PEYRE Gabriel
Topics of productions
- Metric measure spaces
- Spectral theory
- Sparse Approximation
- Model consistency
- Wasserstein distances
- Blind deblurring
- Random phase textures
- Inpainting
- Bayesian estimation
- Conditional gradient
- Measure projection
- Curve evolution
- Bounded Hessian functions
- Magnetic resonance imaging
- Mathematical modelling
- RKHS
- Calculus of variations
- Shape preservation
- Mathematiques appliquées
- 16
- Component separation
- Polyhedral regularization
- LC-MS
- Proximal method
- Wasserstein inverse problem
- Sensitivity
- Non-negativity
- Shape registration
- Dictionary Learning
- NMF
- Supervised learning (artificial intelligence)
- Optimal Control
- Weak convergence
- Nonlocal second order operators
- Exact support recovery
- Motion perception
- 2m order PDE
- Barycentres
- Kirchhoff equation
- Anisotropic operator
- Restoration
- Geometry
- Analytical skeleton
- Inverse problem
- Parameter selection
- Exact continuous relaxations
- Voltage sensitive dye optical imaging
- Convex regularization
- Compressed Sensing
- Monotone inclusion
- MA-TIRF microscopy
- Bregman projection
- Orientation maps
- Quaternion Fourier transform
- Supergradient method
- Sparse component separation
- Structured sparsity
- Proximal splitting
- Wasserstein distance
- Line detection
- Plasmonics
- Gradient flow
- Sparse optimization
- JKO flow
- Superresolution
- Sparse regression
- BV 2-curves
- Machine Learning
- Model selection criteria
- Computational fluid dynamic
- Radon transform
- Wigner function
- Sparse coding
- Local variation
- Planar shape
- Quantization
- Machine learning
- Dictionary learning
- Fourier analysis
- Gradient domain fusion
- Bivariate signal
- Douglas-Rachford/ADMM Partial Smoothness
- Finsler space
- Wasserstein barycenter
- Shapes
- Low-rank
- Fluorescence microscopy
- Neuroimaging
- Gromov-Wasserstein
- Compressed sensing
- Lasso
- BSS
- Forward-Backward splitting
- Barycentric coordinates
- Super-resolution
- Learned atom
- Regularization
- Signal processing
- Displacement interpolation
- Computational Anatomy
- Texture mixing
- No-reference sharpness assessment
- Douglas–Rachford
- Random fields
- Minimizers equivalence
- Linear Convergence
- Mixture of factor analyzers
- Total variation
- Fine structures detection
- Functional inequalities
- Manifold
- Nonparametric estimation
- Elliptic approximations
- Risk estimation
- Analysis regularization
- Entropy
- Union of subspaces
- Variational methods
- Sinkhorn algorithm
- Computational anatomy
- Wavelet transform
- Super-Resolution
- Asymptotic analysis
- Kullback-Leibler divergence
- Polarization
- Blood vessels
- SURE
- Degrees of freedom
- Voltage-sensitive dye optical imaging
- Douglas–Rachford splitting
- L1 minimization
- Geodesic metric space
- Inverse problems
- Dynamic textures
- Partial smoothness
- First-Order algorithms
- Crowd motion
- Entropic regularization
- Identification · Local Linear Convergence
- Gradient flows
- Multivariate data
- Sparse regularization
- Manifold learning
- Approximation
- Space of oscillatroy functions
- Gaussian process
- Sparse decomposition
- Regularization path
- Bayesian inference
- Wavelets
- Matrix factorization
- Noisy data
- Regularization theory
- Model selection
- Unbiased risk estimation
- Chambolle-pock
- Hypothesis testing
- Ciarlet-Geymonat materials
- Hierarchical models
- Optimal transportation
- Forward-backward algorithm
- Waves
- L1 splines
- GSURE
- Finite Element Method
- Saint-Venant-Kirchoff materials
- Wavelet leaders
- Statistical image modeling
- Partial Smoothness
- Nanoparticles
- Deformation
- Plasmonic nanoparticles
- Calculus of variation
- Speed discrimination
- Mumford-Shah functionnal
- Sparsity
- Regularized optimal transport
- Basis pursuit
- Non-convex optimization
- Local Linear Convergence
- Likelihood functionals
- Gaussian random fields
- $\Gamma$-convergence
- Finite Activity Identification
- Active contours
- Optimal Transport
- Wasserstein barycenters
- Exemplar-based synthesis
- Sparse Signal Processing
- Krasnosel'skii–Mann iteration
- Image processing
- Radon measure
- Splitting
- Large-Scale
- Sensitivity analysis
- Kulback-Leibler divergence
- Persistence diagrams
- 3D reconstruction
- Primal-Dual splitting
- Barrel cortex
- Multifractal analysis
- Gamma-Convergence
- Segmentation
- Point Spread Function
- O-minimal structures
- Partly smooth function
- Image segmentation
- Asymptotic regularity
- Augmented Lagrangian method
- Deconvolution
- Fitting
- Geodesic
- First-order optimization
- Synthesis regularization
- Sampling
- Texture analysis
- Sparse reconstruction
- Low complexity prior
- Sensory cortical dynamics
- Learning method
- Hard thresholding
- Dykstra’s algorithm
- Electroencephalography (EEG)
- Fine structures
- Regression
- 3D geometric modeling
- Image registration
- ISTA/FISTA
- Gravitational waves
- Histological sections
- Multi scale
- Robust iterative closest point
- High-dimensional estimation
- Fused Lasso
- Noise robustness
- Optimization
- Quasi-Convexity
- Contour completion
- Voltage sensitive dye imaging
- ADMM
- Texture modelling
- Texture synthesis
- Local
- Registration
- Contraction
- Minimal path
- Eikonal partial differential equation
- Riemannian meric
- Semi-algebraic sets
- Euler elastica curve
- Supervised learning
- Traitement du signal et de l'image
- Quantum homodyne tomography
- Cerebral vascular network Stokes Equations
- Fractional Sobolev spaces
- Imaging
- Inertial Methods
- Robustness
- Vessel segmentation
- Convergence rates ·
- Optimal transport
- Spectral analysis
- Finsler metric
- Variational models
- Finite Activity
- Gaussian graphical models
- Blood flow simulation
- Quasi-linear problems
- Variational regularization
- Exemplar based texture synthesis
- Gaussian model
- Indexing
- Image patches
- Ast marching method
- Convex optimization
- Exponential weighted aggregation
- Neumann Poincaré operator
- Non-linear elasticity
- Convergence rates
- Ultrasound
- Anisotropic random fields
- Tangent fields
- Non-expansive operator
- Sinkhorn's algorithm
- Anisotropic texture
- Low-complexity prior
- Consistency
- Active sets
- Penalized estimation
- Color transfer
- Topological data analysis
- Langevin diffusion
- Oracle inequality
- Layer potentials
- Plasmonic resonances
- Linear filtering
- Visual stimulation
- Tensor field processing
- Neurons
- Convex analysis
- Applications in imaging and machine learning
- Parameters estimation
- Spectroscopy
- Inverse Bayesian inference
- Relative entropy
- Curvature penalty
- Algorithms
- Orientation selectivity
- Geodesics
- Nonnegative measures
- Group Lasso
- Matching
- Extracellular recordings
- Information geometry
- Forward–Backward
- Heteroscedasticity
- Shape Space
- Functional connectivity
- Deformable models
- Elliptical equation
- Barycenters
- Nonlinear registration
- Proximal
- Threshold selection
- Astigmatism
- Path planning
- Statistical signal processing
- Time-frequency analysis
- Non-Linear filtering
- Safe screening rules
- Double-Helix
- First-order splitting algorithms
- Nonsmooth optimization
- Frank-Wolfe algorithm
- Positive measures
- Variance estimation
- Magnetoencephalography (MEG)
- Navier-Stokes equations
- Acceleration
- Hyperelasticity
- Growth Models
- Blake-Zisserman functionnal
- Nonlocal characterization of weighted total variation
- Ma-Tirf
- Heat kernel
- Augmented Lagrangian
- Deep learning
- Topological gradient
- Joint models
- Monogenic wavelet
- Tempered distributions
- Weak viscosity solutions
- Vesselness
- Blasso
- Weyl's law
- Phase coherence indices
- Pca
- Wasserstein space
- Non-parametric minimax estimation
- Barycenter
- Adaptive estimation
- Statistical analysis
- Bayesian Modelling
- Psychophysics
- Stochastic Par-tial Differential Equations
- Frank-wolfe
- Quantum state
- Electrical impedance tomography
- High dimensional statistics
- Barycenter of measures
- Radon
- L 2 and L∞ Risks
- Sliding window algorithm
- Calibrable set
- IRMf
- In
- Staggered grid
- SDP relaxations
- Mathematicians awarded by the Academy of Sciences 2017
- Wasserstein
- Metric spaces
- Martingale
- Convexity
- L0-norm
- Stochastic optimization
- Sparse deconvolution
- Palm/storm
- Perception
- Active set
- Motion
- Non-linear diffusion
- Fisher-Rao
- Denoising
- Generalized Gaussian Distributions
- Image compression
- Baillon-Haddad inequality
- Riemannian Langevin Monte Carlo
- Hessian manifold
- Image processing — Numerical methods
- Convergence of nonnegative measures
- Neural networks
- Mirror descent
- Compression
- Relative smoothness
- Bregman divergence
- Primal-dual splitting
- Spot noise
- Microscope calibration
- Moreau envelope
- Structured data
- Tubular structure segmentation
- Efficiency
- Big data
- Deep Learning
Affiliations
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2014 - 2021Département de mathématiques et applications de l'ENS
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2015 - 2021Centre national de la recherche scientifique
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2013 - 2019Avancées en calcul numérique des variations
-
2014 - 2019Centre de recherche Inria de Paris
-
2004 - 2018Centre de recherches en mathématiques de la décision
-
2012 - 2016Université Paris-Dauphine
-
2004 - 2005Ecole Polytechnique
- 2021
- 2020
- 2019
- 2017
- 2015
- 2014
- 2013
Affiliations are detected from the signatures of publications identified in scanR. An author can therefore appear to be affiliated with several structures or supervisors according to these signatures. The dates displayed correspond only to the dates of the publications found. For more information, see https://scanr.enseignementsup-recherche.gouv.fr