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High-dimensional probability density estimation for inference suffers from the "curse of dimensionality".
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Improved effective-one-body model of spinning, nonprecessing binary black holes for the era of gravitational-wave astrophysics with advanced detectors
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Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing
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P. L. Taylor, T. D. Kitching, J. Alsing, B. D. Wandelt, S. M. Feeney, and J. D. McEwen · 2019
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Mining gold from implicit models to improve likelihood-free inference
J. Brehmer, G. Louppe, J. Pavez, and K. Cranmer · 2020
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The frontier of simulation-based inference
K. Cranmer, J. Brehmer, and G. Louppe · 2020
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N. Jeffrey, J. Alsing, and F. Lanusse · 2020
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The sum of the masses of the Milky Way and M31: a likelihood-free inference approach
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Fast likelihood-free cosmology with neural density estimators and active learning
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Mining for dark matter substructure: Inferring subhalo population properties from strong lenses with machine learning
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Deepcmb: Lensing reconstruction of the cosmic microwave background with deep neural networks
J. Caldeira, W. Wu, B. Nord, C. Avestruz, S. Trivedi, and K. Story · 2019
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Sequential neural likelihood: Fast likelihood-free inference with autoregressive flows
G. Papamakarios, D. Sterratt, and I. Murray · 2019
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Denoising weak lensing mass maps with deep learning
M. Shirasaki, N. Yoshida, and S. Ikeda · 2019
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A. Nitz, I. Harry, D. Brown, C. M. Biwer, J. Willis, T. D. Canton, C. Capano, L. Pekowsky, T. Dent, A. R. Williamson, G. S. Davies, S. De, M. Cabero, B. Machenschalk, P. Kumar, S. Reyes, D. Macleod, dfinstad, F. Pannarale, T. Massinger, M. Tápai, L. Singer, S. Kumar, S. Khan, S. Fairhurst, A. Nielsen, SSingh087, shasvath, B. U. V. Gadre, and I. Dorrington · 2020
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