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Mario Geiger

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Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for Molecule Generation

Nov 27, 2023
Ameya Daigavane, Song Kim, Mario Geiger, Tess Smidt

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Ophiuchus: Scalable Modeling of Protein Structures through Hierarchical Coarse-graining SO(3)-Equivariant Autoencoders

Oct 04, 2023
Allan dos Santos Costa, Ilan Mitnikov, Mario Geiger, Manvitha Ponnapati, Tess Smidt, Joseph Jacobson

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A General Framework for Equivariant Neural Networks on Reductive Lie Groups

May 31, 2023
Ilyes Batatia, Mario Geiger, Jose Munoz, Tess Smidt, Lior Silberman, Christoph Ortner

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An end-to-end SE(3)-equivariant segmentation network

Mar 02, 2023
Ivan Diaz, Mario Geiger, Richard Iain McKinley

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Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning

Jan 31, 2023
Antonio Sclocchi, Mario Geiger, Matthieu Wyart

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e3nn: Euclidean Neural Networks

Jul 18, 2022
Mario Geiger, Tess Smidt

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How memory architecture affects performance and learning in simple POMDPs

Jun 16, 2021
Mario Geiger, Christophe Eloy, Matthieu Wyart

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SE(3)-equivariant prediction of molecular wavefunctions and electronic densities

Jun 04, 2021
Oliver T. Unke, Mihail Bogojeski, Michael Gastegger, Mario Geiger, Tess Smidt, Klaus-Robert Müller

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Relative stability toward diffeomorphisms in deep nets indicates performance

May 06, 2021
Leonardo Petrini, Alessandro Favero, Mario Geiger, Matthieu Wyart

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