MB
Marc Bocquet
cs.LGphysics.ao-phstat.MLphysics.data-annlin.CDcond-mat.str-elstat.APcond-mat.mes-hallmath.OCstat.ME
On Valency
published · living versionsW_gb6px6je·v1 · currentpublished
Batched NN 4D-Var: a performant hybrid model framework for the Integrated Forecasting System
with Alban Farchi, Marcin Chrust, Massimo Bonavita, Wei Pan +1
1 version
Preprints & journals
44 papers in the corpus · 1998–2026Accounting for model error in ensemble variational data assimilation through learned generative dynamics2610.17333v1 · Marc Bocquet, Tobias S. Finn, Sibo Cheng2026 · 0 citationsarXiv
Zero-shot generalization of transformer neural operators to larger domains2606.14597v2 · Armand de Villeroch'e, Sibo Cheng, Vincent Le Guen et al.2026 · 0 citationsarXiv
Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric flow in urban environments2603.25635v1 · Armand de Villeroch'e, Rem-Sophia Mouradi, Vincent Le Guen et al.2026 · 0 citationsarXiv
Hybrid physics-data-driven modeling for sea ice thermodynamics and transfer learning2601.23190v2 · Giovanni De Cillis, Alberto Carrassi, Julien Brajard et al.2026 · 1 citationarXiv
Bridging Idealized and Operational Models: An Explainable AI Framework for Earth System Emulators2510.13030v1 · Pouria Behnoudfar, Charlotte Moser, Marc Bocquet et al.2025 · 1 citationarXiv
Generative AI models capture realistic sea-ice evolution from days to decades2508.14984v2 · Tobias Sebastian Finn, Marc Bocquet, Pierre Rampal et al.2025 · 1 citationarXiv
A Probabilistic Approach to Wildfire Spread Prediction Using a Denoising Diffusion Surrogate Model2507.00761v2 · Wenbo Yu, Anirbit Ghosh, Tobias Sebastian Finn et al.2025 · 3 citationsGeosci. Model Dev., 19, 1027-1054, 2026
Ensemble Kalman filter in latent space using a variational autoencoder pair2502.12987v1 · Ivo Pasmans, Yumeng Chen, Tobias Sebastian Finn et al.2025 · 5 citationsarXiv
Machine learning for modelling unstructured grid data in computational physics: a review2502.09346v1 · Sibo Cheng, Marc Bocquet, Weiping Ding et al.2025 · 37 citationsarXiv
Accurate deep learning-based filtering for chaotic dynamics by identifying instabilities without an ensemble.39345191 · Bocquet, Marc, Farchi, Alban, Finn, Tobias S et al.2024 · 15 citationsChaos (Woodbury, N.Y.). 2024;34(9)
Towards diffusion models for large-scale sea-ice modelling2406.18417v2 · Tobias Sebastian Finn, Charlotte Durand, Alban Farchi et al.2024 · 1 citationarXiv
Development of an offline and online hybrid model for the Integrated Forecasting System2403.03702v2 · Alban Farchi, Marcin Chrust, Marc Bocquet et al.2024 · 12 citationsarXiv
Parameter sensitivity analysis of a sea ice melt pond parametrisation and its emulation using neural networks2304.05407v1 · Simon Driscoll, Alberto Carrassi, Julien Brajard et al.2023 · 14 citationsarXiv
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review2303.10462v1 · Sibo Cheng, Cesar Quilodran-Casas, Said Ouala et al.2023 · 307 citationsarXiv
Online model error correction with neural networks in the incremental 4D-Var framework2210.13817v1 · Alban Farchi, Marcin Chrust, Marc Bocquet et al.2022 · 42 citationsarXiv
A Tutorial on Bayesian Data Assimilation2112.07704v3 · Colin Grudzien, Marc Bocquet2021 · 1 citationarXiv
A comparison of combined data assimilation and machine learning methods for offline and online model error correction2107.11114v2 · Alban Farchi, Marc Bocquet, Patrick Laloyaux et al.2021 · 53 citationsarXiv
State, global and local parameter estimation using local ensemble Kalman filters: applications to online machine learning of chaotic dynamics2107.11253v4 · Quentin Malartic, Alban Farchi, Marc Bocquet2021 · 27 citationsarXiv
Combining data assimilation and machine learning to infer unresolved scale parametrization.33583267 · Brajard, Julien, Carrassi, Alberto, Bocquet, Marc et al.2021 · 181 citationsPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences. 2021;379(2194):20200086
Using machine learning to correct model error in data assimilation and forecast applications2010.12605v2 · Alban Farchi, Patrick Laloyaux, Massimo Bonavita et al.2020 · 155 citationsarXiv
Data assimilation for chaotic dynamics2010.07063v2 · Alberto Carrassi, Marc Bocquet, Jonathan Demaeyer et al.2020 · 36 citationsarXiv
Combining data assimilation and machine learning to infer unresolved scale parametrisation2009.04318v2 · Julien Brajard, Alberto Carrassi, Marc Bocquet et al.2020 · 9 citationsarXiv
Online learning of both state and dynamics using ensemble Kalman filters2006.03859v2 · Marc Bocquet, Alban Farchi, Quentin Malartic2020 · 42 citationsFoundations of Data Science, 2020
On temporal scale separation in coupled data assimilation with the ensemble Kalman filter2003.03333v1 · Maxime Tondeur, Alberto Carrassi, Stephane Vannitsem et al.2020 · 31 citationsarXiv
Bayesian inference of chaotic dynamics by merging data assimilation, machine learning and expectation-maximization2001.06270v2 · Marc Bocquet, Julien Brajard, Alberto Carrassi et al.2020 · 152 citationsFoundations of Data Science, 2, 55-80, 2020
Combining data assimilation and machine learning to emulate a dynamical model from sparse and noisy observations: a case study with the Lorenz 96 model2001.01520v2 · Julien Brajard (1, Alberto Carassi (3, Marc Bocquet et al.2020 · 321 citationsJournal of Computational Science, Volume 44, 2020
A Review of Innovation-Based Methods to Jointly Estimate Model and Observation Error Covariance Matrices in Ensemble Data Assimilation1807.11221v5 · Pierre Tandeo, Pierre Ailliot, Marc Bocquet et al.2018 · 137 citationsarXiv
Adaptive covariance inflation in the ensemble Kalman filter by Gaussian scale mixtures1801.08474v4 · Patrick N. Raanes, Marc Bocquet, Alberto Carrassi2018 · 63 citationsarXiv
An iterative ensemble Kalman filter in presence of additive model error1711.06110v2 · Pavel Sakov, Jean-Matthieu Haussaire, Marc Bocquet2017 · 45 citationsarXiv
Stochastic parameterization identification using ensemble Kalman filtering combined with expectation-maximization and Newton-Raphson maximum likelihood methods1709.07328v1 · Manuel Pulido, Pierre Tandeo, Marc Bocquet et al.2017 · 62 citationsarXiv
Estimating model evidence using ensemble-based data assimilation with localization - The model selection problem1709.06635v2 · Sammy Metref, Alexis Hannart, Juan Ruiz et al.2017 · 19 citationsarXiv
Data Assimilation in the Geosciences - An overview on methods, issues and perspectives1709.02798v3 · Alberto Carrassi, Marc Bocquet, Laurent Bertino et al.2017 · 872 citationsarXiv
Asymptotic forecast uncertainty and the unstable subspace in the presence of additive model error1707.08334v4 · Colin Grudzien, Alberto Carrassi, Marc Bocquet2017 · 24 citationsarXiv
Estimating model evidence using data assimilation1605.01526v2 · Alberto Carrassi, Marc Bocquet, Alexis Hannart et al.2016 · 47 citationsarXiv
Degenerate Kalman filter error covariances and their convergence onto the unstable subspace1604.02578v3 · Marc Bocquet, Karthik S. Gurumoorthy, Amit Apte et al.2016 · 60 citationsSIAM/ASA J. Uncertainty Quantification 5 (2017) 304-333
Local ensemble transform Kalman filter, a fast non-stationary control law for adaptive optics on ELTs: theoretical aspects and first simulation results.25321291 · Gray, Morgan, Petit, Cyril, Rodionov, Sergey et al.2015 · 13 citationsOptics express. 2014;22(17):20894-913
Local Ensemble Transform Kalman Filter: a non-stationary control law for complex adaptive optics systems on ELTs1310.5954v2 · Morgan Gray, Cyril Petit, Sergey Rodionov et al.2013 · 1 citationarXiv
Network models for localisation problems belonging to the chiral symmetry classescond-mat/0210695v1 · Marc Bocquet, J.T. Chalker2002 · 30 citationsPhys. Rev. B 67, 054204 (2003)
Finite-temperature perturbation theory for quasi-one-dimensional spin-1/2 Heisenberg antiferromagnetscond-mat/0110429v1 · Marc Bocquet2001 · 28 citationsarXiv
Finite-temperature dynamical magnetic susceptibility of quasi-one-dimensional frustrated spin-1/2 Heisenberg antiferromagnetscond-mat/0102138v2 · Marc Bocquet, Fabian H.L. Essler, Alexei M. Tsvelik et al.2001 · 104 citationsarXiv
Disordered 2d quasiparticles in class D: Dirac fermions with random mass, and dirty superconductorscond-mat/9910480v3 · M. Bocquet, D. Serban, M.R. Zirnbauer1999 · 126 citationsNucl. Phys. B 578 (2000) 628
Generalized nonlinear sigma model approach to alternating spin chains and ladderscond-mat/9904169v1 · M. Bocquet, Th. Jolicoeur1999 · 7 citationsEurophys. J. B29, 3226 (2000)
Edge Logarithmic Corrections probed by Impurity NMRcond-mat/9902028v3 · V. Brunel, M. Bocquet, Th. Jolicoeur1999 · 22 citationsPRL83, 2821 (1999)
Some spectral properties of the one-dimensional Dirac equationcond-mat/9810225v1 · M. Bocquet1998 · 20 citationsNucl.Phys.B 546(3) (1999) 621
Career total: 392 works. 44 are in this corpus.
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