Pierre Pudlo

According to our database, Pierre Pudlo authored at least 11 papers between 2011 and 2026.

Collaborative distances:

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

2026

Topological data analysis of human vowels: Persistent homologies across representation spaces.

Guillem Bonafos, Pierre Pudlo, Jean-Marc Freyermuth, Samuel Tronçon, Arnaud Rey

Speech Commun., 2026

2024

Dirichlet process mixture model based on topologically augmented signal representation for clustering infant vocalizations.

Guillem Bonafos, Clara Bourot, Pierre Pudlo, Jean-Marc Freyermuth, Laurence Reboul, Samuel Tronçon, Arnaud Rey

Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

2023

Outlier detection in non-stationary time series applied to sewer network monitoring.

Ali Shakil, Mohammad Ali Khalighi, Pierre Pudlo, Cyril Leclerc, Dominique Laplace, François Hamon, Alexandre Boudonne

Internet Things, April, 2023

Detecting human and non-human vocal productions in large scale audio recordings.

Guillem Bonafos, Pierre Pudlo, Jean-Marc Freyermuth, Thierry Legou, Joël Fagot, Samuel Tronçon, Arnaud Rey

CoRR, 2023

2019

ABC random forests for Bayesian parameter inference.

Louis Raynal, Jean-Michel Marin, Pierre Pudlo, Mathieu Ribatet, Christian P. Robert, Arnaud Estoup

Bioinform., 2019

2016

Reliable ABC model choice via random forests.

Pierre Pudlo, Jean-Michel Marin, Arnaud Estoup, Jean-Marie Cornuet, Mathieu Gautier, Christian P. Robert

Bioinform., 2016

2015

Adaptive ABC model choice and geometric summary statistics for hidden Gibbs random fields.

Julien Stoehr, Pierre Pudlo, Lionel Cucala

Stat. Comput., 2015

2014

DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single nucleotide polymorphism, DNA sequence and microsatellite data.

Jean-Marie Cornuet, Pierre Pudlo, Julien Veyssier, Alexandre Dehne-Garcia, Mathieu Gautier, Raphaël Leblois, Jean-Michel Marin, Arnaud Estoup

Bioinform., 2014

2012

Approximate Bayesian computational methods.

Jean-Michel Marin, Pierre Pudlo, Christian P. Robert, Robin J. Ryder

Stat. Comput., 2012

Optimal parallelization of a sequential approximate Bayesian computation algorithm.

Jean-Michel Marin, Pierre Pudlo, Mohammed Sedki

Proceedings of the Winter Simulation Conference, 2012

2011

Operator Norm Convergence of Spectral Clustering on Level Sets.

Bruno Pelletier, Pierre Pudlo

J. Mach. Learn. Res., 2011