
SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes
Stateoftheart methods for scalable Gaussian processes use iterative a...
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A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups
Symmetries and equivariance are fundamental to the generalization of neu...
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Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints
Reasoning about the physical world requires models that are endowed with...
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Learning Invariances in Neural Networks
Invariances to translations have imbued convolutional neural networks wi...
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Probabilistic Numeric Convolutional Neural Networks
Continuous input signals like images and time series that are irregularl...
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Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
The translation equivariance of convolutional layers enables convolution...
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SemiSupervised Learning with Normalizing Flows
Normalizing flows transform a latent distribution through an invertible ...
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Improving ConsistencyBased SemiSupervised Learning with Weight Averaging
Recent advances in deep unsupervised learning have renewed interest in s...
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Marc Finzi
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