
Autobahn: Automorphismbased Graph Neural Nets
We introduce Automorphismbased graph neural networks (Autobahn), a new ...
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ATOM3D: Tasks On Molecules in Three Dimensions
Computational methods that operate directly on threedimensional molecul...
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A communitypowered search of machine learning strategy space to find NMR property prediction models
The rise of machine learning (ML) has created an explosion in the potent...
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Lorentz Group Equivariant Neural Network for Particle Physics
We present a neural network architecture that is fully equivariant with ...
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The general theory of permutation equivarant neural networks and higher order graph variational encoders
Previous work on symmetric group equivariant neural networks generally o...
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Asymmetric Multiresolution Matrix Factorization
Multiresolution Matrix Factorization (MMF) was recently introduced as an...
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Deep Learning for Automated Classification and Characterization of Amorphous Materials
It is difficult to quantify structureproperty relationships and to iden...
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Cormorant: Covariant Molecular Neural Networks
We propose Cormorant, a rotationally covariant neural network architectu...
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ClebschGordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
Recent work by Cohen et al. has achieved stateoftheart results for le...
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Nbody Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials
We describe Nbody networks, a neural network architecture for learning ...
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On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
Convolutional neural networks have been extremely successful in the imag...
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Covariant Compositional Networks For Learning Graphs
Most existing neural networks for learning graphs address permutation in...
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Multiresolution Kernel Approximation for Gaussian Process Regression
Gaussian process regression generally does not scale to beyond a few tho...
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The Incremental Multiresolution Matrix Factorization Algorithm
Multiresolution analysis and matrix factorization are foundational tools...
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The Multiscale Laplacian Graph Kernel
Many real world graphs, such as the graphs of molecules, exhibit structu...
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Incorporating Domain Knowledge in Matching Problems via Harmonic Analysis
Matching one set of objects to another is a ubiquitous task in machine l...
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A novel set of rotationally and translationally invariant features for images based on the noncommutative bispectrum
We propose a new set of rotationally and translationally invariant featu...
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Risi Kondor
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