| Approximating likelihood ratios with calibrated discriminative classifiers K Cranmer, J Pavez, G Louppe arXiv preprint arXiv:1506.02169, 2015 | 43 | 2015 |
| Constraining effective field theories with machine learning J Brehmer, K Cranmer, G Louppe, J Pavez Physical review letters 121 (11), 111801, 2018 | 41 | 2018 |
| 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 | 37 | 2018 |
| Mining gold from implicit models to improve likelihood-free inference J Brehmer, G Louppe, J Pavez, K Cranmer arXiv preprint arXiv:1805.12244, 2018 | 22 | 2018 |
| Working memory networks: Augmenting memory networks with a relational reasoning module J Pavez, H Allende, H Allende-Cid arXiv preprint arXiv:1805.09354, 2018 | 8 | 2018 |
| 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 | 7 | 2018 |
| 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 | 7 | 2016 |
| 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 | 4 | 2019 |
| Generalized matter couplings in general relativity CG Böhmer, S Carloni Physical Review D 98 (2), 024054, 2018 | 1 | 2018 |
| carl: a likelihood-free inference toolbox G Louppe, J Pavez, K Cranmer J. Open Source Softw., 2016 | 1 | 2016 |
| 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 |
| New search J Brehmer, G Louppe, J Pavez | | |
| Working Memory Networks J Pavez, H Allende, H Allende-Cid | | |
