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1

Machine learning and the physical sciences

Carleo, Giuseppe, Cirac, Ignacio, Cranmer, Kyle, Daudet, Laurent, Schuld, Maria, Tishby, Naftali, Vogt-Maranto, Leslie, Zdeborová, Lenka

Journal:

Review of Modern Physics

Year:

2019

File:

PDF, 2.07 MB

2019

2

Better Higgs boson measurements through information geometry

Brehmer, Johann, Cranmer, Kyle, Kling, Felix, Plehn, Tilman

Journal:

Physical Review D

Year:

2017

Language:

english

File:

PDF, 2.11 MB

english, 2017

3

Analysis Preservation in ATLAS

Cranmer, Kyle, Heinrich, Lukas, Jones, Roger, South, David M.

Journal:

Journal of Physics Conference Series

Year:

2015

Language:

english

File:

PDF, 910 KB

english, 2015

4

Parameterized neural networks for high-energy physics

Baldi, Pierre, Cranmer, Kyle, Faucett, Taylor, Sadowski, Peter, Whiteson, Daniel

Journal:

The European Physical Journal C

Year:

2016

Language:

english

File:

PDF, 1.33 MB

english, 2016

5

Deep Learning and Its Application to LHC Physics

Guest, Dan, Cranmer, Kyle, Whiteson, Daniel

Journal:

Annual Review of Nuclear and Particle Science

Year:

2018

Language:

english

File:

PDF, 404 KB

english, 2018

6

Improving inference with matrix elements and machine learning

Brehmer, Johann, Cranmer, Kyle, Kling, F.

Journal:

International Journal of Modern Physics A

Year:

2020

File:

PDF, 245 KB

2020

7

Software for statistical data analysis used in Higgs searches

Gumpert, Christian, Moneta, Lorenzo, Cranmer, Kyle, Kreiss, Sven, Verkerke, Wouter

Journal:

Journal of Physics Conference Series

Year:

2014

Language:

english

File:

PDF, 417 KB

english, 2014

8

QCD-aware recursive neural networks for jet physics

Louppe, Gilles, Cho, Kyunghyun, Becot, Cyril, Cranmer, Kyle

Journal:

Journal of High Energy Physics

Year:

2019

Language:

english

File:

PDF, 455 KB

english, 2019

9

Challenges of profile likelihood evaluation in multi-dimensional SUSY scans

Farhan Feroz, Kyle Cranmer, Mike Hobson, Roberto Ruiz de Austri, Roberto Trotta

Journal:

Journal of High Energy Physics

Year:

2011

Language:

english

File:

PDF, 1.28 MB

english, 2011

10

The frontier of simulation-based inference

Cranmer, Kyle, Brehmer, Johann, Louppe, Gilles

Journal:

Proceedings of the National Academy of Sciences

Year:

2020

File:

PDF, 1010 KB

2020

11

[IEEE 2018 IEEE 14th International Conference on e-Science (e-Science) - Amsterdam (2018.10.29-2018.11.1)] 2018 IEEE 14th International Conference on e-Science (e-Science) - Search for Computational Workflow Synergies in Reproducible Research Data Analyses in Particle Physics and Life Sciences

Simko, Tibor, Cranmer, Kyle, Crusoe, Michael R., Heinrich, Lukas, Khodak, Anton, Kousidis, Dinos, Rodriguez, Diego

Year:

2018

File:

PDF, 5 KB

2018

12

PhysicsGP: A Genetic Programming approach to event selection

Kyle Cranmer, R. Sean Bowman

Journal:

Computer Physics Communications

Year:

2005

Language:

english

File:

PDF, 313 KB

english, 2005

13

Yadage and Packtivity – analysis preservation using parametrized workflows

Cranmer, Kyle, Heinrich, Lukas

Journal:

Journal of Physics Conference Series

Year:

2017

Language:

english

File:

PDF, 584 KB

english, 2017

14

Mining for Dark Matter Substructure: Inferring Subhalo Population Properties from Strong Lenses with Machine Learning

Brehmer, Johann, Mishra-Sharma, Siddharth, Hermans, Joeri, Louppe, Gilles, Cranmer, Kyle

Journal:

The Astrophysical Journal

Year:

2019

Language:

english

File:

PDF, 1.19 MB

english, 2019

15

A guide to constraining effective field theories with machine learning

Brehmer, Johann, Cranmer, Kyle, Louppe, Gilles, Pavez, Juan

Journal:

Physical Review D

Year:

2018

Language:

english

File:

PDF, 2.96 MB

english, 2018

16

Equivariant Flow-Based Sampling for Lattice Gauge Theory

Kanwar, Gurtej, Albergo, Michael S., Boyda, Denis, Cranmer, Kyle, Hackett, Daniel C., RacaniÃ¨re, SÃ©bastien, Rezende, Danilo Jimenez, Shanahan, Phiala E.

Journal:

Physical Review Letters

Year:

2020

File:

PDF, 529 KB

2020

17

A coverage study of the CMSSM based on ATLAS sensitivity using fast neural networks techniques

Michael Bridges, Kyle Cranmer, Farhan Feroz, Mike Hobson, Roberto Ruiz de Austri, Roberto Trotta

Journal:

Journal of High Energy Physics

Year:

2011

Language:

english

File:

PDF, 7.17 MB

english, 2011

18

Asymptotic formulae for likelihood-based tests of new physics

Glen Cowan, Kyle Cranmer, Eilam Gross, Ofer Vitells

Journal:

The European Physical Journal C

Year:

2011

Language:

english

File:

PDF, 861 KB

english, 2011

19

Decoupling theoretical uncertainties from measurements of the Higgs boson

Cranmer, Kyle, Kreiss, Sven, López-Val, David, Plehn, Tilman

Journal:

Physical Review D

Year:

2015

Language:

english

File:

PDF, 15.63 MB

english, 2015

20

Natural priors, CMSSM fits and LHC weather forecasts

Allanach, Benjamin C, Cranmer, Kyle, Lester, Christopher G, Weber, Arne M

Journal:

Journal of High Energy Physics

Year:

2007

Language:

english

File:

PDF, 1.13 MB

english, 2007

21

Mining gold from implicit models to improve likelihood-free inference

Brehmer, Johann, Louppe, Gilles, Pavez, Juan, Cranmer, Kyle

Journal:

Proceedings of the National Academy of Sciences

Year:

2020

Language:

english

File:

PDF, 876 KB

english, 2020

22

Kernel estimation in high-energy physics

Journal:

Computer Physics Communications

Year:

2001

Language:

english

File:

PDF, 133 KB

english, 2001

23

RECAST — extending the impact of existing analyses

Kyle Cranmer, Itay Yavin

Journal:

Journal of High Energy Physics

Year:

2011

Language:

english

File:

PDF, 636 KB

english, 2011

24

Elucidating the effect of enzymatic polymerized polysaccharide particle morphology on emulsion properties

Kedzior, Stephanie A., Cranmer-Smith, Sierra, Behabtu, Natnael, Kim, Kyle, Lenges, Christian, Bryant, Steven L., Trifkovic, Milana

Journal:

Carbohydrate Polymers

Year:

2021

File:

PDF, 5.79 MB

2021

25

Constraining Effective Field Theories with Machine Learning

Brehmer, Johann, Cranmer, Kyle, Louppe, Gilles, Pavez, Juan

Journal:

Physical Review Letters

Year:

2018

Language:

english

File:

PDF, 337 KB

english, 2018

26

Searching for ultra-high energy cosmic rays with smartphones

Whiteson, Daniel, Mulhearn, Michael, Shimmin, Chase, Cranmer, Kyle, Brodie, Kyle, Burns, Dustin

Journal:

Astroparticle Physics

Year:

2016

Language:

english

File:

PDF, 910 KB

english, 2016

27

Ten Simple Rules for the Care and Feeding of Scientific Data

Goodman, Alyssa, Pepe, Alberto, Blocker, Alexander W., Borgman, Christine L., Cranmer, Kyle, Crosas, Merce, Di Stefano, Rosanne, Gil, Yolanda, Groth, Paul, Hedstrom, Margaret, Hogg, David W., Kashyap,

Journal:

PLoS Computational Biology

Year:

2014

Language:

english

File:

PDF, 6.60 MB

english, 2014

28

MadMiner: Machine Learning-Based Inference for Particle Physics

Brehmer, Johann, Kling, Felix, Espejo, Irina, Cranmer, Kyle

Journal:

Computing and Software for Big Science

Year:

2020

Language:

english

File:

PDF, 3.25 MB

english, 2020

29

Erratum to: Asymptotic formulae for likelihood-based tests of new physics

Glen Cowan, Kyle Cranmer, Eilam Gross, Ofer Vitells

Journal:

The European Physical Journal C

Year:

2013

Language:

english

File:

PDF, 107 KB

english, 2013

30

Analysis Preservation and Systematic Reinterpretation within the ATLAS experiment

Cranmer, Kyle, Heinrich, Lukas

Journal:

Journal of Physics Conference Series

Year:

2018

Language:

english

File:

PDF, 1.57 MB

english, 2018

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