activity
20122026
most citedScikit-learn: Machine Learning in Python

63.6k citations · 68k across the 67 of their papers we have counts for

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Showing astro-ph.IMShow all

6 papers · 1 filter

astro-ph.IM2022★ 1 cited

A simulator-based autoencoder for focal plane wavefront sensing

Maxime Quesnel, Gilles Orban de Xivry, Olivier Absil +1

Instrumental aberrations strongly limit high-contrast imaging of exoplanets, especially when they produce quasistatic speckles in the science images. With the help of recent advanc…

astro-ph.IM2022★ 14 cited

A deep learning approach for focal-plane wavefront sensing using vortex phase diversity

M. Quesnel, G. Orban de Xivry, G. Louppe +1

The performance of high-contrast imaging instruments is limited by wavefront errors, in particular by non-common path aberrations (NCPAs). Focal-plane wavefront sensing (FPWFS) is…

astro-ph.IM2021★ 33 cited

Focal Plane Wavefront Sensing using Machine Learning: Performance of Convolutional Neural Networks compared to Fundamental Limits

G. Orban de Xivry, M. Quesnel, P. -O. Vanberg +2

Focal plane wavefront sensing (FPWFS) is appealing for several reasons. Notably, it offers high sensitivity and does not suffer from non-common path aberrations (NCPA). The price t…

astro-ph.IM2020★ 1 cited

Improving the RSM map exoplanet detection algorithm: PSF forward modelling and optimal selection of PSF subtraction techniques

Carl-Henrik Dahlqvist, Olivier Absil

High-contrast imaging (HCI) is one of the most challenging techniques for exoplanet detection. It relies on sophisticated data processing to reach high contrasts at small angular s…

astro-ph.IM2020★ 2 cited

Simulation-efficient marginal posterior estimation with swyft: stop wasting your precious time

Benjamin Kurt Miller, Alex Cole, Gilles Louppe +1

We present algorithms (a) for nested neural likelihood-to-evidence ratio estimation, and (b) for simulation reuse via an inhomogeneous Poisson point process cache of parameters and…

astro-ph.IM2020★ 22 cited

Lightning-Fast Gravitational Wave Parameter Inference through Neural Amortization

Arnaud Delaunoy, Antoine Wehenkel, Tanja Hinderer +4

Gravitational waves from compact binaries measured by the LIGO and Virgo detectors are routinely analyzed using Markov Chain Monte Carlo sampling algorithms. Because the evaluation…