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Bertrand Rouet-Leduc

Showing results (1-10 of 10) with videos related to

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Nature Communications|May 14, 2024
Automatic detection of methane emissions in multispectral satellite imagery using a vision transformerBertrand Rouet-Leduc, Claudia Hulbert
Nature Communications|February 2, 2026
Publisher Correction: Machine learning predicts meter-scale laboratory earthquakesReiju Norisugi, Yoshihiro Kaneko, Bertrand Rouet-Leduc
Nature Communications|October 31, 2025
Machine learning predicts meter-scale laboratory earthquakesReiju Norisugi, Yoshihiro Kaneko, Bertrand Rouet-Leduc
Nature Communications|August 20, 2020
An exponential build-up in seismic energy suggests a months-long nucleation of slow slip in CascadiaClaudia Hulbert, Bertrand Rouet-Leduc, Romain Jolivet, et al.
Scientific Reports|April 27, 2016
Optimisation of GaN LEDs and the reduction of efficiency droop using active machine learningBertrand Rouet-Leduc, Kipton Barros, Turab Lookman, et al.
Geophysical Research Letters|July 28, 2020
Probing Slow Earthquakes With Deep LearningBertrand Rouet-Leduc, Claudia Hulbert, Ian W McBrearty, et al.
Nature Communications|November 11, 2021
Autonomous extraction of millimeter-scale deformation in InSAR time series using deep learningBertrand Rouet-Leduc, Romain Jolivet, Manon Dalaison, et al.
Nature|May 11, 2022
Instantaneous tracking of earthquake growth with elastogravity signalsAndrea Licciardi, Quentin Bletery, Bertrand Rouet-Leduc, et al.
Nano Letters|October 22, 2015
Nanocathodoluminescence Reveals Mitigation of the Stark Shift in InGaN Quantum Wells by Si DopingJames T Griffiths, Siyuan Zhang, Bertrand Rouet-Leduc, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 26, 2021
Laboratory earthquake forecasting: A machine learning competitionPaul A Johnson, Bertrand Rouet-Leduc, Laura J Pyrak-Nolte, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Nature Communications|May 14, 2024
Automatic detection of methane emissions in multispectral satellite imagery using a vision transformerBertrand Rouet-Leduc, Claudia Hulbert
Nature Communications|February 2, 2026
Publisher Correction: Machine learning predicts meter-scale laboratory earthquakesReiju Norisugi, Yoshihiro Kaneko, Bertrand Rouet-Leduc
Nature Communications|October 31, 2025
Machine learning predicts meter-scale laboratory earthquakesReiju Norisugi, Yoshihiro Kaneko, Bertrand Rouet-Leduc
Nature Communications|August 20, 2020
An exponential build-up in seismic energy suggests a months-long nucleation of slow slip in CascadiaClaudia Hulbert, Bertrand Rouet-Leduc, Romain Jolivet, et al.
Scientific Reports|April 27, 2016
Optimisation of GaN LEDs and the reduction of efficiency droop using active machine learningBertrand Rouet-Leduc, Kipton Barros, Turab Lookman, et al.
Geophysical Research Letters|July 28, 2020
Probing Slow Earthquakes With Deep LearningBertrand Rouet-Leduc, Claudia Hulbert, Ian W McBrearty, et al.
Nature Communications|November 11, 2021
Autonomous extraction of millimeter-scale deformation in InSAR time series using deep learningBertrand Rouet-Leduc, Romain Jolivet, Manon Dalaison, et al.
Nature|May 11, 2022
Instantaneous tracking of earthquake growth with elastogravity signalsAndrea Licciardi, Quentin Bletery, Bertrand Rouet-Leduc, et al.
Nano Letters|October 22, 2015
Nanocathodoluminescence Reveals Mitigation of the Stark Shift in InGaN Quantum Wells by Si DopingJames T Griffiths, Siyuan Zhang, Bertrand Rouet-Leduc, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 26, 2021
Laboratory earthquake forecasting: A machine learning competitionPaul A Johnson, Bertrand Rouet-Leduc, Laura J Pyrak-Nolte, et al.
Pageof 1