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Marc Bocquet

École des ponts ParisTech
French Institute for Research in Computer Science and Automation
Centre national de la recherche scientifique

313

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7684

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Voltage-Dependent Synaptic Plasticity (VDSP): Unsupervised probabilistic Hebbian plasticity rule based on neurons membrane potential.

2022 CoRR
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A comparison of combined data assimilation and machine learning methods for offline and online model error correction

2021 Journal of Computational Science
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Improving Numerical Dispersion Modelling in Built Environments with Data Assimilation Using the Iterative Ensemble Kalman Smoother

2021 Boundary-Layer Meteorology
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Using machine learning to correct model error in data assimilation and forecast applications

2021
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CAPC: A Configurable Analog Pop-Count Circuit for Near-Memory Binary Neural Networks

2021 MWSCAS | International Midwest Symposium on Circuits and Systems
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Review of "Reduced-Cost Construction of Jacobian Matrices for High-Resolution Inversions of Satellite Observations of Atmospheric Composition" by Nasser et al.

2021
- Marc Bocquet
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Bayesian inference and uncertainty quantification for source reconstruction of 137Cs released during the Fukushima accident

2021
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Combining data assimilation and machine learning to infer unresolved scale parametrization.

2021 Philosophical Transactions of the Royal Society A
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Quantification of uncertainties in the assessment of an atmospheric release source applied to the autumn 2017 106 Ru event

2021 Atmospheric Chemistry and Physics
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State, global and local parameter estimation using local ensemble Kalman filters: applications to online machine learning of chaotic dynamics

2021 arXiv: Machine Learning
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