________________________________________________________

Journal papers

  1. R. Duarte, A. Repetti, P. A. Gómez, M. Davies, and Y. Wiaux.
    Greedy Approximate Projection for Magnetic Resonance Fingerprinting with Partial Volumes. Submitted, July 2018. [pdf]

  2. A. Lyons, A. Boccolini, F. Tonolini, A. Repetti, Z. Chen, R. Henderson, Y. Wiaux, and D. Faccio.
    Computational time-of-flight diffuse optical tomography. Submitted, July 2018. [pdf]

  3. A. Repetti, M. Pereyra, and Y. Wiaux.
    Scalable Bayesian uncertainty quantification in imaging inverse problems via convex optimization. Submitted, March 2018. [pdf]

  4. M. Pesce, A. Repetti, Anna Auría, Alessandro Daducci, Jean-Philippe Thiran, and Y. Wiaux.
    Fast Fiber Orientation Estimation in Diffusion MRI from kq-Space Sampling and Anatomical Priors. Submitted, Feb. 2018. [pdf]

  5. J. Birdi, A. Repetti, and Y. Wiaux.
    Sparse interferometric Stokes imaging under polarization constraint (Polarized SARA). Monthly Notices of the Royal Astronomical Society, vol. 478, no. 4, pp. 4442-4463, Aug. 2018. [pdf]

  6. A. Repetti, J. Birdi, A. Dabbech, and Y. Wiaux.
    Non-convex optimization for self-calibration of direction-dependent effects in radio interferometric imaging. Monthly Notices of the Royal Astronomical Society, vol. 470, no. 4, pp. 3981-4006, Oct. 2017. [pdf]

  7. J. Birdi, A. Repetti, and Y. Wiaux.
    A regularized tri-linear approach for optical interferometric imaging. Monthly Notices of the Royal Astronomical Society, vol. 468, no. 1, pp. 1142-1155, Feb. 2017. [pdf]

  8. A. Onose, R. E. Carrillo, A. Repetti, J. D. McEwen, J.-P. Thiran, J.-C. Pesquet, and Y. Wiaux.
    Scalable splitting algorithms for big-data interferometric imaging in the SKA era. Monthly Notices of the Royal Astronomical Society, vol. 462, no. 4, pp. 4314-4335, Aug. 2016. [pdf]

  9. E. Chouzenoux, J.-C. Pesquet and A. Repetti.
    A Block Coordinate Variable Metric Forward-Backward Algorithm. J. Global Optim, vol. 66, no. 3, pp. 457-485, Nov. 2016. [pdf]

  10. J.-C. Pesquet and A. Repetti.
    A Class of Randomized Primal-Dual Algorithms for Distributed Optimization. J. Nonlinear Convex Anal., vol. 16, no. 12, pp. 2353-2490, December, 2015. [pdf]

  11. G. Moerkotte, M. Montag, A. Repetti and G. Steidl.
    Proximal Operator of Quotient Functions with Application to a Feasibility Problem in Query Optimization. J. Comput. Appl. Math., vol. 285, pp. 243-255, Sept. 2015. [pdf]

  12. A. Repetti, M. Q. Pham, L. Duval, E. Chouzenoux and J.-C. Pesquet.
    Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed l1/l2 Regularization. Signal Processing Letters., vol. 22, no. 5, pp. 539-543, May 2015. [pdf] [poster at ICASSP 2015] [toolbox]

  13. E. Chouzenoux, J.-C. Pesquet and A. Repetti.
    Variable Metric Forward-Backward Algorithm for Minimizing the Sum of a Differentiable Function and a Convex Function. J. Optim. Theory and Appl., vol.162, no. 1, pp. 107-132, Jul. 2014. [pdf] [toolbox]

________________________________________________________

________________________________________________________

Conference proceedings papers

  1. A. Lyons, A. Boccolini, F. Tonolini, A. Repetti, Z. Chen, J. Leach, R. Henderson, Y. Wiaux, and D. Faccio.
    Diffuse Time-of-flight Imaging with a Single-Photon Camera. In Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP), OSA Technical Digest (Optical Society of America, 2018), paper CM2E.6, Orlando, Florida, United States, 25-28 June 2018. [article]

  2. A. Repetti and Y. Wiaux.
    A non-convex perspective on calibration and imaging in radio interferometry. In Proceedings of the conference on Wavelets and Sparsity XVII, part of the SPIE Optical Engineering + Applications, San Diego, California, United States, 6-9 August 2017. [pdf]

  3. A. Repetti, J. Birdi, and Y. Wiaux.
    Non-convex blind deconvolution approach for sparse radio-interferometric imaging. In Proceedings of the Signal Processing with Adaptive Sparse Structured Representations (SPARS 2017), Lisbon, Portugal, 5-8 June 2017. [pdf] [poster]

  4. J. Birdi, A. Repetti, and Y. Wiaux.
    Sparsity regularized optical interferometric imaging. In Proceedings of the Signal Processing with Adaptive Sparse Structured Representations (SPARS 2017), Lisbon, Portugal, 5-8 June 2017. [pdf] [poster]

  5. A. Repetti, E. Chouzenoux and J.-C. Pesquet.
    A random block-coordinate primal-dual proximal algorithm with application to 3D mesh denoising. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015), Brisbane, Australie, 19-24 Avril 2015. [pdf] [poster]

  6. A. Repetti, E. Chouzenoux and J.-C. Pesquet.
    A Nonconvex Regularized Approach for Phase Retrieval. In Proceedings of the IEEE International Conference on Image Processing (ICIP 2014), Paris, France, 27-30 Octobre 2014. [pdf] [poster]

  7. A. Repetti, E. Chouzenoux and J.-C. Pesquet.
    Reconstruction d'image en présence de bruit gaussien dépendant par un algorithme Explicite-Implicite à métrique variable. In Actes du 24e colloque GRETSI, Brest, France, 3-6 septembre 2013. [abstract] [pdf] [slides] [toolbox]

  8. A. Repetti, E. Chouzenoux and J.-C. Pesquet.
    A Penalized Weighted Least Squares Approach for Restoring Data Corrupted with Signal-Dependent Noise. In Proceedings of the 20th European Signal Processing Conference (EUSIPCO 2012), pp. 1553-1557, Bucarest, Roumanie, 27-31 août 2012. [pdf] [poster]

________________________________________________________

________________________________________________________

Invited conference proceedings papers

  1. S. Naghibzedeh, A. Repetti, A.-J van der Veen, and Y. Wiaux.
    Facet-Based Regularization for Scalable Radio-Interferometric Imaging. In Proceedings of the 26th European Signal Processing Conference (EUSIPCO 2018), Rome, Italy, 3-8 Sept. 2018. [pdf]

  2. A. Repetti, M. Pereyra and Y. Wiaux.
    Uncertainty Quantification in Imaging: When Convex Optimization Meets Bayesian Analysis. In Proceedings of the 26th European Signal Processing Conference (EUSIPCO 2018), Rome, Italy, 3-8 Sept. 2018. [pdf]

  3. M. Pesce, A. Repetti and Y. Wiaux.
    Fast kq-Space Sampling with Motion-Induced Phase in Diffusion MRI. In Proceedings of the IEEE SAM 2018 workshop, Sheffield, UK, pp. 420-424, 8-11 July 2018. [pdf]

  4. P. A. Thouvenin, A. Repetti, A. Dabbech and Y. Wiaux.
    Time-Regularized Blind Deconvolution Approach for Radio Interferometry. In Proceedings of the IEEE SAM 2018 workshop, Sheffield, UK, pp. 475-479, 8-11 July 2018. [pdf]

  5. J. Birdi, A. Repetti and Y. Wiaux.
    Scalable Algorithm for Polarization Constrained Sparse Interferometric Stokes Imaging. In Proceedings of the IEEE SAM 2018 workshop, Sheffield, UK, pp. 465-469, 8-11 July 2018. [pdf]

  6. A. Repetti, J. Birdi, and Y. Wiaux.
    Joint imaging and DDEs calibration for radio interferometry. In Proceedings of international Biomedical and Astronomical Signal Processing (BASP) Frontiers workshop, page 25, Villars-sur-Ollon, Suisse, 29 Janvier-3 Février 2017. [pdf]

  7. A. Repetti, E. Chouzenoux and J.-C. Pesquet.
    Un petit tutoriel sur les méthodes primales-duales pour l'optimisation convexe. In Actes du 25e colloque GRETSI, Lyon, France, 8-11 Septembre 2015. [pdf]

  8. A. Repetti, E. Chouzenoux and J.-C. Pesquet.
    A parallel block-coordinate approach for primal-dual splitting with arbitrary random block selection. In Proceedings of the European Signal Processing Conference (EUSIPCO 2015), Nice, France, 31 Août-4 Septembre 2015. [pdf]

  9. A. Repetti, E. Chouzenoux and J.-C. Pesquet.
    Proximal primal-dual optimization methods. In Proceedings of international Biomedical and Astronomical Signal Processing (BASP) Frontiers workshop, page 25, Villars-sur-Ollon, Suisse, 25-30 janvier 2015. [pdf]

  10. A. Repetti, E. Chouzenoux and J.-C. Pesquet.
    A Preconditioned Forward-Backward Approach with Application to Large-Scale Nonconvex Spectral Unmixing Problems. In Proceedings of the 39th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), pp. 1498-1502, Florence, Italie, 4-9 mai 2014. [pdf] [slides]

________________________________________________________

________________________________________________________

Workshops/Conferences without proceedings

  • A. Repetti, P. A. Thouvenin, A. Dabbech and Y. Wiaux.
    A time-regularized blind deconvolution method via non- convex optimisation. SIAM Conference on Imaging Science , Bologna, Italy, 5-8 June 2018. [abstract]

  • A. Repetti and Y. Wiaux.
    Joint imaging and calibration using non-convex optimization. Workshop on Variational methods, new optimisation techniques and new fast numerical algorithms , Isaac Newton Institute, Cambridge, UK, 4-8 Sept. 2017. [abstract]

  • A. Repetti and Y. Wiaux.
    Non-convex blind deconvolution approach for sparse image processing. Workshop on New mathematical methods in computational imaging , Heriot-Watt University, Edinburgh, UK, 29th June 2017.

  • A. Repetti, J. Birdi, A. Dabbech, and Y. Wiaux.
    Non-convex optimization for self-calibration of direction-dependent effects in radio interferometric imaging. Radio Imaging in the 21st Century 2017 workshop , La Valetta, Malta, 22-26 May 2017.

  • A. Repetti, and Y. Wiaux.
    Tutorial: Compressive sensing and convex optimization. 3GC4 workshop , Port Alfred, South Africa, 24th October-4th November 2016.

  • A. Repetti, J. Birdi and Y. Wiaux.
    Joint imaging and DDE calibration for RI. 3GC4 workshop , Port Alfred, South Africa, 24th October-4th November 2016. [abstract]

  • A. Repetti, E. Chouzenoux et J.-C. Pesquet.
    Solving large-scale inverse problems using forward-backward based methods. Séminaire Scube - Supelec , Gif-sur-Yvette, France, 11 Mars 2016. [abstract]

  • A. Repetti, E. Chouzenoux et J.-C. Pesquet.
    Adaptations de l’algorithme explicite-implicite pour la résolution de problèmes inverses de grande dimension. Séminaire SPOC - Université de Bourgogne , Dijon, France, 9 Mars 2016. [abstract]

  • A. Repetti, E. Chouzenoux et J.-C. Pesquet.
    Large scale optimization : accelerations using preconditioned and randomized techniques. Séminaire OGre - Université Grenoble Alpes , Grenoble, France, 2 Février 2016.

  • A. Repetti, M. Q. Pham, L. Duval, E. Chouzenoux et J.-C. Pesquet.
    Sparse Deconvolution of Seismic Data with A Regularized Norm Ratio. International Congress on Industrial and Applied Mathematics (ICIAM 2015), Beijing, China, 10-14 Août 2015. [abstract]

  • A. Repetti, F. Abboud et J.-C. Pesquet.
    Solving Convex Constrained Problems using Random Distributed Algorithms. International Symposium in Mathematical Programming (ISMP 2015), Pittsburgh, PA, 12-17 Juillet 2015. [abstract]

  • A. Repetti, E. Chouzenoux et J.-C. Pesquet.
    Convergence Analysis of Block-Coordinate Primal-Dual Algorithms with Arbitrary Random Sampling. International Symposium in Mathematical Programming (ISMP 2015), Pittsburgh, PA, 12-17 Juillet 2015. [abstract]

  • A. Repetti, E. Chouzenoux et J.-C. Pesquet.
    Méthodes proximales primales-duales pour l'optimisation convexe. Séminaire de Probabilités et Statistiques, Université de Lille, France, 17 juin 2015. [abstract]

  • A. Repetti, E. Chouzenoux, M. Q. Pham, L. Duval et J.-C. Pesquet.
    Algorithme préconditionné explicite-implicite et application à la résolution de problèmes inverses en traitement du signal. GdR ISIS - Optimisation non-convexe, Paris, France, 16 octobre 2014. [abstract]

  • A. Repetti, P. L. Combettes and J.-C. Pesquet.
    Randomized primal-dual methods based on stochastic quasi-Fejér monotonicity property. European Conference on Stochastic Programming and Energy Applications (ECSP 2014), Paris, IHP, France, 24 - 26 septembre 2014. [abstract]

  • A. Repetti, E. Chouzenoux and J.-C. Pesquet.
    Proximal methods: tools for solving inverse problems on a large scale. BioImage Informatics and Modeling at the Cellular Scale, Toulouse, France, 30 juin - 2 juillet 2014.

  • A. Repetti, E. Chouzenoux and J.-C. Pesquet.
    Une nouvelle approche régularisée pour la reconstruction de phase. 9ème édition des Journées d'imagerie optique non conventionnelle (JIONC), Paris, France, 19-20 mars 2014. [abstract]

  • A. Repetti, E. Chouzenoux and J.-C. Pesquet.
    Variable metric forward-backward algorithm for minimizing the sum of a differentiable function and a convex function. Advances in Mathematical Image Processing (AIP), Annweiler, Allemagne, 30 septembre - 2 octobre 2013.

________________________________________________________

________________________________________________________

These

Algorithmes d'optimisation en grande dimension :
Applications à la résolution de problèmes inverses

[résumé] [manuscrit]

Encadrement :
  • Jean-Christophe PESQUET
  • Emilie CHOUZENOUX
  • ________________________________________________________

    Contact

    Biomedical and Astronomical Signal Processing group
    Institute of Sensors, Signals and Systems
    Heriot-Watt University
    Edinburgh EH14 4AS
    UK

    mail: A.Repetti@hw.ac.uk

    Google Scholar

    ResearchGate



    .