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Stephan Eismann

Equivariant Graph Neural Networks for 3D Macromolecular Structure

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Jun 07, 2021
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Protein sequence-to-structure learning: Is this the end(-to-end revolution)?

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May 16, 2021
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ATOM3D: Tasks On Molecules in Three Dimensions

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Dec 07, 2020
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Protein model quality assessment using rotation-equivariant, hierarchical neural networks

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Nov 27, 2020
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Learning from Protein Structure with Geometric Vector Perceptrons

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Sep 03, 2020
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Geometric Prediction: Moving Beyond Scalars

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Jun 25, 2020
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Hierarchical, rotation-equivariant neural networks to predict the structure of protein complexes

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Jun 05, 2020
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Learning Neural PDE Solvers with Convergence Guarantees

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Jun 04, 2019
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Shape optimization in laminar flow with a label-guided variational autoencoder

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Dec 10, 2017
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