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05/21/2023
GeometricImageNet: Extending convolutional neural networks to vector and tensor images
Convolutional neural networks and their ilk have been very successful fo...
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01/31/2023
The passive symmetries of machine learning
Any representation of data involves arbitrary investigator choices. Beca...
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04/02/2022
Dimensionless machine learning: Imposing exact units equivariance
Units equivariance is the exact symmetry that follows from the requireme...
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02/14/2022
Mapping Interstellar Dust with Gaussian Processes
Interstellar dust corrupts nearly every stellar observation, and account...
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10/07/2021
A simple equivariant machine learning method for dynamics based on scalars
Physical systems obey strict symmetry principles. We expect that machine...
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06/11/2021
Scalars are universal: Gauge-equivariant machine learning, structured like classical physics
There has been enormous progress in the last few years in designing conc...
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01/15/2021
Fitting very flexible models: Linear regression with large numbers of parameters
There are many uses for linear fitting; the context here is interpolatio...
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11/23/2020
Dimensionality reduction, regularization, and generalization in overparameterized regressions
Overparameterization in deep learning is powerful: Very large models fit...
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05/28/2020
Data Analysis Recipes: Products of multivariate Gaussians in Bayesian inferences
A product of two Gaussians (or normal distributions) is another Gaussian...
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11/18/2019
emcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC
emcee is a Python library implementing a class of affine-invariant ensem...
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10/31/2017
Hack Weeks as a model for Data Science Education and Collaboration
Across almost all scientific disciplines, the instruments that record ou...
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10/17/2017
Data analysis recipes: Using Markov Chain Monte Carlo
Markov Chain Monte Carlo (MCMC) methods for sampling probability density...
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05/12/2015
Removing systematic errors for exoplanet search via latent causes
We describe a method for removing the effect of confounders in order to ...
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06/05/2014
Towards building a Crowd-Sourced Sky Map
We describe a system that builds a high dynamic-range and wide-angle ima...
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10/21/2008
