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Miles Cranmer
132
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Online (132)
Mediatypes
E-Books (2)
Articles (Online) (19)
OpenAccess-fulltext (111)
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1
Symbolic Regression on FPGAs for Fast Machine Learning Infe..:
Tsoi, Ho Fung
;
Pol, Adrian Alan
;
Loncar, Vladimir
...
EPJ Web of Conferences. 295 (2024) - p. 09036 , 2024
Link:
https://doi.org/10.1051/..
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2
AstroCLIP: a cross-modal foundation model for galaxies:
Parker, Liam
;
Lanusse, Francois
;
Golkar, Siavash
...
Monthly Notices of the Royal Astronomical Society. 531 (2024) 4 - p. 4990-5011 , 2024
Link:
https://doi.org/10.1093/..
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3
Rediscovering orbital mechanics with machine learning:
Lemos, Pablo
;
Jeffrey, Niall
;
Cranmer, Miles
..
Machine Learning: Science and Technology. 4 (2023) 4 - p. 045002 , 2023
Link:
https://doi.org/10.1088/..
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4
Workshop Summary: Exoplanet Orbits and Dynamics:
Maire, Anne-Lise
;
Delrez, Laetitia
;
Pozuelos, Francisco J.
...
Publications of the Astronomical Society of the Pacific. 135 (2023) 1052 - p. 106001 , 2023
Link:
https://doi.org/10.1088/..
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5
Hierarchical Inference of the Lensing Convergence from Phot..:
Park, Ji Won
;
Birrer, Simon
;
Ueland, Madison
...
The Astrophysical Journal. 953 (2023) 2 - p. 178 , 2023
Link:
https://doi.org/10.3847/..
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6
The SZ flux-mass (Y–M) relation at low-halo masses: improve..:
Wadekar, Digvijay
;
Thiele, Leander
;
Hill, J Colin
...
Monthly Notices of the Royal Astronomical Society. 522 (2023) 2 - p. 2628-2643 , 2023
Link:
https://doi.org/10.1093/..
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7
Robust simulation-based inference in cosmology with Bayesia..:
Lemos, Pablo
;
Cranmer, Miles
;
Abidi, Muntazir
...
Machine Learning: Science and Technology. 4 (2023) 1 - p. 01LT01 , 2023
Link:
https://doi.org/10.1088/..
?
8
Augmenting astrophysical scaling relations with machine lea..:
Wadekar, Digvijay
;
Thiele, Leander
;
Villaescusa-Navarro, Francisco
...
Proceedings of the National Academy of Sciences. 120 (2023) 12 - p. , 2023
Link:
https://doi.org/10.1073/..
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9
Mangrove: Learning Galaxy Properties from Merger Trees:
Jespersen, Christian Kragh
;
Cranmer, Miles
;
Melchior, Peter
...
The Astrophysical Journal. 941 (2022) 1 - p. 7 , 2022
Link:
https://doi.org/10.3847/..
?
10
GaMPEN: A Machine-learning Framework for Estimating Bayesia..:
Ghosh অরিত্র, Aritra ঘোষ
;
Urry, C. Megan
;
Rau, Amrit
...
The Astrophysical Journal. 935 (2022) 2 - p. 138 , 2022
Link:
https://doi.org/10.3847/..
?
11
Predicting the thermal Sunyaev–Zel'dovich field using modul..:
Thiele, Leander
;
Cranmer, Miles
;
Coulton, William
..
Machine Learning: Science and Technology. 3 (2022) 3 - p. 035002 , 2022
Link:
https://doi.org/10.1088/..
?
12
Stability Constrained Characterization of the 23 Myr Old V1..:
Tejada Arevalo, Roberto
;
Tamayo, Daniel
;
Cranmer, Miles
The Astrophysical Journal Letters. 932 (2022) 1 - p. L12 , 2022
Link:
https://doi.org/10.3847/..
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13
HIFlow: Generating Diverse Hi Maps and Inferring Cosmology ..:
Hassan, Sultan
;
Villaescusa-Navarro, Francisco
;
Wandelt, Benjamin
...
The Astrophysical Journal. 937 (2022) 2 - p. 83 , 2022
Link:
https://doi.org/10.3847/..
?
14
Charting Galactic Accelerations with Stellar Streams and Ma..:
Nibauer, Jacob
;
Belokurov, Vasily
;
Cranmer, Miles
..
The Astrophysical Journal. 940 (2022) 1 - p. 22 , 2022
Link:
https://doi.org/10.3847/..
?
15
A Bayesian neural network predicts the dissolution of compa..:
Cranmer, Miles
;
Tamayo, Daniel
;
Rein, Hanno
...
Proceedings of the National Academy of Sciences. 118 (2021) 40 - p. , 2021
Link:
https://doi.org/10.1073/..
1-15