carl: a likelihood-free inference toolbox. - Gilles Louppe; Kyle Cranmer; Juan Pavez (J. Open Source Softw., 2016)

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 (CIARP, 2017)

Working Memory Networks: Augmenting Memory Networks with a Relational Reasoning Module. - Juan Pavez; Héctor Allende; Héctor Allende-Cid (ACL (1), 2018)

Mining gold from implicit models to improve likelihood-free inference. - Johann Brehmer; Gilles Louppe; Juan Pavez; Kyle Cranmer (CoRR, 2018)

Likelihood-free inference with an improved cross-entropy estimator. - Markus Stoye; Johann Brehmer; Gilles Louppe; Juan Pavez; Kyle Cranmer (CoRR, 2018)