Literature Search

17 results

Citation Summary

Most Recent

Detection is truncation: studying source populations with truncated marginal neural ratio estimation

(Nov 8, 2022)

Contribution to:
- ml4ps2022
•
e-Print:
- 2211.04291 [astro-ph.IM]

pdf

reference search14 citations

The effect of the perturber population on subhalo measurements in strong gravitational lenses

et al.

(Sep 20, 2022)

Published in:
- Mon.Not.Roy.Astron.Soc. 527 (2024) 1, 66-78
•
e-Print:
- 2209.09918 [astro-ph.CO]

DOI

reference search19 citations

A portrait of the Higgs boson by the CMS experiment ten years after the discovery.

Collaboration

•

Armen Tumasyan
(
- Tbilisi, Inst. Phys.
)

et al.

(Jun 30, 2022)

Published in:
- Nature 607 (2022) 7917, 60-68,
- Nature 623 (2023) 7985, E4 (erratum)
•
e-Print:
- 2207.00043 [hep-ex]

datasets

reference search661 citations

A detailed map of Higgs boson interactions by the ATLAS experiment ten years after the discovery

ATLAS

Collaboration

•

Georges Aad
(
- Marseille, CPPM
)

et al.

(Jun 30, 2022)

Published in:
- Nature 607 (2022) 7917, 52-59,
- Nature 612 (2022) 7941, E24 (erratum)
•
e-Print:
- 2207.00092 [hep-ex]

linksdatasets

reference search598 citations

Estimating the warm dark matter mass from strong lensing images with truncated marginal neural ratio estimation

Noemi Anau Montel
(
- U. Amsterdam, GRAPPA
)
,
Adam Coogan
(
- U. Amsterdam, GRAPPA and
- Montreal U. and
- U. Montreal (main)
)
,
Camila Correa
(
- U. Amsterdam, GRAPPA
)
,
Konstantin Karchev
(
- U. Amsterdam, GRAPPA and
- SISSA, Trieste
)
,
Christoph Weniger
(
- U. Amsterdam, GRAPPA
)

(May 18, 2022)

Published in:
- Mon.Not.Roy.Astron.Soc. 518 (2022) 2, 2746-2760
•
e-Print:
- 2205.09126 [astro-ph.CO]

DOI

reference search34 citations

On the Dynamics of Inference and Learning

David S. Berman
(
- Queen Mary, U. of London
)
,
Jonathan J. Heckman
(
- Penn State U. and
- Penn State U., Dept. Math.
)
,
Marc Klinger
(
- Illinois U., Urbana
)

(Apr 19, 2022)

e-Print:
- 2204.12939 [cond-mat.dis-nn]

pdf

reference search9 citations

Learning Optimal Test Statistics in the Presence of Nuisance Parameters

Lukas Heinrich

(Mar 24, 2022)

e-Print:
- 2203.13079 [stat.ME]

pdf

reference search6 citations

From Images to Dark Matter: End-to-end Inference of Substructure from Hundreds of Strong Gravitational Lenses

et al.

(Mar 1, 2022)

Published in:
- Astrophys.J. 942 (2023) 2, 75
•
e-Print:
- 2203.00690 [astro-ph.CO]

DOI

reference search48 citations

A Trust Crisis In Simulation-Based Inference? Your Posterior Approximations Can Be Unfaithful

et al.

(Oct 13, 2021)

e-Print:
- 2110.06581 [stat.ML]

pdf

reference search53 citations

Hierarchical Inference with Bayesian Neural Networks: An Application to Strong Gravitational Lensing

#10

LSST Dark Energy Science

Collaboration

•

Sebastian Wagner-Carena

et al.

(Oct 26, 2020)

Published in:
- Astrophys.J. 909 (2021) 2, 187
•
e-Print:
- 2010.13787 [astro-ph.CO]

pdfDOI

reference search49 citations

Array programming with NumPy

#11

Charles R. Harris
(
- Unlisted, US, UT
)
,
K. Jarrod Millman
(
- UC, Berkeley and
- LBL, Berkeley
)
,
Stéfan J. van der Walt
(
- Stellenbosch U. and
- UC, Berkeley
)
,
Ralf Gommers
(
- Texas U.
)
,
Pauli Virtanen
(
- Jyvaskyla U.
)

et al.

(Jun 17, 2020)

Published in:
- Nature 585 (2020) 7825, 357-362
•
e-Print:
- 2006.10256 [cs.MS]

DOI

reference search3,232 citations

The frontier of simulation-based inference

#12

Kyle Cranmer
(
- New York U., CCPP
)
,
Johann Brehmer
(
- New York U., CCPP
)
,
Gilles Louppe
(
- Liege U.
)

(Nov 4, 2019)

Published in:
- Proc.Nat.Acad.Sci. 117 (2020) 48, 30055-30062
•
e-Print:
- 1911.01429 [stat.ML]

pdfDOI

reference search275 citations

Mining for Dark Matter Substructure: Inferring subhalo population properties from strong lenses with machine learning

#13

Johann Brehmer
(
- New York U., CCPP and
- New York U. (main)
)
,
Siddharth Mishra-Sharma
(
- New York U., CCPP
)
,
Joeri Hermans
(
- Liege U.
)
,
Gilles Louppe
(
- Liege U.
)
,
Kyle Cranmer
(
- New York U., CCPP and
- New York U. (main)
)

(Oct 17, 2019)

Published in:
- Astrophys.J. 886 (2019) 1, 49
•
e-Print:
- 1909.02005 [astro-ph.CO]

pdflinksDOI

reference search80 citations

SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python

#14

Pauli Virtanen
(
- Jyvaskyla U.
)
,
Ralf Gommers
(
- Texas U.
)
,
Travis E. Oliphant
(
- Mayo Clinic and
- Brigham Young U. and
- SLAC and
- Texas U.
)
,
Matt Haberland
(
- Cal. Poly. and
- UCLA
)
,
Tyler Reddy
(
- Los Alamos
)

et al.

(Jul 23, 2019)

Published in:
- Nature Meth. 17 (2020) 261
•
e-Print:
- 1907.10121 [cs.MS]

pdflinksDOI

reference search4,588 citations

Approximating Likelihood Ratios with Calibrated Discriminative Classifiers

#15

Kyle Cranmer
(
- New York U.
)
,
Juan Pavez
(
- Santa Maria U., Valparaiso
)
,
Gilles Louppe
(
- New York U.
)

(Jun 6, 2015)

e-Print:
- 1506.02169 [stat.AP]

pdflinks

reference search189 citations

Adam: A Method for Stochastic Optimization

#16

Diederik P. Kingma
(
- Amsterdam U.
)
,
Jimmy Ba
(
- Toronto U.
)

(Dec 22, 2014)

e-Print:
- 1412.6980 [cs.LG]

pdf

reference search3,127 citations

Matplotlib: A 2D Graphics Environment

#17

John D. Hunter
(
- Utah U.
)

(2007)

Published in:
- Comput.Sci.Eng. 9 (2007) 3, 90-95

linksDOI

reference search5,695 citations

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