large-scale surveys with high resolution imaging will provide us with a few new strong galaxy-scale lenses. These strong lensing systems however will be contained in…