A more complete and up-to-date publication list can be found on
and on
But below, it's quite well organized.
Notes
On this page, you will find a selection of my most recent and significant publications, organized by topic and year. If you would like to see a complete list of all my publications, please visit the website listed above. As a researcher in geophysics, my work focuses on studying slow-slip events and volcanic processes. I am particularly interested in using artificial intelligence tools to analyze seismic and geodetic data. Thank you for visiting my publication page.
Peer-reviewed journals
C. Caudron, Y. Aoki, T. Lecocq, R. De Plaen, J. Soubestre, A. Mordret, L. Seydoux, and T. Terakawa. (2022). Hidden pressurized fluids prior to the 2014 phreatic eruption at Mt Ontake. Nature Communications, 13(1):6145. https://doi.org/10.1038/s41467-022-32252-w
B. Giammarinaro, C. Tsarsitalidou, G. Hillers, J. de Rosny, L. Seydoux, S. Catheline, M. Campillo, and P. Roux. (2022). Seismic surface wave focal spot imaging: numerical resolution experiments. Geophysical Journal Interna- tional, 232(1):201–222. https://doi.org/10.1093/gji/ggac247
R. Steinmann, L. Seydoux, and M. Campillo. (2022b). AI-Based Unmixing of Medium and Source Signatures From Seismograms: Ground Freezing Patterns. Geophysical Research Letters, 49(15). https://doi.org/10.1029/2022GL098854
C. Journeau, N. M. Shapiro, L. Seydoux, J. Soubestre, I. Y. Koulakov, A. V. Jakovlev, I. Abkadyrov, E. I. Gordeev, D. V. Chebrov, D. V. Droznin, C. Sens-Schönfelder, B. G. Luehr, F. Tong, G. Farge, and C. Jaupart. (2022). Seismic tremor reveals active trans-crustal magmatic system beneath Kamchatka volcanoes. Science Advances, 8 (5):eabj1571. https://doi.org/10.1126/sciadv.abj1571
F. Aden-Antoniow, W. B. Frank, and L. Seydoux. (2022). An Adaptable Random Forest Model for the Declustering of Earthquake Catalogs. Journal of Geophysical Research: Solid Earth, 127(2). https://doi.org/10.1029/2021JB023254
R. Steinmann, L. Seydoux, E. Beauce, and M. Campillo. (2022a). Hierarchical Exploration of Continuous Seismo- grams With Unsupervised Learning. Journal of Geophysical Research: Solid Earth, 127(1). https://doi.org/10.1029/2021JB022455
S. Barkaoui, P. Lognonné, T. Kawamura, E. Stutzmann, L. Seydoux, M. V. de Hoop, R. Balestriero, J.-R. Scholz, G. Sainton, M. Plasman, S. Ceylan, J. Clinton, A. Spiga, R. Widmer-Schnidrig, F. Civilini, and W. B. Banerdt. (2021). Anatomy of Continuous Mars SEIS and Pressure Data from Unsupervised Learning. Bulletin of the Seismological Society of America, 111(6):2964–2981. https://doi.org/10.1785/0120210095
P. Shi, L. Seydoux, and P. Poli. (2021). Unsupervised Learning of Seismic Wavefield Features: Clustering Continuous Array Seismic Data During the 2009 L’Aquila Earthquake. Journal of Geophysical Research: Solid Earth, 126(1). https://doi.org/10.1029/2020JB020506
L. Seydoux, R. Balestriero, P. Poli, M. de Hoop, M. Campillo, and R. Baraniuk. (2020). Clustering earthquake signals and background noises in continuous seismic data with unsupervised deep learning. Nature Communications, 11(1):3972. https://doi.org/10.1038/s41467-020-17841-x
C. Journeau, N. M. Shapiro, L. Seydoux, J. Soubestre, V. Ferrazzini, and A. Peltier. (2020). Detection, Classification, and Location of Seismovolcanic Signals with Multicomponent Seismic Data: Example from the Piton de La Four- naise Volcano (La Réunion, France). Journal of Geophysical Research: Solid Earth, 125(8). https://doi.org/10.1029/2019JB019333
M. Lott, P. Roux, L. Seydoux, B. Tallon, A. Pelat, S. Skipetrov, and A. Colombi. (2020). Localized modes on a metasurface through multiwave interactions. Physical Review Materials, 4(6):065203. https://doi.org/10.1103/PhysRevMateri- als.4.065203
J. Soubestre, L. Seydoux, N. M. Shapiro, J. De Rosny, D. V. Droznin, S. Y. Droznina, S. L. Senyukov, and E. I. Gordeev. (2019). Depth Migration of Seismovolcanic Tremor Sources Below the Klyuchevskoy Volcanic Group (Kamchatka) Determined From a Network-Based Analysis. Geophysical Research Letters, 46(14):8018–8030. https://doi.org/10.1029/2019GL083465
J. Soubestre, N. M. Shapiro, L. Seydoux, J. de Rosny, D. V. Droznin, S. Y. Droznina, S. L. Senyukov, and E. I. Gordeev. (2018). Network-Based Detection and Classification of Seismovolcanic Tremors: Example From the Klyuchevskoy Volcanic Group in Kamchatka. Journal of Geophysical Research: Solid Earth, 123(1):564–582. https://doi.org/10.1002/2017JB014726
L. Seydoux, J. de Rosny, and N. M. Shapiro. (2017). Pre-processing ambient noise cross-correlations with equalizing the covariance matrix eigenspectrum. Geophysical Journal International, 210(3):1432–1449. https://doi.org/10.1093/gji/ggx250
L. Seydoux, N. M. Shapiro, J. De Rosny, and M. Landès. (2016b). Spatial coherence of the seismic wavefield continuously recorded by the USArray: COHERENCE OF SEISMIC WAVES AT USARRAY. Geophysical Research Letters, 43(18):9644–9652. https://doi.org/10.1002/2016GL070320
L. Seydoux, N. M. Shapiro, J. De Rosny, F. Brenguier, and M. Landès. (2016a). Detecting seismic activity with a covariance matrix analysis of data recorded on seismic arrays. Geophysical Journal International, 204(3): 1430–1442. https://doi.org/10.1093/gji/ggv531
J.-L. Le Carrou, D. Chadefaux, L. Seydoux, and B. Fabre. (2014). A low-cost high-precision measurement method of string motion. Journal of Sound and Vibration, 333(17):3881–3888. https://doi.org/10.1016/j.jsv.2014.04.023
Submitted papers
L. Moreau, L. Seydoux, J. Weiss, and M. Campillo. Analysis of micro-seismicity in sea ice with deep learning and Bayesian inference: application to high-resolution thickness monitoring. preprint, Sea ice/Sea Ice, (2022)
Invited conference talks
L. Seydoux, R. Balestriero, P. Poli, M. V. de Hoop, R. Baraniuk, and M. Campillo. Seismic signals and noises clustering with unsupervised deep representation learning. volume 2019, pages S52A–04. American Geophysical Union Fall Meeting, (2019b)
L. Seydoux, M. De Hoop, R. Balestriero, and M. Campillo. Unsupervised detection and clustering of seismic sources with trainable scattering network. Machine learning in solid earth geosciences 2, 2019c)
L. Seydoux, R. Balestriero, P. Poli, M. De Hoop, R. Baraniuk, and M. Campillo. Unsupervised clustering of continuous seismograms with deep learning. Cargèse Workshop Lectures, 2019a)
L. Seydoux, N. Shapiro, J. de Rosny, and M. Landes. A Spatial Coherence Analysis of Seismic Wavefields Based on Array Covariance Matrix : Application to One Year of the USArray Data. volume 2015, pages S34B–04. American Geophysical Union Fall Meeting, (2015)
Invited seminars
Institut de Physique du Globe de Paris, France (2021). Multiscale observations for the physical characterization of fault systems and volcanoes with artificial intelligence. Link : www.ipgp.fr/fr/seminaires
Physics Laboratory (φ-lab), École Normale Supérieure de Lyon, France (2021). Analysis of complex physical systems with information theory and statistical learning. Link : www.ens-lyon.fr/PHYSIQUE/seminar learning-and-signal-processing.
Department of Earth Sciences, École Normale Supérieure de Lyon, France (2020) What can we learn from seismic data? Rice University, Department of Computational and Applied Mathematics, Houston, TX (2018) Learnable scattering transform for seismic signal analysis.
Laboratory of Planetology and Geodynamics, Nantes University, France (2018) Array-based analysis of random seismic wavefields. Link: https://lpg-umr6112.fr
Biomedical Imaging Laboratory, University of Paris, France (2016). Seismic detection with a covariance matrix analysis of data recorded on seismic arrays.