E-LIB Suche - Ergebnisse für: Makinen, T. Lucas

1

LtU-ILI: An All-in-One Framework for Implicit Inference in ..:

Ho, Matthew ; Bartlett, Deaglan J. ; Chartier, Nicolas...
The Open Journal of Astrophysics. 7 (2024) - p. , 2024

2

Erratum: Lossless, scalable implicit likelihood inference f..:

Makinen, T. Lucas ; Charnock, Tom ; Alsing, Justin.
Journal of Cosmology and Astroparticle Physics. 2023 (2023) 4 - p. E02 , 2023

Link: https://doi.org/10.1088/..

3

Exoplanet atmosphere evolution: emulation with neural netwo..:

Rogers, James G ; Janó Muñoz, Clàudia ; Owen, James E.
Monthly Notices of the Royal Astronomical Society. 519 (2023) 4 - p. 6028-6043 , 2023

Link: https://doi.org/10.1093/..

4

deep21: a deep learning method for 21 cm foreground removal:

Makinen, T. Lucas ; Lancaster, Lachlan ; Villaescusa-Navarro, Francisco...
Journal of Cosmology and Astroparticle Physics. 2021 (2021) 4 - p. 081 , 2021

Link: https://doi.org/10.1088/..

5

Lossless, scalable implicit likelihood inference for cosmol..:

Makinen, T. Lucas ; Charnock, Tom ; Alsing, Justin.
Journal of Cosmology and Astroparticle Physics. 2021 (2021) 11 - p. 049 , 2021

Link: https://doi.org/10.1088/..

6

Field-level inference of cosmic shear with intrinsic alignm..:

Porqueres, Natalia ; Heavens, Alan ; Mortlock, Daniel..
http://arxiv.org/abs/2304.04785. , 2023

Link: http://arxiv.org/abs/230..

7

Fishnets: Information-Optimal, Scalable Aggregation for Set..:

Makinen, T. Lucas ; Alsing, Justin ; Wandelt, Benjamin D
http://arxiv.org/abs/2310.03812. , 2023

Link: http://arxiv.org/abs/231..

8

The Cosmic Graph: Optimal Information Extraction from Large..:

Makinen, T. Lucas ; Charnock, Tom ; Lemos, Pablo...
http://arxiv.org/abs/2207.05202. , 2022

Link: http://arxiv.org/abs/220..

9

Lossless, Scalable Implicit Likelihood Inference for Cosmol..:

Makinen, T. Lucas ; Charnock, Tom ; Alsing, Justin.
http://arxiv.org/abs/2107.07405. , 2021

Link: http://arxiv.org/abs/210..

10

Exoplanet atmosphere evolution: emulation with neural netwo..:

Rogers, James G ; Muñoz, Clàudia Janó ; Owen, James E.
http://arxiv.org/abs/2110.15162. , 2021

Link: http://arxiv.org/abs/211..

11

deep21 tutorial data:

Makinen, T. Lucas
doi:10.5281/zenodo.4131091. , 2020

Link: https://zenodo.org/recor..

12

deep21 tutorial data:

Makinen, T. Lucas
doi:10.5281/zenodo.4131091. , 2020

Link: https://zenodo.org/recor..

13

deep21: a Deep Learning Method for 21cm Foreground Removal:

Makinen, T. Lucas ; Lancaster, Lachlan ; Villaescusa-Navarro, Francisco...
http://arxiv.org/abs/2010.15843. , 2020

Link: http://arxiv.org/abs/201..

14

The Cosmic Graph: Optimal Information Extraction from Large..:

T Lucas Makinen ; Tom Charnock ; Pablo Lemos...
https://astro.theoj.org/article/57787-the-cosmic-graph-optimal-information-extraction-from-large-scale-structure-using-catalogues. , 2022

Link: https://doi.org/10.21105..

15

Water production activity of nine long-period comets from S..:

Combi, M.R. ; Mäkinen, T.T. ; Bertaux, J.-L....
Icarus. 300 (2018) - p. 33-46 , 2018

Link: https://doi.org/10.1016/..