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20182021
most citedDeeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms

84 citations · 216 across the 7 of their papers we have counts for

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Showing 2021Show all

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astro-ph.CO2021★ 18 cited

DeepSZ: Identification of Sunyaev-Zel'dovich Galaxy Clusters using Deep Learning

Zhen Lin, Nicholas Huang, Camille Avestruz +4

Galaxy clusters identified from the Sunyaev Zel'dovich (SZ) effect are a key ingredient in multi-wavelength cluster-based cosmology. We present a comparison between two methods of…

quant-ph2021

Machine learning of high dimensional data on a noisy quantum processor

Evan Peters, João Caldeira, Alan Ho +6

We present a quantum kernel method for high-dimensional data analysis using Google's universal quantum processor, Sycamore. This method is successfully applied to the cosmological…