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Organizer: fragkiskos.malliaros at centralesupelec.fr

February 8, 2024: Antoine Collas, MIND team, Inria Saclay

Topic: Riemannian geometry for statistical estimation and learning: applications to remote sensing and M/EEG data analysis

January 29, 2024: Reuben Dorent, Harvard Medical School

Topic: Mixture of multi-modal hierarchical variational auto-encoders for unified image synthesis

January 11, 2024: Hélène Lowinger, Inria and Magalie Doucet, CentraleSupélec

Topic: Good editorial practices

October 31, 2023: Corentin Pla, Antoine Siraudin, Alix Chazottes, Eliott Barbot, Vahan Martirosyan, Vuk Ignjatovic, Leo Stepien

Topic: Interns seminar

June 2, 2023: Prof. Angshul Majumdar, Indraprastha Institute of Information Technology, Delhi

Topic: Signal processing approaches for non-intrusive load monitoring

January 17, 2023: Dr. Quentin Bertrand, MILA Montreal

Topic: Implicit differentiation in non-smooth convex learning

November 3, 2022: Giovanni Bruccola, Polytechnic University of Warsaw

Topic: Outer approximation algorithm for projecting over a non convex set described by weakly convex constraints

November 3, 2022: Flavia Chorobia, Politehnica University of Bucharest

Topic: Random coordinate descent methods for nonseparable composite optimization

May 20, 2022: Malik Boudiaf, ETS, Montréal

Topic: Transduction for adaptation: a path towards efficient reuse of foundation models

May 6, 2022: Tony Silveti-Falls, Toulouse School of Economics

Topic: Implicit nonsmooth auto-differentiation

April 29, 2022: Sandrine Boulet, Inria HeKA team, PariSanté

Topic: Using neural networks to build more realistic simulation schemes for causal analysis

April 4, 2022: Jhony H. Giraldo, La Rochelle University

Topic: Graph-based algorithms in computer vision, machine learning, and signal processing

January 28, 2022: Yunshi Huang, CVN

Topic: Unrolled Variational Bayesian Algorithm for image blind deconvolution

December 16, 2021: Jérôme Rony, ETS, Montréal

Topic: Adversarial attacks. An optimization perspective

September 24, 2021: David Boudin, Pierre-Antoine Comby, Garance Martin, Emmanuel Kahanam, Aymen Sadraoui, Yannick Sun

Topic: Interns seminar

February 23, 2021: Dr Andrea Simonetto, IBM Research, Dublin

Topic: Time-varying optimization for information stream

February 9, 2021: Dr Jordan Frecon, LITS, INSA, Rouen

Topic: Bilevel optimization of hyperparameters: Application to structure discovery

January 26, 2021: Dr Jean Feydy, Imperial College, London

Topic: Geometric data analysis, beyond convolutions

January 13, 2021: Dr. Sixin Zhang, IRIT, Toulouse

Topic: Learning structures from high-dimensional data

November 24, 2020: Younes Belkouchi, Mouna Gharbi, Gabriele Scrivanti, CVN

Topic: Welcome seminar of new PhD students (2)

November 13, 2020: Théodore Aouad, Jean-Baptiste Fest, Ségolène Martin

Topic: Welcome seminar of new PhD students (1)

June 17, 2020: Dr Noura Ouzir, Aato University, Helsinki

Topic: Dictionary learning-based regularization for cardiac motion estimation

June 10, 2020: Dr Elisa Riccieti, IRIT, Toulouse

Topic: Second-order methods for the solution of large-scale machine learning problems

January 15, 2020: Dr Javier Zazo, Harvard University

Topic: Earth Mover's distance metric learning & non-convex quadratic programming

October 24, 2019: Prof. Thomas Bonald, Telecom Paris

Topic: Hierarchical graph clustering: Objectives and algorithms

July 9, 2019: Prof. Apostolos Papadopoulos, Aristotle University of Thessaloniki, Greece

Topic: Efficient processing of top-k dominating queries

June 18, 2019: Prof. Angshul Majumdar, IIIT Delhi, India

Topic: Deep Dictionary Learning – A new framework for representation learning

May 24, 2019: Simona Juniva, CVN

Topic: Differentiating radiation necrosis from tumor progression in brain metastases after radiation therapy

May 24, 2019: Ana Neacsu, CVN

Topic: The effect of constraints on learning neura networks

May 24, 2019: Tasnim Dardouri, CVN

Topic: Neural network based Image compression

May 14, 2018: Prof Samuel Kadoury, Polytechnique Montréal

Topic: Computational 3D spine imaging: From disease prognosis to surgical guidance

May 4, 2018: Prof. Patrick L. Combettes, North Carolina State University, USA

Topic: Some aspects of duality in convex optimization

April 12, 2018: Jyoti Maggu, IIIT Delhi, India

Topic: Supervised transform learning

April 12, 2018: Vanika Singhal, IIIT Delhi, India

Topic: Deep dictionary learning

January 23, 2018: Dr. Guillaume Garrigos, École Normale Supérieure, Paris

Topic: Iterative regularization for general inverse problems