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11/30/2020
Towards constraining warm dark matter with stellar streams through neural simulation-based inference
A statistical analysis of the observed perturbations in the density of s...
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09/04/2019
Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning
The subtle and unique imprint of dark matter substructure on extended ar...
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03/10/2019
Likelihood-free MCMC with Approximate Likelihood Ratios
We propose a novel approach for posterior sampling with intractable like...
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02/26/2019
Simulating Data Access Profiles of Computational Jobs in Data Grids
The data access patterns of applications running in computing grids are ...
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05/22/2018
Gradient Energy Matching for Distributed Asynchronous Gradient Descent
Distributed asynchronous SGD has become widely used for deep learning in...
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10/06/2017