Juan Pavez
Title
Cited by
Cited by
Year
Constraining effective field theories with machine learning
J Brehmer, K Cranmer, G Louppe, J Pavez
Physical review letters 121 (11), 111801, 2018
592018
Approximating likelihood ratios with calibrated discriminative classifiers
K Cranmer, J Pavez, G Louppe
arXiv preprint arXiv:1506.02169, 2015
572015
A guide to constraining effective field theories with machine learning
J Brehmer, K Cranmer, G Louppe, J Pavez
Physical Review D 98 (5), 052004, 2018
532018
Mining gold from implicit models to improve likelihood-free inference
J Brehmer, G Louppe, J Pavez, K Cranmer
Proceedings of the National Academy of Sciences 117 (10), 5242-5249, 2020
312020
Likelihood-free inference with an improved cross-entropy estimator
M Stoye, J Brehmer, G Louppe, J Pavez, K Cranmer
arXiv preprint arXiv:1808.00973, 2018
112018
Working memory networks: Augmenting memory networks with a relational reasoning module
J Pavez, H Allende, H Allende-Cid
arXiv preprint arXiv:1805.09354, 2018
102018
Experiments using machine learning to approximate likelihood ratios for mixture models
K Cranmer, J Pavez, G Louppe, WK Brooks
Journal of Physics Conference Series, 2016
72016
Effective LHC measurements with matrix elements and machine learning
J Brehmer, K Cranmer, I Espejo, F Kling, G Louppe, J Pavez
arXiv preprint arXiv:1906.01578, 2019
62019
carl: a likelihood-free inference toolbox
G Louppe, K Cranmer, J Pavez
Journal of Open Source Software 1 (1), 11, 2016
32016
Generalized matter couplings in general relativity
CG Böhmer, S Carloni
Physical Review D 98 (2), 024054, 2018
12018
Constraining Effective Field Theories with Machine Learning
J Pavez, K Cranmer, J Brehmer, G Louppe
Physical Review Letters 121 (arXiv: 1805.00013), 2018
2018
Neural Networks for the Reconstruction and Separation of High Energy Particles in a Preshower Calorimeter
J Pavez, H Hakobyan, C Valle, W Brooks, S Kuleshov, H Allende
Iberoamerican Congress on Pattern Recognition, 491-498, 2017
2017
Approximating likelihood ratios with calibrated classifiers
G Louppe, K Cranmer, J Pavez
2016
Revealing the collaborative dynamics of a large-scale arXiv text collection by means of k-shell decomposition
J VERA, W PALMA, H ALLENDE, S RODRIGUEZ, J PAVEZ, E FUENTES
New search
J Brehmer, G Louppe, J Pavez
Working Memory Networks
J Pavez, H Allende, H Allende-Cid
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