
Thomas Vuillaume
90%
Libre accès
30
Documents
Affiliations actuelles
- Laboratoire d'Annecy de Physique des Particules (LAPP)
- Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])
Identifiants chercheurs
Présentation
Hi. I am Thomas Vuillaume, a data scientist and research software engineer working at LAPP, CNRS. I specialise in data analysis, IA and machine learning and (open) research software development. https://vuillaut.github.io/
Publications
Publications
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The ESCAPE Open-source Software and Service RepositoryOpen Research Europe, 2023, 3, pp.46. ⟨10.12688/openreseurope.15692.2⟩
Article dans une revue
hal-04609485
v1
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A stratified jet model for AGN emission in the two-flow paradigmAstronomy & Astrophysics - A&A, 2018, 620, pp.A41. ⟨10.1051/0004-6361/201731899⟩
Article dans une revue
hal-01897214
v1
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Polynomial data compression for large-scale physics experimentsComputing and Software for Big Science, 2018, 2 (1), pp.6. ⟨10.1007/s41781-018-0010-3⟩
Article dans une revue
hal-01960337
v1
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Deep unsupervised domain adaptation applied to the Cherenkov Telescope Array Large-Sized Telescope20th International Conference on Content-based Multimedia Indexing (CBMI 2023), Sep 2023, Orleans, France. pp.133-139, ⟨10.1145/3617233.3617279⟩
Communication dans un congrès
hal-04190277
v1
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lstchain: An Analysis Pipeline for LST-1, the First Prototype Large-Sized Telescope of CTA30th Astronomical Data Analysis Software and Systems, Nov 2020, Granada, Spain. pp.357
Communication dans un congrès
hal-03830397
v1
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Single Imaging Atmospheric Cherenkov Telescope Full-Event Reconstruction with a Deep Multi-Task Learning Architecture30th Astronomical Data Analysis Software and Systems, Nov 2020, Granada, Spain. pp.203
Communication dans un congrès
hal-03830391
v1
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Camera Calibration of the CTA-LST prototype37th International Cosmic Ray Conference, Jul 2021, Berlin, Germany. pp.720, ⟨10.22323/1.395.0720⟩
Communication dans un congrès
hal-03324065
v1
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Analysis of the Cherenkov Telescope Array first Large-Sized Telescope real data using convolutional neural networks37th International Cosmic Ray Conference, Jul 2021, Berlin, Germany. pp.703, ⟨10.22323/1.395.0703⟩
Communication dans un congrès
hal-03324037
v1
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First Full-Event Reconstruction from Imaging Atmospheric Cherenkov Telescope Real Data with Deep LearningInternational Conference on Content-Based Multimedia Indexing (CBMI), Jun 2021, Lille, France. 6 p., ⟨10.1109/CBMI50038.2021.9461918⟩
Communication dans un congrès
hal-03241475
v2
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Multi-Task Architecture with Attention for Imaging Atmospheric Cherenkov Telescope Data AnalysisVISAPP 2021, Feb 2021, online, France
Communication dans un congrès
hal-03043188
v1
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Deep-learning-driven event reconstruction applied to simulated data from a single Large-Sized Telescope of CTA37th International Cosmic Ray Conference, Jul 2021, Berlin, Germany. pp.771, ⟨10.22323/1.395.0771⟩
Communication dans un congrès
hal-03373320
v1
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Deep Learning for Astrophysics, Understanding the Impact of Attention on Variability Induced by Parameter InitializationICPR'2020 Workshop Explainable Deep Learning-AI, Jan 2021, Milan (on line), Italy
Communication dans un congrès
hal-03043058
v1
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First follow-up of transient events with the CTA Large Size Telescope prototype37th International Cosmic Ray Conference, Jul 2021, Berlin, Germany. pp.838, ⟨10.22323/1.395.0838⟩
Communication dans un congrès
hal-03324272
v1
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Single Imaging Atmospheric Cherenkov Telescope Full-Event Reconstruction with a Deep Multi-Task Learning ArchitectureAstronomical Data Analysis Software and Systems ADASS XXX, Nov 2020, Granada, Spain
Communication dans un congrès
hal-03043005
v1
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Indexed Operations for Non-rectangular Lattices Applied to Convolutional Neural NetworksVISAPP, 14th International Conference on Computer Vision Theory and Applications, Feb 2019, Prague, Czech Republic
Communication dans un congrès
hal-02087157
v1
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GammaLearn - first steps to apply Deep Learning to the Cherenkov Telescope Array data23rd International Conference on Computing in High Energy and Nuclear Physics, Jul 2018, Sofia, Bulgaria. pp.06020, ⟨10.1051/epjconf/201921406020⟩
Communication dans un congrès
hal-02403733
v1
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GammaLearn: a Deep Learning framework for IACT data36th International Cosmic Ray Conference, Jul 2019, Madison, United States. pp.705
Communication dans un congrès
hal-02197399
v1
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A inhomogenous jet model for the broad band emission of radio loud AGNs35th International Cosmic Ray Conference, Jul 2017, Busan, South Korea. pp.864, ⟨10.22323/1.301.0864⟩
Communication dans un congrès
hal-01890893
v1
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High Performance Computing algorithms for Atmospheric Cherenkov Telescopes35th International Cosmic Ray Conference, Jul 2017, Busan, South Korea. pp.771, ⟨10.22323/1.301.0771⟩
Communication dans un congrès
hal-01890981
v1
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Gammapy - A prototype for the CTA science tools35th International Cosmic Ray Conference, Jul 2017, Busan, South Korea. pp.766, ⟨10.22323/1.301.0766⟩
Communication dans un congrès
hal-01891750
v1
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$ps^2chitt!$ – A Python package for the modelling of atmoSpheric Showers and CHerenkov Imaging Terrestrial Telescopes35th International Cosmic Ray Conference, Jul 2017, Busan, South Korea. pp.772, ⟨10.22323/1.301.0772⟩
Communication dans un congrès
hal-01903439
v1
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GammaLearn - first steps to apply Deep Learning to the Cherenkov Telescope Array data23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018), Jul 2018, Sofia, Bulgaria
Communication dans un congrès
hal-02197396
v1
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High Performance Computing algorithms for Atmospheric Cherenkov TelescopesThe 35th International Cosmic Ray Conference, the Astroparticle Physics Conference, Jul 2017, Bexco Busan, South Korea
Communication dans un congrès
hal-01745128
v1
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The eOSSR library2022
Pré-publication, Document de travail
hal-03876630
v2
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Modeling the emission of active galactic nuclei at Fermi's eraHigh Energy Astrophysical Phenomena [astro-ph.HE]. Université Grenoble Alpes, 2015. English. ⟨NNT : ⟩
Thèse
tel-01254723
v2
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Modélisation de l'émission des noyaux actifs de galaxie à l'ère FermiAstrophysique [astro-ph]. Université Grenoble Alpes, 2015. Français. ⟨NNT : 2015GREAY089⟩
Thèse
tel-01686284
v1
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lstmcpipeLogiciel hal-04903552 v1 |
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Gammapy Release V0.19Logiciel hal-03663345 v1 |
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Gammapy Version 0.20.1Logiciel hal-03713410 v1 |
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Gammapy V1.0Logiciel hal-03885031 v1 |
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