Simon BARTHELME

Simon BARTHELME

Simon BARTHELME

Titulaire d'une HDR obtenue en 2024

Personnel CNRS Permanent
Theoretical & computational statistics, kernel methods, point processes

Site Ampère

Bureau : B378

Téléphone : 04 76 82 64 55

Biographie

(à compléter)

Publications / Travaux


56 documents

Articles dans une revue18 documents

  • Martin Gjorgjevski, Nicolas Keriven, Simon Barthelme, Yohann De Castro. Node Regression on Latent Position Random Graphs via Local Averaging. Journal of Machine Learning Research, 2026, 27 (88), pp.1819. ⟨hal-04795829⟩
  • Hugo Jaquard, Pierre-Olivier Amblard, Simon Barthelme, Nicolas Tremblay. Random Multi-Type Spanning Forests for Synchronization on Sparse Graphs. SIAM Journal on Mathematics of Data Science, 2025, 7 (3), pp.1123-1153. ⟨10.1137/24M1649563⟩. ⟨hal-04524778v2⟩
  • Simon Barthelme, Pierre-Olivier Amblard, Nicolas Tremblay, Konstantin Usevich. Gaussian process regression in the flat limit. Annals of Statistics, 2023, 51 (6), pp.2471-2505. ⟨10.1214/23-AOS2336⟩. ⟨hal-03869191⟩
  • Simon Barthelme, Nicolas Tremblay, Konstantin Usevich, Pierre-Olivier Amblard. Determinantal point processes in the flat limit. Bernoulli, 2023, 29 (2), pp.957-983. ⟨10.3150/22-BEJ1486⟩. ⟨hal-03359889⟩
  • Nicolas Tremblay, Simon Barthelme, Konstantin Usevich, Pierre-Olivier Amblard. Extended L-ensembles: A new representation for determinantal point processes. The Annals of Applied Probability, 2023, 33 (1), pp.613-640. ⟨10.1214/22-AAP1824⟩. ⟨hal-03359895⟩
  • Pierre Maho, Cyril Herrier, Thierry Livache, Pierre Comon, Simon Barthelme. A calibrant-free drift compensation method for gas sensor arrays. Chemometrics and Intelligent Laboratory Systems, 2022, 225 (June), pp.104549. ⟨10.1016/j.chemolab.2022.104549⟩. ⟨hal-03409223v2⟩
  • Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelme, Nicolas Tremblay. Graph Tikhonov Regularization and Interpolation via Random Spanning Forests. IEEE Transactions on Signal and Information Processing over Networks, 2021, 7, pp.359-374. ⟨10.1109/TSIPN.2021.3084879⟩. ⟨hal-03012192v2⟩
  • Pierre Maho, Cyril Herrier, Thierry Livache, Pierre Comon, Simon Barthelme. Real-time gas recognition and gas unmixing in robot applications. Sensors and Actuators B: Chemical, 2021, 330, pp.129111. ⟨10.1016/j.snb.2020.129111⟩. ⟨hal-02448737v2⟩
  • Simon Barthelme, Konstantin Usevich. Spectral properties of kernel matrices in the flat limit. SIAM Journal on Matrix Analysis and Applications, 2021, 42 (1), pp.17-57. ⟨10.1137/19M129677X⟩. ⟨hal-03017947v2⟩
  • Pierre Maho, Cyril Herrier, Thierry Livache, Guillaume Rolland, Pierre Comon, et al.. Reliable chiral recognition with an optoelectronic nose. Biosensors and Bioelectronics, 2020, 159 (July), pp.112183. ⟨10.1016/j.bios.2020.112183⟩. ⟨hal-02534216v2⟩
  • Nicolas Tremblay, Simon Barthelme, Pierre-Olivier Amblard. Determinantal Point Processes for Coresets. Journal of Machine Learning Research, 2019, 20 (168), pp.1-70. ⟨hal-01741533v2⟩
  • Simon Barthelme, Pierre-Olivier Amblard, Nicolas Tremblay. Asymptotic Equivalence of Fixed-size and Varying-size Determinantal Point Processes. Bernoulli, 2019, 25 (4B), pp.3555-3589. ⟨10.3150/18-BEJ1102⟩. ⟨hal-02086028⟩
  • Camille Breuil, Ben Jennings, Simon Barthelme, Nathalie Guyader, Frederick Kingdom. Color improves edge classification in human vision. PLoS Computational Biology, 2019, 15 (10), pp.e1007398. ⟨10.1371/journal.pcbi.1007398⟩. ⟨hal-02378538⟩
  • Hans Trukenbrod, Simon Barthelme, Felix Wichmann, Ralf Engbert. Spatial statistics for gaze patterns in scene viewing: Effects of repeated viewing. Journal of Vision, 2019, 19 (6), pp.5. ⟨10.1167/19.6.5⟩. ⟨hal-02305897⟩
  • Guillaume Dehaene, Simon Barthelme. Expectation Propagation in the large-data limit. Journal of the Royal Statistical Society: Series B, 2018, 80 (Part 1), pp.197-217. ⟨10.1111/rssb.12241⟩. ⟨hal-01235066⟩
  • Simon Barthelme, Nicolas Chopin. The Poisson transform for unnormalised statistical models. Statistics and Computing, 2015, 25 (4), pp.767-780. ⟨10.1007/s11222-015-9559-4⟩. ⟨hal-02391270⟩
  • Simon Barthelme. Fast matrix computations for functional additive models. Statistics and Computing, 2015, 25 (1), pp.47-63. ⟨10.1007/s11222-014-9490-0⟩. ⟨hal-01235072⟩
  • Simon Barthelme, Nicolas Chopin. Expectation Propagation for Likelihood-Free Inference. Journal of the American Statistical Association, 2014, 109 (505), pp.315-333. ⟨10.1080/01621459.2013.864178⟩. ⟨hal-02403286⟩

Communications dans un congrès24 documents

  • Simon Barthelme, Fabienne Castell, Alexandre Gaudillière, Clothilde Melot, Matteo Quattropani, et al.. Estimating a graph’s spectrum via random Kirchhoff forests. GRETSI 2025 – XXXème Colloque Francophone de Traitement du Signal et des Images, Aug 2025, Strasbourg, France. ⟨hal-05010542⟩
  • Martin Gjorgjevski, Nicolas Keriven, Simon Barthelme, Yohann De Castro. Graphical Kernel Ridge Regression in Latent Position Models. GRETSI 2025 – XXXème Colloque Francophone de Traitement du Signal et des Images, Aug 2025, Strasbourg, France. pp.1-4. ⟨hal-05385113⟩
  • Hugo Jaquard, Pierre-Olivier Amblard, Simon Barthelme, Nicolas Tremblay. Estimators for Connection-Laplacian-Based Linear Algebra. GSP 2024 – 7th Graph Signal Processing Workshop, Jun 2024, Delft, Netherlands. ⟨hal-04699884⟩
  • Martin Gjorgjevski, Nicolas Keriven, Simon Barthelme, Yohann de Castro. The Graphical Nadaraya-Watson Estimator in Latent Position Models. GRETSI 2023 – XXIXème Colloque Francophone de Traitement du Signal et des Images, GRETSI – Groupe de Recherche en Traitement du Signal et des Images, Aug 2023, Grenoble, France. pp.1-4. ⟨hal-04241086⟩
  • Nicolas Tremblay, Yusuf Yigit Pilavci, Simon Barthelme, Pierre-Olivier Amblard. What can we Compute With Kirchhoff Forests?. GSP 2023 – 6th Graph Signal Processing workshop, Jun 2023, Oxford, United Kingdom. ⟨hal-04104124⟩
  • Hugo Jaquard, Pierre-Olivier Amblard, Simon Barthelme, Nicolas Tremblay. Angular Synchronization on Graphs with Monte-Carlo. GSP 2023 – 6th Graph Signal Processing workshop, Jun 2023, Oxford, United Kingdom. ⟨hal-04104630v2⟩
  • Hugo Jaquard, Michaël Fanuel, Pierre-Olivier Amblard, Rémi Bardenet, Simon Barthelme, et al.. Smoothing complex-valued signals on Graphs with Monte-Carlo. ICASSP 2023 – IEEE International Conference on Acoustics, Speech and Signal Processing, Jun 2023, Rhodes Island, Greece. ⟨10.1109/ICASSP49357.2023.10096354⟩. ⟨hal-03869873⟩
  • Simon Barthelme, Nicolas Tremblay, Pierre-Olivier Amblard. A Faster Sampler for Discrete Determinantal Point Processes. AISTATS 2023 – 26th International Conference on Artificial Intelligence and Statistics, Apr 2023, Valencia, Spain. pp.5582-5592. ⟨hal-03835312v2⟩
  • Simon Barthelme, Florent Chatelain, Clément Cascales, Cyril Herrier. Correction de dérive pour l’interférométrie de Mach-Zehnder. GRETSI 2022 – XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France. ⟨hal-03738571⟩
  • Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelme, Nicolas Tremblay. Variance Reduction for Inverse Trace Estimation via Random Spanning Forests. GRETSI 2022 – XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France. ⟨hal-03691004v4⟩
  • Pierre-Olivier Amblard, Simon Barthelme, Nicolas Tremblay, Konstantin Usevich. Mesures d’indépendance dans des rkHs en limite plate. GRETSI 2022 – XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France. ⟨hal-03702856⟩
  • Clément Cascales, Cyril Herrier, Thierry Livache, Simon Barthelme, Florent Chatelain. Propriétés statistiques des interféromètres de Mach-Zehnder à plusieurs sorties. GRETSI 2022 – XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022, Nancy, France. ⟨hal-04839061⟩
  • Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelme, Nicolas Tremblay. Variance reduction in stochastic methods for large-scale regularised least-squares problems. EUSIPCO 2022 – 30th European Signal Processing Conference, Aug 2022, Belgrade, Serbia. ⟨10.23919/EUSIPCO55093.2022.9909520⟩. ⟨hal-03378171⟩
  • Yusuf Yigit Pilavci, Pierre-Olivier Amblard, Simon Barthelme, Nicolas Tremblay. Smoothing graph signals via random spanning forests. ICASSP 2020 – IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, May 2020, Barcelone (virtual), Spain. ⟨10.1109/ICASSP40776.2020.9054497⟩. ⟨hal-02319175v2⟩
  • Simon Barthelme, Nicolas Tremblay, Alexandre Gaudilliere, Luca Avena, Pierre-Olivier Amblard. Estimating the inverse trace using random forests on graphs. GRETSI 2019 – XXVIIème Colloque Francophone de Traitement du Signal et des Images, Aug 2019, Lille, France. ⟨hal-02319194⟩
  • Pierre Maho, Carlos Leonardo Dolcinotti, Thierry Livache, Cyril Herrier, Anton Andreev, et al.. Reconnaissance de plusieurs composés chimiques à l’aide d’un robot équipé d’un nez électronique. GRETSI 2019 – XXVIIème Colloque Francophone de Traitement du Signal et des Images, Aug 2019, Lille, France. ⟨hal-02180373⟩
  • Pierre Maho, Carlos Leonardo Dolcinotti, Thierry Livache, Cyril Herrier, Anton Andreev, et al.. Olfactive robot for gas discrimination over several months using a new optoelectronic nose. ISOEN 2019 – 18th International Symposium on Olfaction and Electronic Nose, May 2019, Fukuoka, Japan. ⟨10.1109/ISOEN.2019.8823405⟩. ⟨hal-02067954⟩
  • Pierre Maho, Simon Barthelme, Pierre Comon. Non-linear source separation under the Langmuir model for chemical sensors. SAM 2018 – 10th IEEE Workshop on Sensor Array and Multichannel Signal Processing, Jul 2018, Sheffield, United Kingdom. pp.380-384, ⟨10.1109/SAM.2018.8448636⟩. ⟨hal-01802358⟩
  • Pierre-Olivier Amblard, Simon Barthelme, Nicolas Tremblay. Subsampling with k determinantal point processes for estimating statistics in large data sets. SSP 2018 – 2018 IEEE Workshop on Statistical Signal Processing, Jun 2018, Fribourg-en-Brisgau, Germany. ⟨10.1109/SSP.2018.8450831⟩. ⟨hal-01778956⟩
  • Camille Breuil, Simon Barthelme, Nathalie Guyader. Detecting color in natural scenes. Groupe de Recherche Vision Annual Meeting, Oct 2017, Lille, France. ⟨hal-01836554⟩
  • Nicolas Tremblay, Simon Barthelme, Pierre-Olivier Amblard. Échantillonnage de signaux sur graphes via des processus déterminantaux. GRETSI 2017 – XXVIème Colloque francophone de traitement du signal et des images, Sep 2017, Juan-Les-Pins, France. ⟨hal-01503736v2⟩
  • Nicolas Tremblay, Pierre-Olivier Amblard, Simon Barthelme. Graph sampling with determinantal processes. EUSIPCO 2017 – 25th European Signal Processing Conference, Aug 2017, Kos Island, Greece. ⟨10.23919/EUSIPCO.2017.8081494⟩. ⟨hal-01483347⟩
  • Guillaume Dehaene, Simon Barthelme. Bounding errors of Expectation-Propagation. NIPS 2015 – 29th Conference on Neural Information Processing Systems, Dec 2015, Montréal, Canada. ⟨hal-01250082⟩
  • Simon Barthelme. Analysing eye movement data using Point Process models. 1ères Rencontres R, Jul 2012, Bordeaux, France. ⟨hal-00717555⟩

Poster de conférence3 documents

  • Camille Breuil, Simon Barthelme, Nathalie Guyader. Luminance modulates color detection threshold in natural scenes. International Colour Vision Society Symposium, Aug 2017, Erlangen, Germany. ⟨hal-01836503⟩
  • Camille Breuil, Simon Barthelme, Nathalie Guyader. How redundant are luminance and chrominance information in natural scenes?. Vision Sciences Society Annual Meeting, May 2017, St Pete Beach, United States. ⟨hal-01836541⟩
  • Camille Breuil, Simon Barthelme, Nathalie Guyader. Independence of luminance and chrominance information in natural scenes strongly depends on data pre-processing.. Groupe de Recherche Vision Annual Meeting, Nov 2016, Toulouse, France. ⟨hal-01836558⟩

Proceedings/Recueil des communications1 document

  • Yvann Le Fay, Nicolas Chopin, Simon Barthelme. Least squares variational inference. NeurIPS, Dec 2025, San Diego (CA), United States. 2025. ⟨hal-05414730⟩

Chapitres d’ouvrage1 document

  • Simon Barthelme, Nicolas Chopin, Vincent Cottet. Divide and conquer in ABC: expectation-propagation algorithms for likelihood-free inference.. Chapman & Hall. Handbook of approximate Bayesian computation, Chapman & Hall/CRC Handb. Mod. Stat. Methods. CRC Press, Boca Raton, FL, 2019, pp. 415–434., Chapman & Hall/CRC Handb. Mod. Stat. Methods. CRC Press, Boca Raton, FL, 2019, pp. 415-434, 2019, eISBN : 9781315117195, ISSN hardback : 9781439881507, ISSN paperback : 9780367733728. ⟨hal-04793437⟩

Brevets1 document

  • Florent Chatelain, Simon Barthelme, Clément Cascales, Pierre Maho, van Tri Nguyen, et al.. Compact calibrated interferometric characterisation system. France, Patent n° : WO2024052228 (A1). 2024. ⟨hal-04595339⟩

Pré-publications, Documents de travail7 documents

  • Simon Barthelme, Fabienne Castell, Alexandre Gaudillière, Clothilde Mélot, Matteo Quattropani, et al.. Spectrum Estimation through Kirchhoff Random Forests. 2025. ⟨hal-05412261⟩
  • Yvann Le Fay, Nicolas Chopin, Simon Barthelmé. Least squares variational inference. 2025. ⟨hal-04963327v3⟩
  • Konstantin Usevich, Simon Barthelme. Computing asymptotic eigenvectors and eigenvalues of perturbed symmetric matrices. 2024. ⟨hal-04659372v2⟩
  • Simon Barthelme, Nicolas Tremblay, Konstantin Usevich, Pierre-Olivier Amblard. Determinantal Point Processes in the Flat Limit: Extended L-ensembles, Partial-Projection DPPs and Universality Classes. 2020. ⟨hal-03012027⟩
  • Simon Barthelme, Nicolas Chopin, Vincent Cottet. Divide and conquer in ABC: Expectation-Progagation algorithms for likelihood-free inference. 2015. ⟨hal-01236876⟩
  • Christophe Andrieu, Simon Barthelme, Nicolas Chopin, Julien Cornebise, Arnaud Doucet, et al.. Some discussions of D. Fearnhead and D. Prangle’s Read Paper « Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation ». 2012. ⟨hal-00658084⟩
  • Simon Barthelme, Magali Beffy, Nicolas Chopin, Arnaud Doucet, Pierre Jacob, et al.. Discussions on « Riemann manifold Langevin and Hamiltonian Monte Carlo methods ». 2010. ⟨hal-00596301⟩

Habilitations à diriger des recherches1 document

  • Simon Barthelme. Almost Exclusively Linear Algebra: An Introduction to Determinantal Point Processes. Statistics [math.ST]. Université Grenoble – Alpes, 2024. ⟨tel-04944870⟩

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