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T. Lucas Makinen
T. Lucas Makinen
PhD Student, Imperial College
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Cited by
Year
Lossless, scalable implicit likelihood inference for cosmological fields
TL Makinen, T Charnock, J Alsing, BD Wandelt
Journal of Cosmology and Astroparticle Physics 2021 (11), 049, 2021
432021
deep21: a deep learning method for 21 cm foreground removal
TL Makinen, L Lancaster, F Villaescusa-Navarro, P Melchior, S Ho, ...
Journal of Cosmology and Astroparticle Physics 2021 (04), 081, 2021
422021
The cosmic graph: Optimal information extraction from large-scale structure using catalogues
TL Makinen, T Charnock, P Lemos, N Porqueres, A Heavens, BD Wandelt
The Open Journal of Astrophysics 5 (1), 2022
212022
Exoplanet atmosphere evolution: emulation with neural networks
JG Rogers, C Janó Muñoz, JE Owen, TL Makinen
Monthly Notices of the Royal Astronomical Society 519 (4), 6028-6043, 2023
122023
Field-level inference of cosmic shear with intrinsic alignments and baryons
N Porqueres, A Heavens, D Mortlock, G Lavaux, TL Makinen
arXiv preprint arXiv:2304.04785, 2023
22023
Fishnets: Information-optimal, scalable aggregation for sets and graphs
TL Makinen, J Alsing, BD Wandelt
arXiv preprint arXiv:2310.03812, 2023
12023
Searching for time-domain anomalies in high energy catalogs
R Martínez-Galarza, TL Makinen
Observatory Operations: Strategies, Processes, and Systems IX 12186, 135-143, 2022
12022
LtU-ILI: Robust machine learning in astro
M Ho, DJ Bartlett, N Chartier, C Cuesta-Lazaro, S Ding, A Lapel, P Lemos, ...
Astrophysics Source Code Library, ascl: 2403.011, 2024
2024
LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology
M Ho, DJ Bartlett, N Chartier, C Cuesta-Lazaro, S Ding, A Lapel, P Lemos, ...
arXiv preprint arXiv:2402.05137, 2024
2024
Lossless, scalable implicit likelihood inference for cosmological fields (vol 2021, 049, 2021)
TL Makinen, T Charnock, J Alsing, BD Wandelt
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS, 2023
2023
New avenues for multi-messenger discoveries in high energy astrophysics using machine learning
J Martinez Galarza, T Makinen
American Astronomical Society Meeting Abstracts 55 (2), 449.07, 2023
2023
XANDER: X-ray ANomaly DEtectoR
J Martinez Galarza, T Makinen
AAS/High Energy Astrophysics Division 54 (3), 111.25, 2022
2022
Deep Learning for 21cm Tomography
T Makinen, L Lancaster, S Ho, P Melchior
American Astronomical Society Meeting Abstracts# 235 235, 109.05, 2020
2020
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