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SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes


Jun 12, 2021
Sanyam Kapoor, Marc Finzi, Ke Alexander Wang, Andrew Gordon Wilson

* International Conference on Machine Learning (ICML), 2021 

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A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups


Apr 19, 2021
Marc Finzi, Max Welling, Andrew Gordon Wilson

* Library: https://github.com/mfinzi/equivariant-MLP, Documentation: https://emlp.readthedocs.io/en/latest/, Examples: https://colab.research.google.com/github/mfinzi/equivariant-MLP/blob/master/docs/notebooks/colabs/all.ipynb 

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Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints


Oct 26, 2020
Marc Finzi, Ke Alexander Wang, Andrew Gordon Wilson

* NeurIPS 2020. Code available at https://github.com/mfinzi/constrained-hamiltonian-neural-networks 

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Learning Invariances in Neural Networks


Oct 22, 2020
Gregory Benton, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson

* NeurIPS 2020. Code available at https://github.com/g-benton/learning-invariances 

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Probabilistic Numeric Convolutional Neural Networks


Oct 21, 2020
Marc Finzi, Roberto Bondesan, Max Welling


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Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data


Feb 25, 2020
Marc Finzi, Samuel Stanton, Pavel Izmailov, Andrew Gordon Wilson


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Semi-Supervised Learning with Normalizing Flows


Dec 30, 2019
Pavel Izmailov, Polina Kirichenko, Marc Finzi, Andrew Gordon Wilson


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Improving Consistency-Based Semi-Supervised Learning with Weight Averaging


Jun 19, 2018
Ben Athiwaratkun, Marc Finzi, Pavel Izmailov, Andrew Gordon Wilson

* Fixed a typo for the direction of inequality for $C(\alpha)$ in 3.2 

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