2026
- Validation du simulateur ICI de propagation d’épidémies à l’aide des données publiques recueillies pendant la première vague de la pandémie de COVID-19Feb 2026
- Non-Asymptotic Convergence of Discrete Diffusion Models: Masked and Random Walk dynamicsJan 2026working paper or preprint
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2025
- Faster Latency Constrained Service Placement in Edge Computing with Deep Reinforcement LearningIn IFIP Networking, May 2025
- Design of experiments based on a low fidelity model for seismic fragility curves estimationESAIM: Proceedings and Surveys, Dec 2025
- Reduced Order Modeling for First Order Hyperbolic Systems with Application to Multiparameter Acoustic Waveform InversionSIAM Journal on Imaging Sciences, Apr 2025
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- Taking Advantage of Multiple Scattering for Optical Reflection Tomography2025working paper or preprint
- Wave turbulence, thermalization and multimode locking in optical fibersPhysica D: Nonlinear Phenomena, Nov 2025
- General reproducing properties in RKHS with application to derivative and integral operatorsMar 2025working paper or preprint
- Efficient multi-fidelity Gaussian process regression for noisy outputs and non-nested experimental designsDec 2025working paper or preprint
- A reproducible comparative study of categorical kernels for Gaussian process regression, with new clustering-based nested kernelsSep 2025working paper or preprint
- Surface Waves in Randomly Perturbed Discrete ModelsMultiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, Jan 2025
- Preconditioned Langevin Dynamics with Score-based Generative Models for Infinite-Dimensional Linear Bayesian Inverse ProblemsDec 2025
- Learning signals defined on graphs with optimal transport and Gaussian process regressionMay 2025
- AdaCap: An Adaptive Contrastive Approach for Small-Data Neural NetworksNov 2025working paper or preprint
- CoHiRF: A Scalable and Interpretable Clustering Framework for High-Dimensional DataFeb 2025working paper or preprint
- Federated Majorize-Minimization: Beyond Parameter AggregationJul 2025working paper or preprint
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- Open Problem: Two Riddles in Heavy-Ball DynamicsFeb 2025working paper or preprint
- Refined Analysis of Federated Averaging’s Bias and Federated Richardson-Romberg ExtrapolationJan 2025working paper or preprint
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- Differentiable Expectation-Maximisation and Applications to Gaussian Mixture Model Optimal TransportSep 2025working paper or preprint
- Aligning individual brains with Fused Unbalanced Gromov-WassersteinAug 2025working paper or preprint
- Unsupervised Learning for Optimal Transport plan prediction between unbalanced graphsIn NeurIPS 2025 - 39th Annual Conference on Neural Information Processing Systems, Dec 2025
- SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse ModalitiesTransactions on Machine Learning Research Journal, Jul 2025
- The quest for the GRAph Level autoEncoder (GRALE)In NeurIPS 2025 - Thirty-Ninth Annual Conference on Neural Information Processing Systems, Dec 2025
- Uniform minorization condition and convergence bounds for discretizations of kinetic Langevin dynamicsAnnales de l’Institut Henri Poincaré (B) Probabilités et Statistiques, Feb 2025
- Sensitivity Analysis of Emissions Markets: A Discrete-Time Radner Equilibrium ApproachOct 2025working paper or preprint
- DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient FlowsIn International Conference on Artificial Intelligence and Statistics (AISTATS), Mar 202539 pages, 17 figures. To be published in AISTATS 2025
- Flowing Datasets with Wasserstein over Wasserstein Gradient FlowsIn International Conference on Machine Learning (ICML), Jul 2025Accepted as an oral at ICML2025
- Busemann Functions in the Wasserstein Space: Existence, Closed-Forms, and Applications to Slicing2025working paper or preprint
- Scaffold with Stochastic Gradients: New Analysis with Linear Speed-UpMar 2025working paper or preprint
- Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous AgentsIn Proceedings of The 28th International Conference on Artificial Intelligence and Statistics, May 2025
- On Global Convergence Rates for Federated Policy Gradient under Heterogeneous EnvironmentJul 2025working paper or preprint
2024
- Yet another analysis of the SP500 at-the-money skew: crossover of different power-law behavioursApr 2024working paper or preprint
- State abstraction discovery from progressive disaggregation methodsIn EWLR 2024: 17th European Workshop on Reinforcement Learning, Oct 2024
- Progressive state space disaggregation for dynamic programmingIn ROADEF 2024: 25ème Congrès Annuel de la Société Française de Recherche Opérationnelle et d’aide à la Décision, Mar 2024
- Nouveaux outils d’apprentissage statistiques pour l’imputation et le pronostic en conservationMar 2024Poster
- Real-time diagnosis aid method and decision-support for medical diagnosis to a user of a medical systemJan 2024
- Sensitivity analysis of colored-noise-driven interacting particle systemsPhysical Review E , Oct 2024
- Automated approach for recovering modal components in shallow watersJournal of the Acoustical Society of America, Apr 2024
- Three-Dimensional Random Wave Coupling Along a Boundary and an Associated Inverse ProblemMultiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, Jan 2024
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- Enhanced wave transmission in random media with mirror symmetryProceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Jun 2024
- Uncertainty quantification and global sensitivity analysis of seismic fragility curves using krigingInternational Journal for Uncertainty Quantification, 2024
- Automated approach for source location in shallow waterIn WAVES 2024 - The 16th International Conference on Mathematical and Numerical Aspects of Wave Propagation, Jun 2024
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- ICI Project: Individual-based epidemic propagation simulator based on a Digital TwinIn Health GIS: Spatial Thinking in Applied research 2024, Nov 2024
- Adaptive Importance Sampling Based on Fault Tree Analysis for Piecewise Deterministic Markov ProcessSIAM/ASA Journal on Uncertainty Quantification, Mar 2024
- Compression with Exact Error Distribution for Federated LearningIn Proceedings of Machine Learning Research : International Conference on Artificial Intelligence and Statistics, May 2024
- PEPit: computer-assisted worst-case analyses of first-order optimization methods in PythonMathematical Programming Computation, Aug 2024Reference work for the PEPit package (available at https://github.com/bgoujaud/PEPit)
- Proving Linear Mode Connectivity of Neural Networks via Optimal TransportIn Proceedings of Machine Learning Research, May 2024
- Random features models: a way to study the success of naive imputationIn International Conference on Machine Learning,, Jul 2024
- Sliced-Wasserstein Estimation with Spherical Harmonics as Control VariatesFeb 2024working paper or preprint
- Neural network time-series classifiers for gravitational-wave searches in single-detector periodsClass.Quant.Grav., 2024
- Reconstructing discrete measures from projections. Consequences on the empirical Sliced Wasserstein DistanceComptes Rendus. Mathématique, Nov 2024
- Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applicationsJan 2024working paper or preprint
- Optimal Scaling Results for a Wide Class of Proximal MALA AlgorithmsJan 2024working paper or preprint
- Incentivized Learning in Principal-Agent Bandit GamesIn ICML 2024 - The Forty-First International Conference on Machine Learning, Jul 2024
- Convergence Analysis of Riemannian Stochastic Approximation SchemesJan 202441 pages, 2 figures
- Rosenthal-type inequalities for linear statistics of Markov chainsJan 2024working paper or preprint
- Boost your favorite Markov Chain Monte Carlo sampler using Kac’s theorem: the Kick-Kac teleportation algorithmJan 2024working paper or preprint
- Geodesic slice sampling on Riemannian manifoldsJan 2024working paper or preprint
- On the convergence of dynamic implementations of Hamiltonian Monte Carlo and No U-Turn SamplersJan 2024working paper or preprint
- Quantitative contraction rates for Sinkhorn algorithm: beyond bounded costs and compact marginalsJan 202447 pages, improved presentation of main results, added explicit expression for the exponential convergence rates and added convergence in Wasserstein-one distance
- Score diffusion models without early stopping: finite Fisher information is all you needJan 2024working paper or preprint
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- High order weak approximation of Stochastic Differential Equations for bounded and measurable test functionsMar 2024working paper or preprint
- Deterministic computation of quantiles in a Lipschitz frameworkMay 2024working paper or preprint
- Demographic parity in regression and classification within the unawareness frameworkSep 2024working paper or preprint
- Open Research Challenges for Private Advertising Systems under Local Differential PrivacyIn International Conference on Web Information Systems Engineering -, 2024
- Sliced-Wasserstein Distances and Flows on Cartan-Hadamard ManifoldsJournal of Machine Learning Research, Mar 2024
- Mirror and Preconditioned Gradient Descent in Wasserstein SpaceIn Neural Information Processing Systems (NeurIPS), Dec 2024
- SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD LearningIn The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
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- The Relative Gaussian Mechanism and its Application to Private Gradient DescentIn PMLR, May 2024
2023
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- Procédé de contrôle d’un système et produit programme d’ordinateur associéSep 2023
- A multiscale algorithm for computing realistic image transformations in the LDDMM framework -Application to the modelling of fetal brain growthIn SPIE Medical Imaging, Feb 2023
- Un algorithme multiéchelle pour déformer les objets de façon réalisteapplication à la modélisation de la croissance du cerveau foetalIn https://gretsi.fr/archives/colloque/2023, Aug 2023
- Nouveaux outils d’apprentissage statistiques pour l’imputation et le pronostic en conservationOct 2023working paper or preprint
- Procédé de synthèse d’imagesFeb 2023
- Comparison of meta-learners for estimating multi-valued treatment heterogeneous effectsIn ICML 2023 - Proceedings of the 40th International Conference on Machine Learning, Jul 2023
- Stationary Bragg reflection of laser light in inhomogeneous absorbing plasmas inside inertial confinement fusion HohlraumsPhysics of Plasmas, Dec 2023
- Modélisation fine des dynamiques épidémiques - le projet ICIIn 32e journée de la recherche de l’UGE-IGN-ENSG, Mar 2023
- A Piecewise Deterministic Markov Process Approach Modeling a Dry Friction Problem with NoiseSIAM Journal on Applied Mathematics, Aug 2023
- Conditional score-based diffusion models for Bayesian inference in infinite dimensionsIn Advances in Neural Information Processing Systems (Neurips 2023), Dec 2023
- Multi-Output Gaussian Processes for Inverse Uncertainty Quantification in Neutron Noise AnalysisNuclear Science and Engineering, Aug 2023
- Waveform Inversion with a Data Driven Estimate of the Internal WaveSIAM Journal on Imaging Sciences, Mar 2023
- Computing the diffusivity of a particle subject to dry friction with colored noisePhysical Review E , Oct 2023
- Wave propagation in random media: beyond Gaussian statisticsESAIM: Proceedings and Surveys, Dec 2023
- Fourth-order moments analysis for partially coherent electromagnetic beams in random mediaWaves in Random and Complex Media, Nov 2023
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- Speckle Memory Effect in the Frequency Domain and Stability in Time-Reversal ExperimentsMultiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, Mar 2023
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- Classical wave thermalisation in chaotic multimode optical fibreIn Complex Days, Feb 2023
- Paraxial Wave Propagation in Random Media with Long-Range CorrelationsSIAM Journal on Applied Mathematics, Feb 2023
- Connections between reference prior theory and global sensitivity analysis, an illustration with f-divergencesIn JdS 2023 - 54èmes Journées de Statistique de la SFDS, Jul 2023
- Sharp Spectral Rates for Koopman Operator LearningIn Advances in Neural Information Processing Systems 36 (NeurIPS 2023), Dec 2023
- Naive imputation implicitly regularizes high-dimensional linear modelsIn International Conference on Machine Learning, Jul 2023
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- Counter-Examples in First-Order Optimization: A Constructive ApproachIEEE Control Systems Letters, 2023
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- Convolutional Monge Mapping Normalization for learning on sleep dataIn NeurIPS 2023 - 37th Conference on Neural Information Processing Systems, Dec 2023
- Interpolating between Clustering and Dimensionality Reduction with Gromov-WassersteinIn NeurIPS OTML Workshop, Dec 2023
- SNEkhorn: Dimension Reduction with Symmetric Entropic AffinitiesIn Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS), Dec 2023NeurIPS 2023 conference paper
- Optimal transport for the multi-model combination of sub-seasonal ensemble forecastsIn EGU General Assembly 2023, Apr 2023
- Entropic Wasserstein component analysisIn IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Sep 2023
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- Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein BarycentersIn 37th Conference on Neural Information Processing Systems, 2023
- Non-asymptotic convergence bounds for Sinkhorn iterates and their gradients: a coupling approachIn 36th Annual Conference on Learning Theory, 2023
- Convergence rates and approximation results for SGD and its continuous-time counterpartJan 202394 pages, 4 figures
- Approximate Heavy Tails in Offline (Multi-Pass) Stochastic Gradient DescentIn Neural Information Processing Systems (NeurIPS), Spotlight Presentation, 2023, Dec 2023In Neural Information Processing Systems (NeurIPS), Spotlight Presentation, 2023
- Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte CarloIn 37th Conference on Neural Information Processing Systems, 2023
- Maximum likelihood estimation of regularisation parameters in high-dimensional inverse problems: an empirical Bayesian approach. Part II: Theoretical AnalysisJan 2023SIIMS 2020 - 30 pages
- Tight Regret and Complexity Bounds for Thompson Sampling via Langevin Monte CarloApr 2023
- Convergence of diffusions and their discretizations: from continuous to discrete processes and backJan 2023working paper or preprint
- Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms202358 pages
- Maximum likelihood estimation of regularisation parameters in high-dimensional inverse problems: an empirical Bayesian approach. Part I: Methodology and ExperimentsJan 202337 pages - SIIMS 2020
- Discretization of the Ergodic Functional Central Limit TheoremJournal of Theoretical Probability, Feb 2023
- Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical ProjectionsIn TAG-ML 2023 ICML Workshop, Jul 2023Accepted at the TAG-ML 2023 ICML Workshop
- Fast Optimal Transport through Sliced Wasserstein Generalized GeodesicsIn NeurIPS, Dec 2023Main: 10 pages,4 Figures Tables Supplementary: 19 pages, 13 Figures ,1 Table. Sumbitted to Neurips 2023
- Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG SignalsIn ICML 2023 - 40th International Conference on Machine Learning, Jul 2023Published as a conference paper at ICML2023
- Spherical Sliced-WassersteinIn International Conference on Learning Representations (ICLR), May 2023
- Leveraging Optimal Transport via Projections on Subspaces for Machine Learning ApplicationsNov 2023
- High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate DescentIn Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR, Apr 2023
- Differential Privacy has Bounded Impact on Fairness in ClassificationIn Proceedings of the 40th International Conference on Machine Learning, Jul 202318 pages
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2022
- Contributions to volatility modeling and risk management and to efficient numerical simulation in financeDec 2022
- Wavelet-Based Multiscale Initial Flow For Improved Atlas Estimation in the Large Diffeomorphic Deformation Model FrameworkMar 2022working paper or preprint
- Scintillation of partially coherent light in time-varying complex mediaJournal of the Optical Society of America. A Optics, Image Science, and Vision, 2022
- Estimation of seismic fragility curves by sequential design of experimentsApr 2022working paper or preprint
- System of radiative transfer equations for coupled surface and body wavesZeitschrift für Angewandte Mathematik und Physik = Journal of Applied mathematics and physics = Journal de mathématiques et de physique appliquées, Oct 2022
- Modal formulation and paraxial approximation for acoustic wave propagation in waveguides with surface perturbationsJournal of the Acoustical Society of America, May 2022
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- Importance sampling based active learning for parametric seismic fragility curve estimationJan 2022working paper or preprint
- Super-Acceleration with Cyclical Step-sizesIn Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, PMLR 151:3028-3065, 2022., Mar 202237 pages, 4 figures
- FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare SettingsIn Proceedings of NeurIPS, Nov 2022
- Optimal first-order methods for convex functions with a quadratic upper boundSep 2022working paper or preprint
- Adaptive Conformal Predictions for Time SeriesIn Proceedings of Machine Learning Research, Jul 2022
- QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated LearningIn International Conference on Artificial Intelligence and Statistics, 2022
- Differentially Private Federated Learning on Heterogeneous DataIn Proceedings of The 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
- Near-optimal rate of consistency for linear models with missing valuesIn International Conference on Machine Learning,, Jul 2022
- Time Series Alignment with Global InvariancesTransactions on Machine Learning Research Journal, Oct 2022
- Provably Convergent Working Set Algorithm for Non-Convex Regularized RegressionIn International Conference on Artificial Intelligence and Statistics, 2022
- Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selectionMay 2022The authors would like to acknowledge the company Zéphyr ENR, and especially its CEO Christian Briard, for providing the data from its wind farms.
- Multi-source Domain Adaptation via Weighted Joint Distributions Optimal TransportIn Conference on Uncertainty in Artificial Intelligence (UAI), Aug 2022
- Wasserstein Adversarial Regularization for learning with label noiseIEEE Transactions on Pattern Analysis and Machine Intelligence, Oct 2022
- Template based Graph Neural Network with Optimal Transport DistancesIn NeurIPS 2022 – 36th Conference on Neural Information Processing Systems, Nov 2022
- Semi-relaxed Gromov-Wasserstein divergence for graphs classificationIn Colloque GRETSI 2022 - XXVIIIème Colloque Francophone de Traitement du Signal et des Images, Sep 2022
- Learning to Predict Graphs with Fused Gromov-Wasserstein BarycentersIn Proceedings of Machine Learning Research (PMLR), Jul 2022
- Aligning individual brains with Fused Unbalanced Gromov-WassersteinIn NeurIPS 2022 - Conference on Neural Information Processing Systems, Nov 2022
- Semi-relaxed Gromov Wasserstein divergence with applications on graphsIn ICLR 2022 - 10th International Conference on Learning Representations, Apr 2022preprint under review
- Local-Global MCMC kernels: the best of both worlds2022arXiv admin note: text overlap with arXiv:1111.5421 by other authors
- Sticky nonlinear SDEs and convergence of McKean-Vlasov equations without confinementJan 2022working paper or preprint
- A Proximal Markov Chain Monte Carlo Method for Bayesian Inference in Imaging Inverse Problems: When Langevin Meets MoreauSIAM Review, Nov 2022
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- Efficient Gradient Flows in Sliced-Wasserstein SpaceTransactions on Machine Learning Research Journal, Dec 2022Published in Transactions on Machine Learning Research (November 2022)
- Spherical Sliced-WassersteinNov 2022working paper or preprint
- Efficient Gradient Flows in Sliced-Wasserstein SpaceNov 2022Published in Transactions on Machine Learning Research (November 2022)
- Differentially Private Coordinate Descent for Composite Empirical Risk MinimizationIn Proceedings of the 39th International Conference on Machine Learning, Jul 2022
2021
- VP17.02: Description and clinical validation of a real-time AI diagnostic companion for fetal ultrasound examinationIn ISUOG 2021 - 31st World Congress on Ultrasound in Obstetrics and Gynecology, Oct 2021
- Causal and Interpretable Rules for Time Series AnalysisIn KDD ’21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Aug 2021
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- Optimal potential functions for the interacting particle system methodMonte Carlo Methods and Applications, Jun 2021
- Incoherent localized structures and hidden coherent solitons from the gravitational instability of the Schrödinger-Poisson equationPhysical Review E , 2021
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- Imaging in Random Media by Two-Point Coherent InterferometrySIAM Journal on Imaging Sciences, Jan 2021
- Wave Propagation in Periodic and Random Time-Dependent MediaMultiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, Jan 2021
- Enhanced Backscattering of a partially coherent field from an anisotropic random lossy mediumDiscrete and Continuous Dynamical Systems - Series B, 2021
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- Weak Langmuir turbulence in disordered multimode optical fibersNov 2021working paper or preprint
- Coherent Soliton States Hidden in Phase Space and Stabilized by Gravitational Incoherent StructuresPhysical Review Letters, 2021
- Onset of energy equipartition among surface and body wavesProceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Feb 2021
- Differentially Private Federated Learning on Heterogeneous DataDec 2021working paper or preprint
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- Factored couplings in multi-marginal optimal transport via difference of convex programmingOct 2021working paper or preprint
- Semi-relaxed Gromov Wasserstein divergence with applications on graphsOct 2021preprint under review
- DISCRETE STICKY COUPLING OF FUNCTIONAL AUTOREGRESSIVE PROCESSESApr 2021working paper or preprint
- On the Stability of Random Matrix Product with Markovian Noise: Application to Linear Stochastic Approximation and TD LearningIn Conference on Learning Theory, 15-19 August 2021, Boulder, Colorado, USA, Aug 2021
- Tournesol: A quest for a large, secure and trustworthy database of reliable human judgmentsOct 2021working paper or preprint
- Maximum Likelihood Estimation of Sparse Networks with Missing ObservationsApr 2021We derive a variational approximation to the maximum likelihood estimator of the connection probabilities. We bound the risk of this tractable estimator.
- Sliced-Wasserstein Gradient FlowsNov 2021working paper or preprint
2020
- Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic ApplicationIn ICAART 2020 - 12th International Conference on Agents and Artificial Intelligence, Feb 2020
- Adaptive predictive-questionnaire by approximate dynamic-programmingIn Workshop on User-Centered Artificial Intelligence, Sep 2020
- Challenging common bolus advisor for self-monitoring type-I diabetes patients using Reinforcement LearningIn 2020 KDD Workshop on Applied Data Science for Healthcare, Aug 2020
- Multimode communication through the turbulent atmosphereJournal of the Optical Society of America. A Optics, Image Science, and Vision, 2020
- Optimal Hedging Under Fast-Varying Stochastic VolatilitySIAM Journal on Financial Mathematics, Jan 2020
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- Wave Propagation in Randomly Perturbed Weakly Coupled WaveguidesMultiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, Jan 2020
- High-Resolution Interferometric Synthetic Aperture Imaging in Scattering MediaSIAM Journal on Imaging Sciences, Jan 2020
- How a moving passive observer can perceive its environment ? The Unruh effect revisitedWave Motion, Jan 2020
- An efficient dimension reduction for the Gaussian process emulation of two nested codes with functional outputsComputational Statistics, Sep 2020
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- Artemis: tight convergence guarantees for bidirectional compression in heterogeneous settings for federated learningJun 2020working paper or preprint
- Debiasing Stochastic Gradient Descent to handle missing valuesIn NeurIPS 2020 - 34th Conference on Neural Information Processing Systems, Dec 2020
- On Convergence-Diagnostic based Step Sizes for Stochastic Gradient DescentIn Proceedings of Machine Learning Research, Jul 2020
- CO-Optimal TransportIn Neural Information Processing Systems (NeurIPS), Dec 2020
- Learning with minibatch Wasserstein : asymptotic and gradient propertiesIn AISTATS 2020 - 23nd International Conference on Artificial Intelligence and Statistics, Jun 2020
- Contextual Semantic InterpretabilityIn ACCV (Asian Conference on Computer Vision), Dec 2020
- Approximate Bayesian computation with the sliced-Wasserstein distanceIn 45th International Conference on Acoustics, Speech, and Signal Processing, May 2020
- Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach Part I: Methodology and ExperimentsSIAM Journal on Imaging Sciences, Nov 2020
- Irreducibility and geometric ergodicity of Hamiltonian Monte CarloAnnals of Statistics, Dec 2020
- Quantitative Propagation of Chaos for SGD in Wide Neural NetworksIn Advances in Neural Processing Systems, 2020
- Statistical and Topological Properties of Sliced Probability DivergencesIn Advances in Neural Processing Systems, 2020
- Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach. Part II: Theoretical AnalysisSIAM Journal on Imaging Sciences, Nov 2020
- Convergence Analysis of Riemannian Stochastic Approximation SchemesMay 2020working paper or preprint
- Metropolized flow: from invertible flow to mcmcJul 2020
- Le machine learning et les sciences sociales à l’épreuve des échelles de complexité algorithmiqueRevue d’Anthropologie des Connaissances, Mar 2020Publication en ligne
2019
- Wave Propagation and Imaging in Moving Random MediaMultiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, Jan 2019
- Application of the interacting particle system method to piecewise deterministic Markov processes used in reliabilityChaos: An Interdisciplinary Journal of Nonlinear Science, Jun 2019
- Option pricing under fast-varying long-memory stochastic volatilityMathematical Finance, Jan 2019
- Uncertainty analysis methodology for multi-physics coupled rod ejection accidentIn International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2019), Aug 2019
- Mean field model for collective motion bistabilityDiscrete and Continuous Dynamical Systems - Series B, 2019
- Efficient sequential experimental design for surrogate modeling of nested codesESAIM: Probability and Statistics, May 2019
- Chaos and order in the bitcoin marketPhysica A: Statistical Mechanics and its Applications, Jun 2019
- Sound Propagation in a Weakly Turbulent Flow in a WaveguideSIAM Journal on Applied Mathematics, Jan 2019
- Acoustic and geoacoustic inverse problems in randomly perturbed shallow-water environmentsJournal of the Acoustical Society of America, Jul 2019
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- Unsupervised Scalable Representation Learning for Multivariate Time SeriesIn Advances in Neural Information Processing Systems, Dec 2019
- Unsupervised variable selection for kernel methods in systems biologyIn Journée Régionale de Bioinformatique et Biostatistique, Génopole Toulouse, Oct 2019
- Pushing the right boundaries matters! Wasserstein Adversarial Training for Label NoiseJul 2019working paper or preprint
- Optimal Transport for structured data with application on graphsIn ICML 2019 - 36th International Conference on Machine Learning, Jun 2019
- Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical propertiesJul 2019working paper or preprint
- Optimal Transport for Multi-source Domain Adaptation under Target ShiftIn 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019, Apr 2019
- Sliced Gromov-WassersteinIn NeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Dec 2019
- Analysis of Langevin Monte Carlo via convex optimizationJournal of Machine Learning Research, 2019
- Copula-like Variational Inference201933rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada
- Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and DiffusionsIn ICML 2019 - 36th International Conference on Machine Learning, Jun 2019
- Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein DistanceIn NeurIPS 2019, Dec 2019
- Recursive computation of the invariant distributions of Feller processes: Revisited examples and new applicationsMonte Carlo Methods and Applications, Mar 2019
- Approximation of Markov semigroups in total variation distance under an irregular setting: An application to the CIR processStochastic Processes and their Applications, 2019
2018
- Une nouvelle représentation de la polysomnographie par technique de machine learning non superviséeMédecine du sommeil, Mar 2018
- Variational methods for tomographic reconstruction with few viewsMilan Journal of Mathematics, 2018
- Machine learning methods to identify ICMEs automaticallyApr 2018Poster
- Automatic detection of ICMEs at 1 AU : a deep learning approachDec 2018Poster
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- Adaptive estimation in the nonparametric random coefficients binary choice model by needlet thresholdingElectronic Journal of Statistics , 2018
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- Laser Beam Imaging from the Speckle Pattern of the Off-Axis Scattered IntensitySIAM Journal on Applied Mathematics, Jan 2018
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- Layer potential approach for fast eigenvalue characterization of the Helmholtz equation with mixed boundary conditionsComputational & Applied Mathematics, Sep 2018
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- Imaging through a scattering medium by speckle intensity correlationsInverse Problems, Sep 2018
- Learning Wasserstein EmbeddingsIn ICLR 2018 - 6th International Conference on Learning Representations, Apr 2018
- Straylight analysis for the externally occulted Lyot solar coronagraph ASPIICSIn Space Telescopes and Instrumentation 2018: Optical, Infrared, and Millimeter Wave, Jun 2018
- French SKA White Book - The French Community towards the Square Kilometre Array2018Original file with high resolution figures at SKA-France link: https://ska-france.oca.eu/images/SKA-France-Media/FWB_051017.pdfEditor in chief: C. Ferrari; Editors: M. Alves, S. Bosse, S. Corbel, A. Ferrari, K. Ferrière, S. Gauffre, E. Josselin, G. Lagache, S. Lambert, G. Marquette, J.-M. Martin, M.-A. Miville-Deschênes, L. Montier, B. Semelin, G. Theureau, S. Vergani, N. Vilmer, P. Zarka;
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- Large-Scale Optimal Transport and Mapping EstimationIn ICLR 2018 - International Conference on Learning Representations, Apr 201815 pages, 4 figures. To appear in the Proceedings of the International Conference on Learning Representations (ICLR) 2018
- DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain AdaptationIn LNCS, Sep 2018European Conference on Computer Vision 2018 (ECCV-2018)
- The promises and pitfalls of Stochastic Gradient Langevin DynamicsIn NeurIPS 2018 (Advances in Neural Information Processing Systems 2018), Dec 2018
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- Supplement to ”High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm”Jul 2018working paper or preprint
2017
- Adaptive estimation in the nonparametric random coefficients binary choice model by needlet thresholdingNov 2017working paper or preprint
- Clustering and Model Selection via Penalized Likelihood for Different-sized Categorical Data VectorsSep 2017working paper or preprint
- Multi-Wave Medical Imaging: Mathematical Modelling and Imaging Reconstruction2017
- A numerical study of super-resolution through fast 3D wideband algorithm for scattering in highly-heterogeneous mediaWave Motion, Apr 2017
- Transport of power in random waveguides with turning pointsCommunications in Mathematical Sciences, 2017
- Polarization domain walls in optical fibres as topological bits for data transmissionNature Photonics, Feb 2017
- Correction to Black–Scholes Formula Due to Fractional Stochastic VolatilitySIAM Journal on Financial Mathematics, Jan 2017
- Ambient noise correlation-based imaging with moving sensorsInverse Problems and Imaging , Jun 2017
- Resolution Analysis of Passive Synthetic Aperture Imaging of Fast Moving ObjectsSIAM Journal on Imaging Sciences, Jan 2017
- Incoherent Fermi-Pasta-Ulam Recurrences and Unconstrained Thermalization Mediated by Strong Phase CorrelationsPhysical Review X, Mar 2017
- Matched-Filter and Correlation-Based Imaging for Fast Moving Objects Using a Sparse Network of ReceiversSIAM Journal on Imaging Sciences, Jan 2017
- Mathematical modelling of the electric sense of fish: the role of multi-frequency measurements and movementBioinspiration and Biomimetics, Apr 2017
- Pulse Reflection in a Random Waveguide with a Turning PointMultiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, Jan 2017
- Origins of spectral broadening of incoherent waves: Catastrophic process of coherence degradationPhysical Review A : Atomic, molecular, and optical physics [1990-2015], Aug 2017
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- Focusing Waves Through a Randomly Scattering Medium in the White-Noise Paraxial RegimeSIAM Journal on Applied Mathematics, Mar 2017
- Emergence of long-range phase coherence in nonlocal fluids of lightPhysical Review A : Atomic, molecular, and optical physics [1990-2015], Jun 2017
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- Harder, Better, Faster, Stronger Convergence Rates for Least-Squares RegressionJournal of Machine Learning Research, Oct 2017
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- Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parametersIn 2017 25th European Signal Processing Conference (EUSIPCO), Aug 2017
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- Parallelized Stochastic Gradient Markov Chain Monte Carlo Algorithms for Non-Negative Matrix FactorizationIn Proc. 42nd International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar 2017
- Nonasymptotic convergence analysis for the unadjusted Langevin algorithmThe Annals of Applied Probability, Jun 2017
- Sampling from a log-concave distribution with compact support with proximal Langevin Monte CarloProceedings of Machine Learning Research, 2017
- Convergence in total variation distance of a third order scheme for one-dimensional diffusion processesMonte Carlo Methods and Applications, Jan 2017
- L’impact de la crise financière sur la performance de la politique monétaire conventionnelle de la zone euroRevue Economique, 2017
- Optional realization of the French negative particule (ne) on Twitter: Can big data reveal new sociolinguistic patterns?In ICLAVE 9 2017 - International Conference on Language Variation in Europe, Jun 2017
2016
- Passive Imaging with Ambient Noise.Jan 2016
- Universal polarization domain walls in optical fibers as topological bit-entities for data transmissionIn Australian Conference on Optical Fibre Technology, 2016
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- Introduction to optimization with applications in astronomy and astrophysicsJul 2016working paper or preprint
- Supervised Planetary Unmixing with Optimal TransportIn WHISPERS 8th workshop on Hyperspectral image and Signal Processing: Evolution in Remote Sensing, Aug 2016
- Optimal spectral transportation with application to music transcriptionIn Advances in Neural Information Processing Systems (NIPS), Dec 2016
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- Toward privacy-preserving diffusion strategies for adaptation and learning over networksIn 2016 24th European Signal Processing Conference (EUSIPCO), Aug 2016
- Mathematical Tools for Instrumentation & Signal Processing in AstronomySep 2016
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- Non-convex regularization in remote sensingIEEE Transactions on Geoscience and Remote Sensing, Jun 2016
- Mapping Estimation for Discrete Optimal TransportIn Advances in Neural Information Processing Systems 29, Dec 2016
- DC Proximal Newton for Non-Convex Optimization ProblemsIEEE Transactions on Neural Networks, 2016
- Non-asymptotic convergence analysis for the Unadjusted Langevin AlgorithmDec 2016working paper or preprint
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- High-dimensional Bayesian inference via the Unadjusted Langevin AlgorithmDec 2016working paper or preprint
- Stochastic Gradient Richardson-Romberg Markov Chain Monte CarloIn Proceedings of the 30th Annual Conference on Neural Information Processing Systems (NIPS), Dec 2016
- Approximation of Markov semigroups in total variation distanceElectronic Journal of Probability, Jan 2016
2015
- Transmission and reflection of electromagnetic waves in randomly layered mediaCommunications in Mathematical Sciences, 2015
- Signal to noise ratio analysis in virtual source array imagingSIAM Journal on Imaging Sciences, 2015
- Mathematical Methods in Elasticity Imaging2015
- Super-resolution in time-reversal focusing on a moving sourceWave Motion, 2015
- Detection, reconstruction, and characterization algorithms from noisy data in multistatic wave imagingDiscrete and Continuous Dynamical Systems - Series S, 2015
- A quantitative study of source imaging in random waveguidesCommunications in Mathematical Sciences, 2015
- Asymptotic analysis of the learning curve for Gaussian process regressionMachine Learning, 2015
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- Discrimination périodique à partir d’observations multi-temporellesSep 2015A4.2 - Analyse d’images: Session Poster
- Analysis of multi- temporal classification techniques for forecasting image time seriesIEEE Geoscience and Remote Sensing Letters, 2015
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2014
- Mixture of Gaussian regressions model with logistic weights, a penalized maximum likelihood approachElectronic Journal of Statistics , Sep 2014
- L’art de couper les têtes sans faire malInterstices, Jun 2014
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- Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelityInternational Journal for Uncertainty Quantification, 2014
- Resolution enhancement from scattering in passive sensor imaging with cross correlationsInverse Problems and Imaging , 2014
- Impact of self-steepening on incoherent dispersive spectral shocks and collapse-like spectral singularitiesPhysical Review A : Atomic, molecular, and optical physics [1990-2015], 2014
- Wave backscattering by point scatterers in the random paraxial regimeMultiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, 2014
- Optical wave turbulence: Toward a unified nonequilibrium thermodynamic formulation of statistical nonlinear opticsPhysics Reports, 2014
- Applications of random matrix theory for sensor array imaging with measurement noiseIn Random Matrix Theory, Interacting Particle Systems, and Integrable Systems, 2014Mathematical Sciences Research Institute Publications
- Shape recognition and classification in electro-sensingProceedings of the National Academy of Sciences of the United States of America, 2014
- Medium induced resolution enhancement for broadband imagingInverse Problems, 2014
- Computer-aided diagnostic system for prostate cancer detection and characterization combining learned dictionaries and supervised classificationIn Image Processing (ICIP), 2014 IEEE International Conference on, Oct 2014
- Active set strategy for high-dimensional non-convex sparse optimization problemsIn ICASSP - IEEE International Conference on Acoustics Speech and Signal Processing, May 2014
- Optimal transport with Laplacian regularizationIn NIPS 2014, Workshop on Optimal Transport and Machine Learning, Dec 2014
- A group-lasso active set strategy for multiclass hyperspectral image classificationIn Proceedings of Photogrammetric Computer Vision (PCV), Sep 2014Best Paper Award
- Kernel-Based Learning From Both Qualitative and Quantitative Labels: Application to Prostate Cancer Diagnosis Based on Multiparametric MR ImagingIEEE Transactions on Image Processing, Mar 2014
- Large Scale Sparse Optimization for Object Detection in High Resolution ImagesIn MLSP - 24th IEEE Workshop on Machine Learning for Signal Processing, Sep 2014
- Optimal transport for Domain adaptationIn NIPS 2014, Workshop on Optimal Transport and Machine Learning, Dec 2014
- SVM with feature selection and smooth prediction in images: Application to CAD of prostate cancerIn Image Processing (ICIP), 2014 IEEE International Conference on, Oct 2014
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- Optimization of starshades: focal plane versus pupil planeAstronomy & Astrophysics - A&A, Jul 2014
- Quantitative bounds of convergence for geometrically ergodic Markov chain in the Wasserstein distance with application to the Metropolis Adjusted Langevin AlgorithmStatistics and Computing, Sep 2014
2013
- Régression gaussienne à poids logistiques et maximum de vraisemblance pénaliséIn JDS-45e Journées de Statistique, May 2013
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- Gaussian Mixture Regression model with logistic weights, a penalized maximum likelihood approachApr 2013
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- DETECTION OF HIGH AND LOW STATES IN STOCK MARKET RETURNS WITH MCMC METHOD IN A MARKOV SWITCHING MODELJul 2013working paper or preprint
2012
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- Discovering relevant spatial filterbanks for VHR image classificationIn ICPR Proceedings, Nov 2012
- Ring-LWE in polynomial ringsIn PKC 2012 - International Conference on Practice and Theory in Public Key Cryptography, May 2012
2011
- Conditional Density Estimation by Penalized Likelihood Model Selection and ApplicationsApr 2011
- Segmentation non supervisée d’image hyperspectrale par mélange de gausiennes spatialiséIn GRETSI 2011, Sep 2011
- Nuclear-norm penalization and optimal rates for noisy low-rank matrix completionAnnals of Statistics, 2011
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- PAC-Bayesian Theorems for Sparse Regression Estimation with Exponential WeightsElectronic Journal of Statistics , 2011http://imstat.org/ejs/
- Selecting from an infinite set of features in SVMIn European Symposium on Artificial Neural Networks, Apr 2011
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- \ell_p-\ell_q penalty for sparse linear and sparse multiple kernel multi-task learning,IEEE Transactions on Neural Networks, 201113
- Spoken WordCloud: Clustering Recurrent Patterns in SpeechIn International Workshop on Content-Based Multimedia Indexing, Jun 2011Dynamic Time warping, Multimedia indexing, speech processing
- Handling uncertainties in SVM classificationIn IEEE Workshop on Statistical Signal Processing, Jun 2011
2010
- Inversion of noisy Radon transform by SVD based needletApplied and Computational Harmonic Analysis, 2010
- An aggregated point of view on NL-Means2010Modélisation Statistique des Images
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- PAC-Bayesian Bounds for Sparse Regression Estimation with Exponential WeightsAug 2010working paper or preprint
- Filtrage vaste marge pour l’étiquetage séquentiel à noyaux de signauxIn Conférence Francophone sur l’Apprentissage Automatique, May 2010
- Learning spatial filters for multispectral image segmentation.In Machine Learning for Signal Processing, Aug 2010
2009
- Agrégation d’estimateurs pour le débruitage d’imageIn 41èmes Journées de Statistique, SFdS, Bordeaux, 2009
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- Sélection de variables pour l’apprentissage simultanée de tâchesIn 11e Conférence d’Apprentissage, May 2009
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2008
- High-dimensional stochastic optimization with the generalized Dantzig estimatorNov 2008working paper or preprint
- Sup-norm convergence rate and sign concentration property of Lasso and Dantzig estimatorsJan 2008working paper or preprint
2007
- Débruitage géométrique d’images dans des bases orthonormées de bandelettesIn Actes du Gretsi’07, Sep 2007
- Geometric Estimation with Orthogonal Bandlet BasesIn Proceedings of SPIE, the International Society for Optical Engineering, Aug 2007
- Generalized mirror averaging and D-convex aggregationMathematical Methods of Statistics, 2007