Juan Pavez

According to our database, Juan Pavez authored at least 5 papers between 2016 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

Likelihood-free inference with an improved cross-entropy estimator.

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

CoRR, 2018

Mining gold from implicit models to improve likelihood-free inference.

Johann Brehmer, Gilles Louppe, Juan Pavez, Kyle Cranmer

CoRR, 2018

Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module.

Juan Pavez, Héctor Allende, Héctor Allende-Cid

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Neural Networks for the Reconstruction and Separation of High Energy Particles in a Preshower Calorimeter.

Juan Pavez, Hayk Hakobyan, Carlos Valle, William Brooks, Sergey Kuleshov, Héctor Allende

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2016

carl: a likelihood-free inference toolbox.

Gilles Louppe, Kyle Cranmer, Juan Pavez

J. Open Source Softw., 2016