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Relativity and Gravitation Group

Dr Lucas Makinen

Physics-AI Fellow

Publications

Lossless, scalable implicit likelihood inference for cosmological fields
TL Makinen, T Charnock, J Alsing, BD Wandelt
– Journal of Cosmology and Astroparticle Physics
(2021)
2021,
049
(doi: 10.1088/1475-7516/2021/11/049)
Exoplanet atmosphere evolution: emulation with neural networks
JG Rogers, CJ Muñoz, JE Owen, TL Makinen
(2021)
(link to publication)
Lossless, Scalable Implicit Likelihood Inference for Cosmological Fields
TL Makinen, T Charnock, J Alsing, BD Wandelt
(2021)
(link to publication)
deep21: a deep learning method for 21 cm foreground removal
TL Makinen, L Lancaster, F Villaescusa-Navarro, P Melchior, S Ho, L Perreault-Levasseur, DN Spergel
– Journal of Cosmology and Astroparticle Physics
(2021)
2021,
081
(doi: 10.1088/1475-7516/2021/04/081)
deep21: a Deep Learning Method for 21cm Foreground Removal
TL Makinen, L Lancaster, F Villaescusa-Navarro, P Melchior, S Ho, L Perreault-Levasseur, DN Spergel
(2020)
(link to publication)
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Research Group

Relativity and Gravitation

Email

tlm41@cam.ac.uk

Room

B0.30

Study at Cambridge

About the University

Research at Cambridge