Learning Optimal Transport Between Two Empirical Distributions with Normalizing Flows

Autor: Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais

Publikováno v: Machine Learning and Knowledge Discovery in Databases ISBN: 9783031264184

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e579df596c713769be00cad27c63ed82
https://doi.org/10.1007/978-3-031-26419-1_17

A versatile distributed MCMC algorithm for large scale inverse problems

Autor: Pierre-Antoine Thouvenin, Audrey Repetti, Pierre Chainais

Publikováno v: 30th European Signal Processing Conference, EUSIPCO 2022
30th European Signal Processing Conference, EUSIPCO 2022, Aug 2022, Belgrade, Serbia

International audience; For large scale inverse problems, inference can be tackled with distributed algorithms, dividing the task over multiple computing nodes or cores referred to as workers. Since random sampling methods yield not only estimates bu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a03417c61552045bb2c0b1b4a6eaa71e
https://hal.science/hal-03718788/document

Asymptotically Exact Data Augmentation: Models, Properties, and Algorithms

Autor: Nicolas Dobigeon, Maxime Vono, Pierre Chainais

Publikováno v: Journal of Computational and Graphical Statistics
Journal of Computational and Graphical Statistics, Taylor & Francis, 2021, 30 (2), pp.335-348. ⟨10.1080/10618600.2020.1826954⟩
Journal of Computational and Graphical Statistics, 2021, 30 (2), pp.335-348. ⟨10.1080/10618600.2020.1826954⟩

Data augmentation, by the introduction of auxiliary variables, has become an ubiquitous technique to improve convergence properties, simplify the implementation or reduce the computational time of inference methods such as Markov chain Monte Carlo on

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef5786e37182daeb26df4c0bc276b5cb
https://doi.org/10.1080/10618600.2020.1826954

Tracers of the ionization fraction in dense and translucent gas: I. Automated exploitation of massive astrochemical model grids

Autor: Emeric Bron, Antoine Roueff, Nicolas Peretto, Franck Le Petit, Albrecht Sievers, Viviana V. Guzmán, François Levrier, David Languignon, Victor de Souza Magalhaes, Javier R. Goicoechea, E. Roueff, Annie Hughes, Pierre Chainais, Mathilde Gaudel, Karin I. Öberg, Sébastien Bardeau, Maryvonne Gerin, Jacques Le Bourlot, Jouni Kainulainen, Harvey S. Liszt, Pierre Gratier, Jan H. Orkisz, Maxime Vono, Jérôme Pety

Publikováno v: Astronomy and Astrophysics-A&A
Astronomy and Astrophysics-A&A, EDP Sciences, 2020, ⟨10.1051/0004-6361/202038040⟩
Astronomy and Astrophysics-A&A, 2021, 645, pp.A28. ⟨10.1051/0004-6361/202038040⟩
Astronomy and Astrophysics-A&A, EDP Sciences, 2020, 645, pp.A28. ⟨10.1051/0004-6361/202038040⟩
Digital.CSIC. Repositorio Institucional del CSIC
instname

28 pags., 15 figs., 12 tabs.
Context. The ionization fraction in the neutral interstellar medium (ISM) plays a key role in the physics and chemistry of the ISM, from controlling the coupling of the gas to the magnetic field to allowing fast ion-

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddf439aea88d32304b2478eedb39c41e
http://hdl.handle.net/10261/258743

Quantitative inference of the H2 column densities from 3 mm molecular emission: A case study towards Orion B

Autor: Javier R. Goicoechea, M. Gaudel, Victor de Souza Magalhaes, François Levrier, David Languignon, Maryvonne Gerin, Franck Petit, Viviana V. Guzmán, Pierre Chainais, Annie Hughes, Albrecht Sievers, Harvey S. Liszt, Pierre Gratier, Jan H. Orkisz, Maxime Vono, Sébastien Bardeau, Nicolas Peretto, Jocelyn Chanussot, Jérôme Pety, Jacques Le Bourlot, Evelyne Roueff, Antoine Roueff, Jouni Kainulainen, Emeric Bron

Publikováno v: Astronomy and Astrophysics-A&A
Astronomy and Astrophysics-A&A, EDP Sciences, 2020, ⟨10.1051/0004-6361/202037871⟩
Astronomy and Astrophysics-A&A, 2021, 645, pp.A27. ⟨10.1051/0004-6361/202037871⟩
Astronomy and Astrophysics-A&A, EDP Sciences, 2021, 645 (janvier 2021), pp.A27. ⟨10.1051/0004-6361/202037871⟩
Astronomy and Astrophysics-A&A, EDP Sciences, 2021, 645 (January 2021), pp.A27. ⟨10.1051/0004-6361/202037871⟩
Digital.CSIC. Repositorio Institucional del CSIC
instname
Astronomy and Astrophysics-A&A, EDP Sciences, 2021, 645, pp.A27. ⟨10.1051/0004-6361/202037871⟩

27 pags., 19 figs., 4 tabs.
Molecular hydrogen being unobservable in cold molecular clouds, the column density measurements of molecular gas currently rely either on dust emission observation in the far-IR or on star counting. (Sub-)millimeter o

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c869c4d1f4a0fa60c9b33225d106a128
https://hal.archives-ouvertes.fr/hal-03017404/file/2008.13417.pdf