Using Neural Networks to improve classical Operating System Fingerprinting techniques - Carlos Sarraute; Javier Burroni (CoRR, 2010)

Outrepasser les limites des techniques classiques de Prise d'Empreintes grace aux Reseaux de Neurones - Javier Burroni; Carlos Sarraute (CoRR, 2010)

A study of age and gender seen through mobile phone usage patterns in Mexico. - Carlos Sarraute; Pablo Blanc; Javier Burroni (ASONAM, 2014)

Harnessing Mobile Phone Social Network Topology to Infer Users Demographic Attributes. - Jorge Brea; Javier Burroni; Martin Minnoni; Carlos Sarraute (SNAKDD, 2014)

Inference of demographic attributes based on mobile phone usage patterns and social network topology. - Carlos Sarraute; Jorge Brea; Javier Burroni; Pablo Blanc (Soc. Netw. Anal. Min., 2015)

Garbage collection and efficiency in dynamic metacircular runtimes: an experience report. - Javier Pimás; Javier Burroni; Jean-Baptiste Arnaud; Stefan Marr (DLS, 2017)

The Act of Computer Programming in Science. - Javier Burroni (Programming, 2017)

Social Events in a Time-Varying Mobile Phone Graph. - Carlos Sarraute; Jorge Brea; Javier Burroni; Klaus Wehmuth; Artur Ziviani; J. Ignacio Alvarez-Hamelin (CoRR, 2017)

Inference of Users Demographic Attributes based on Homophily in Communication Networks. - Jorge Brea; Javier Burroni; Carlos Sarraute (CoRR, 2018)

Extending Stan for Deep Probabilistic Programming. - Javier Burroni; Guillaume Baudart; Louis Mandel; Martin Hirzel; Avraham Shinnar (CoRR, 2018)

Predicate Exchange: Inference with Declarative Knowledge. - Zenna Tavares; Javier Burroni; Edgar Minasyan; Armando Solar-Lezama; Rajesh Ranganath (ICML, 2019)

Object Conditioning for Causal Inference. - David D. Jensen; Javier Burroni; Matthew J. Rattigan (UAI, 2019)

Soft Constraints for Inference with Declarative Knowledge. - Zenna Tavares; Javier Burroni; Edgar Minaysan; Armando Solar-Lezama; Rajesh Ranganath (CoRR, 2019)

The Random Conditional Distribution for Higher-Order Probabilistic Inference. - Zenna Tavares; Xin Zhang 035; Edgar Minaysan; Javier Burroni; Rajesh Ranganath; Armando Solar-Lezama (CoRR, 2019)

Compiling Stan to generative probabilistic languages and extension to deep probabilistic programming. - Guillaume Baudart; Javier Burroni; Martin Hirzel; Louis Mandel; Avraham Shinnar (PLDI, 2021)

Min/max stability and box distributions. - Michael Boratko; Javier Burroni; Shib Sankar Dasgupta; Andrew McCallum (UAI, 2021)

Automatically marginalized MCMC in probabilistic programming. - Jinlin Lai; Javier Burroni; Hui Guan 001; Daniel Sheldon (ICML, 2023)

Sample Average Approximation for Black-Box VI. - Javier Burroni; Justin Domke; Daniel Sheldon (CoRR, 2023)

U-Statistics for Importance-Weighted Variational Inference. - Javier Burroni; Kenta Takatsu; Justin Domke; Daniel Sheldon (Trans. Mach. Learn. Res., 2023)

Sample Average Approximation for Black-Box Variational Inference. - Javier Burroni; Justin Domke; Daniel Sheldon (UAI, 2024)