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Juan Pavez
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Approximating likelihood ratios with calibrated discriminative classifiers
K Cranmer, J Pavez, G Louppe
arXiv preprint arXiv:1506.02169, 2015
1972015
Constraining effective field theories with machine learning
J Brehmer, K Cranmer, G Louppe, J Pavez
Physical review letters 121 (11), 111801, 2018
1842018
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
1652018
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
1632020
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
462018
Working memory networks: Augmenting memory networks with a relational reasoning module
J Pavez, H Allende, H Allende-Cid
arXiv preprint arXiv:1805.09354, 2018
272018
Effective LHC measurements with matrix elements and machine learning
J Brehmer, K Cranmer, I Espejo, F Kling, G Louppe, J Pavez
Journal of Physics: Conference Series 1525 (1), 012022, 2020
212020
Large scale cathodic exfoliation of graphite using deep eutectic solvent and water mixture
D Vásquez-Sandoval, J Pavez, C Carlesi, A Aracena
Fullerenes, Nanotubes and Carbon Nanostructures 26 (2), 123-129, 2018
142018
Experiments using machine learning to approximate likelihood ratios for mixture models
K Cranmer, J Pavez, G Louppe, WK Brooks
Journal of Physics: Conference Series 762 (1), 012034, 2016
112016
carl: a likelihood-free inference toolbox.
G Louppe, K Cranmer, J Pavez
J. Open Source Softw. 1 (1), 11, 2016
102016
WriteWise: software that guides scientific writing
EN Fuentes, H Allende-Cid, S Rodríguez, R Venegas, J Pavez, W Palma, ...
DE LINGÜÍSTICA COMPUTACIONAL Y DE CORPUS, 332, 2020
12020
Sentence encoders as a method for helping users identify and improve semantic similarity in bio-medical text
B Díaz, J Pávez, S Rodríguez, W Palma, H Allende-Cid, R Venegas, ...
DE LINGÜÍSTICA COMPUTACIONAL Y DE CORPUS, 327, 2020
2020
A deep-learning model for discursive segmentation shows high accuracies for sentences classification in biomedical scientific papers
J Pavez, S Rodríguez, EN Fuentes
DE LINGÜÍSTICA COMPUTACIONAL Y DE CORPUS, 32, 2020
2020
WriteWise: software that guides scientific writing
EF Caro, H Allende-Cid, S Rodríguez, R Venegas, J Pavez, W Palma, ...
Actas III Congreso Internacional de Lingüística Computacional y de Corpus …, 2020
2020
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
Progress in Pattern Recognition, Image Analysis, Computer Vision, and …, 2018
2018
Approximating likelihood ratios with calibrated classifiers
G Louppe, K Cranmer, J Pavez
Second Machine Learning in High Energy Physics Summer School 2016, 2016
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
Working Memory Networks
J Pavez, H Allende, H Allende-Cid
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Articles 1–19