Statistics for Covariance Operators: Transport, Flows, and Diffusions

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Optimal Inference in Contextual Stochastic Block Models

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The contextual stochastic block model (CSBM) was proposed for unsupervised community detection on attributed graphs where both the graph and the high-dimensional node information correlate with node labels. In the context of machine learning on graphs, the ...

Journal of Machine Learning Research Inc.2024

JAX-COSMO: AN END-TO-END DIFFERENTIABLE AND GPU ACCELERATED COSMOLOGY LIBRARY

Austin Chandler Peel

We present jax-cosmo, a library for automatically differentiable cosmological theory calculations. jax-cosmo uses the JAX library, which has created a new coding ecosystem, especially in probabilistic programming. As well as batch acceleration, just-in-tim ...

Maynooth University2023

Dark Energy Survey Year 3 results: Cosmology with moments of weak lensing mass maps

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We present a cosmological analysis using the second and third moments of the weak lensing mass (convergence) maps from the first three years of data (Y3) data of the Dark Energy Survey. The survey spans an effective area of 4139 square degrees and uses the ...

American Physical Society2022

A splitting method for the numerical simulation of free surface flows with sediment deposition and resuspension

Marco Picasso, Arwa Mrad

We present a numerical model for the simulation of 3D sediment transport in a Newtonian flow with free surfaces. The Navier-Stokes equations are coupled with the transport, deposition, and resuspension of the particle concentrations, and a volume-of-fluid ...

WILEY2022