**Numerical Analysis** **(L3)**

Linear Algebra, numerical optimization, discretization of PDE

Supports: N/A

*at Ecole Centrale Lyon, 2022-2023, tronc commun*

**Statistical signal processing ** **(M1)**

Theory of estimation, stationarity, ergodicity. Filtering of random processes.

Supports: N/A

*at CPE Lyon, 2022*

**Convex Optimization for Sparse Approximations** **(Master 2)**

Theory of convex optimization, gradient descent with constant stepsize, proximal gradient and dictionary learning, application to image inpainting.

Supports: [lien]

*at INSA Rennes, 2019-21, parcours 5GM and ENSAI, Smart Data Master*

**Nonnegative Low-rank approximations** **(Doctoral School)**

Theory of nonnegative least squares, algorithms for nonnegative least squares, nonnegative matrix factorization principles and applications.

Supports: [lien]

*at ITwist 2020, Nantes, France*

**Dictionary Learning** **(Master 2)**

Theory of dictionary learning, application to image inpainting.

Supports: https://gitlab.com/cohenjer/tp_insa-5gm_dl

*at INSA Rennes, 2018, parcours 5GM*

**Probability and Statistics (Bachelier 2, L2)**,

sigma-algebra, probability space, random variables,

Markov Chains, Statistic tests*.*

*at Faculté Polytechnique, UMONS, 2018*

**Convex Optimisation for tensor decomposition problems (L3)**,

tensor formalism, alternating constrained and unconstrained optimisation, application to fluorescence spectroscopy.

*at UMONS, 2016*

**Undergraduate Mathematics (L1),**

basic calculus and formalism, linear algebra, continuity and limits, integration.

*at Grenoble-Alpes University, 2014-2015*

CREATIS lab,

Bâtiment Léonard de Vinci

21 Av. Jean Capelle O, 69100 Villeurbanne

mail:
jeremy(dot)cohen(at)cnrs(dot)fr

Jimdo

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