Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Pudlo, Pierre"'
Autor:
Bonafos, Guillem, Bourot, Clara, Pudlo, Pierre, Freyermuth, Jean-Marc, Reboul, Laurence, Tronçon, Samuel, Rey, Arnaud
Based on audio recordings made once a month during the first 12 months of a child's life, we propose a new method for clustering this set of vocalizations. We use a topologically augmented representation of the vocalizations, employing two persistenc
Externí odkaz:
http://arxiv.org/abs/2407.05760
Autor:
Chaaya, Marie-Jose, Chauvet, Sophie, Hubert, Florence, Mann, Fanny, Mezache, Mathieu, Pudlo, Pierre
The pancreatic innervation undergoes dynamic remodeling during the development of pancreatic ductal adenocarcinoma (PDAC). Denervation experiments have shown that different types of axons can exert either pro- or anti-tumor effects, but conflicting r
Externí odkaz:
http://arxiv.org/abs/2404.02539
Topological Data Analysis (TDA) has been successfully used for various tasks in signal/image processing, from visualization to supervised/unsupervised classification. Often, topological characteristics are obtained from persistent homology theory. Th
Externí odkaz:
http://arxiv.org/abs/2310.06508
Autor:
Bonafos, Guillem, Pudlo, Pierre, Freyermuth, Jean-Marc, Legou, Thierry, Fagot, Joël, Tronçon, Samuel, Rey, Arnaud
We propose an automatic data processing pipeline to extract vocal productions from large-scale natural audio recordings and classify these vocal productions. The pipeline is based on a deep neural network and adresses both issues simultaneously. Thou
Externí odkaz:
http://arxiv.org/abs/2302.07640
Importance sampling is a Monte Carlo method that introduces a proposal distribution to sample the space according to the target distribution. Yet calibration of the proposal distribution is essential to achieving efficiency, thus the resort to adapti
Externí odkaz:
http://arxiv.org/abs/2205.01501
State space models contain time-indexed parameters, termed states, as well as static parameters, simply termed parameters. The problem of inferring both static parameters as well as states simultaneously, based on time-indexed observations, is the su
Externí odkaz:
http://arxiv.org/abs/1910.14227
Autor:
Shakil, Ali, Khalighi, Mohammad Ali, Pudlo, Pierre, Leclerc, Cyril, Laplace, Dominique, Hamon, François, Boudonne, Alexandre
Publikováno v:
In Internet of Things April 2023 21
Autor:
Raynal, Louis, Marin, Jean-Michel, Pudlo, Pierre, Ribatet, Mathieu, Robert, Christian P., Estoup, Arnaud
This preprint has been reviewed and recommended by Peer Community In Evolutionary Biology (http://dx.doi.org/10.24072/pci.evolbiol.100036). Approximate Bayesian computation (ABC) has grown into a standard methodology that manages Bayesian inference f
Externí odkaz:
http://arxiv.org/abs/1605.05537
The functional linear regression model is a common tool to determine the relationship between a scalar outcome and a functional predictor seen as a function of time. This paper focuses on the Bayesian estimation of the support of the coefficient func
Externí odkaz:
http://arxiv.org/abs/1604.08403
Sequential importance sampling algorithms have been defined to estimate likelihoods in models of ancestral population processes. However, these algorithms are based on features of the models with constant population size, and become inefficient when
Externí odkaz:
http://arxiv.org/abs/1603.07237