SC Team

Head : Marie CHABERT

The research activities of the “Signal & Communications” group are currently divided into two main areas:

  • Statistical signal & image processing: analysis and representation, inverse problems and computational imaging, machine learning
  • Signal for communications: waveform design, digital receivers, communication system modeling and performance.

Statistical signal & image processing

Prominent research activities in statistical signal & image processing conducted by the SC group are currently dedicated to the following research topics:

  • Signal & image analysis and representation
    • non-uniform sampling and reconstruction
    • spectral analysis: empirical mode decomposition, AM/FM decomposition
    • time-frequency analysis: reassignment and synchrosqueezing
    • multiscale, multi-resolution and multifractal analysis: scale invariance, self-similarity, local regularity, texture analysis
  • Inverse problems and computational imaging
    • restoration: denoising, deconvolution
    • single-image super-resolution
    • fusion of multi-band images (e.g., multi- and hyperspectral pansharpening)
  • Machine learning for signal & image processing
    • blind source separation: independent component analysis (ICA), nonnegative matrix factorization (NMF)
    • representation learning: dictionary learning, subspace learning, adaptive and fast transforms
    • structured modeling: sparse, anti-sparse and low-rank models

These different problems are tackled using various methodological and theoretical tools such as:

  • Bayesian modeling and computation
    • (hierarchical) Bayesian inference
    • latent variable models, hidden Markov models, Markov random fields
    • Bayesian nonparametrics: Beta, Dirichlet and Gaussian processes
    • Markov chain Monte Carlo (MCMC) algorithms: Metropolis-Hastings, (partially collapsed) Gibbs samplers, reversible jump algorithms, Hamiltonian Monte Carlo, proximal-MALA
    • approximate Bayesian computations (ABC), variational Bayesian methods
  • Deterministic and stochastic optimization
    • splitting and proximal algorithms
    • augmented Lagrangian methods
    • majorization-minimization algorithms
    • Monte Carlo integrations and approximations

These research activities are carried out in various applicative fields, namely:

  • Geoscience and remote sensing
    • hyperspectral imaging: spectral unmixing, nonlinearity and variability detections, segmentation/classification, fusion (e.g., pansharpening)
    • multi-temporal image analysis: change detection, unmixing
    • conventional and delay/Doppler altimetry: modeling and parameter estimation
  • Biomedical imaging and engineering
    • segmentation and unmixing of 3D+t TEP images
    • ultrasound imaging: fast acquisition and compressed sensing, segmentation/classification
    • P- and T-waves detection and delineation in ECG
    • source localization in EEG
    • hemodynamic brain parcellation in fMRI
    • multiscale and multifractal analysis of biomedical signals (fMRI, ECG)
    • gene expression factor analysis: identification of disease signature (e.g., influenza)
  • Diagnosis and condition monitoring
    • detection and diagnosis of mechanical and bearing faults in electrical machines
    • processing of anemometric and inertial data in flight control systems
    • aging modeling for prognosis in electrical engineering
  • Audio and music processing
    • music signal decomposition
    • multichannel source separation
    • audio restoration
    • music chord recognition
  • Microscopy and spectroscopy
    • EELS spectrum-image analysis
    • spectrochemical analysis
    • magnetic resonance force microscopy (MRFM) imagery
  • Art investigation and cultural heritage
    • audio-guided video synthesis for modern art
    • texture analysis and classification of photographic prints

Signal for digital communications

Research activities in digital communications and systems addressed by the SC group are focused on signal processing, modeling and coding for satellite and wireless communication systems.

These methods are applied to waveform desgin, coding, multi-user communications/multiple access/cooperative communications, synchronization and equalization.

  • Modulation and coding
    • block-based circular faster-than-Nyquist waveform design
    • faster-than-Nyquist modulation in the non linear regime
    • single carrier spatial modulation schemes in the frequency domain for a PAPR/performance trade-off
    • sparse graph-based coded continuous phase modulations (CPM) in coherent and non coherent channels
    • BICM schemes for nonlinear code-shift keying modulation
    • Structured coding schemes for non-ergodic channels
    • compressed sensing approach for indoor and outdoor localization of users over multipath large scale MIMO channels
    • Spatial coupling for serially concatenated systems
    • Waveform design and coding for IoT (BPSK, code-shift keying modulation, Chirp Spreaded modulation, FSK based…)
    • MIMO Radar
  • Multiple access and random access
    • Methods for Random Access: MARSALA, MUSCA and SPOTiT schemes.
    • IoT by satellite
  • Identification, equalization and detection
    • iterative schemes for sparse graph-based coded continuous phase modulation (CPM)
    • iterative detection of bit-interleaved code modulation system over frequency selectif channels
    • low-complexity frequency domain detection and synchronization methods
    • unrolled deep expectation-propagation (EP) detection
    • expectation/Belief-propagation (EP/BP) based detection schemes
    • detection in nonlinear channels using mutual information optimized neural networks (NN)
    • detection in nonlinear channels using linear low complexity MAP based or MMSE based detector for Nyquist and Faster than Nyquist
    • classification of modulations
  • Multicarrier systems and filterbanks
    • orthogonal frequency-division multiplexing (OFDM)
    • multicarrier code division multiple access (CDMA)
  • Cooperative communications
    • stochastic geometry for interference modeling

The applications, in the general frameworks of wireless and satellite communications, are mainly related to:

  • Satellite communications
    • telemetry coded waveforms for the next Ariane spacecraft generation
    • digital broadcasting
    • IoT by satellite using Low Earth Orbit (LEO) constellations
  • Wireless communications
    • unmanned aerial vehicle (UAV)
    • UAV-based mobile targets tracking
    • generation and management of adaptive UAV trajectories
    • internet-of-things (IoT)
    • ad-hoc networks
    • vehicular networks
    • Navigation
    • global navigation satellite system (GNSS)


Representation, analysis and processing of signals and images (remote sensing, biomedical, audio, electrical, aeronautical and space engineering)
Learning and statistical data processing
Digital communications (waveform, detection, estimation, receivers, coding)
Aeronautical and satellite telecommunications systems
Mobile communication systems
Machine-to-machine (M2M) and Internet of Things (loT)
Satellite navigation and positioning systems

team Members

Permanent members
Non-permanent members
External members

team publications

International journals articles
  • Arthur Louchart, Ehsan Tohidi, David Gesbert, Philippe Ciblat, Eva Lagunas, Charly Poulliat

    Some power allocation algorithms for cognitive uplink satellite systems

    EURASIP Journal on Wireless Communications and Networking, 2023, 2023: 32, pp.1-30. ⟨10.1186/s13638-023-02234-7⟩


  • Antonio Maria Cipriano, Serdar Şahin, Charly Poulliat

    Practical Frequency-Domain Decision Feedback Equalization based on Expectation Propagation

    IEEE Communications Letters, 2023, pp.1-1. ⟨10.1109/LCOMM.2023.3303676⟩


  • Adam Mekhiche, Antonio Maria Cipriano, Charly Poulliat

    Low-Complexity Scheduled Expectation Propagation based on QRD and SIC

    IEEE Communications Letters, 2023, pp.1-1. ⟨10.1109/LCOMM.2023.3303610⟩


  • Arthur Marmin, José Henrique de M Goulart, Cédric Févotte

    Joint Majorization-Minimization for Nonnegative Matrix Factorization with the $\beta$-divergence

    Signal Processing, In press, 209, pp.109048. ⟨10.1016/j.sigpro.2023.109048⟩


  • Taner Ince, Nicolas Dobigeon

    A Fast Spatial–Spectral NMF for Hyperspectral Unmixing

    IEEE Geoscience and Remote Sensing Letters, 2023, 20, pp.5505305. ⟨10.1109/lgrs.2023.3282218⟩


  • Nerya Granot, Tzvi Diskin, Nicolas Dobigeon, Ami Wiesel

    Probabilistic Simplex Component Analysis by Importance Sampling

    IEEE Signal Processing Letters, 2023, 30, pp.683-687. ⟨10.1109/LSP.2023.3282166⟩


  • Cassio F. Dantas, Emmanuel Soubies, Cédric Févotte

    Sphere Refinement in Gap Safe Screening

    IEEE Signal Processing Letters, 2023, ⟨10.1109/LSP.2023.3277792⟩


  • Felipe Tobar, Elsa Cazelles, Taco de Wolff

    Computationally-efficient initialisation of GPs: The generalised variogram method

    Transactions on Machine Learning Research Journal, 2023, pp.1-24. ⟨10.48550/arXiv.2210.05394⟩


  • Ondřej Mokrý, Paul Magron, Thomas Oberlin, Cédric Févotte

    Algorithms for audio inpainting based on probabilistic nonnegative matrix factorization

    Signal Processing, 2023, ⟨10.1016/j.sigpro.2022.108905⟩


  • Yanna Cruz Cavalcanti, Thomas Oberlin, Vinicius Ferraris, Nicolas Dobigeon, Maria Ribeiro, Clovis Tauber

    Compartment model-based nonlinear unmixing for kinetic analysis of dynamic PET images

    Medical Image Analysis, 2023, 84, pp.102689. ⟨10.1016/⟩


  • National journals articles
  • Antonio Quintero Rincón, Máximo Flugelman, Jorge Prendes, Carlos d’Giano

    Study on epileptic seizure detection in EEG signals using largest Lyapunov exponents and logistic regression

    Revista Argentina de Bioingeniería, 2019, 23 (2), pp.17-24


  • National journals articles
    International conferences articles
  • Pascal Nguyen, Emmanuel Soubies, Caroline Chaux

    MAP-informed Unrolled Algorithms for Hyper-parameter Estimation

    2023 IEEE International Conference on Image Processing (ICIP), Oct 2023, Kuala Lumpur, Malaysia. pp.2160-2164, ⟨10.1109/ICIP49359.2023.10222154⟩


  • Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais

    Méthode MCMC plug-and-play avec a priori génératif profond

    XXIXème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2023), Aug 2023, Grenoble, France. à paraître


  • Jocelyn Bourduge, Charly Poulliat, Benjamin Gadat

    Non Binary LDPC Coded Orthogonal Modulation Schemes based on Non Binary Multilevel Coding

    IEEE International Symposium on Information Theory (ISIT 2023), IEEE, Jun 2023, Taipei, Taiwan. pp.2517-2522, ⟨10.1109/ISIT54713.2023.10206851⟩


  • Thanh-An Pham, Emmanuel Soubies, Ferréol Soulez, Michael Unser

    Optical Diffraction Tomography Meets Fluorescence Localization Microscopy

    1st International Symposium on Computational Sensing (ISCS 2023), Jun 2023, Luxembourg, Luxembourg


  • Maël Madon, Patricia Lago

    We are always on, is that really necessary?” Exploring the Path to Digital Sufficiency in Flexible Work

    International Conference on Information and Communications Technology for Sustainability (ICT4S 2023), Jun 2023, Rennes, France. pp.1-11


  • Adam Mekhiche, Antonio Maria Cipriano, Charly Poulliat

    Expectation Propagation on Factor Graphs Based on Matrix Decomposition

    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), IEEE, Jun 2023, Rhodes Island, Greece. pp.1-5, ⟨10.1109/ICASSP49357.2023.10094970⟩


  • Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon

    Informed spatial regularizations for fast fusion of astronomical images

    IEEE International Conference on Image Processing (ICIP 2022), Oct 2022, Bordeaux, France. pp.1-5


  • Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais

    Sliced-Wasserstein normalizing flows: beyond maximum likelihood training

    30th European Symposium on Artificial Neural Networks (ESANN 2022), Oct 2022, Bruges, Belgium. ⟨10.48550/arXiv.2207.05468⟩


  • Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais

    Learning optimal transport between two empirical distributions with normalizing flows

    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2022), Sep 2022, Grenoble, France. ⟨10.48550/arXiv.2207.01246⟩


  • Jocelyn Bourduge, Charly Poulliat, Benjamin Gadat, Jean Frédéric Chouteau

    Bit interleaved chirp spread spectrum coded modulations with iterative decoding based on LDPC codes for coherent and non-coherent regimes

    33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2022), IEEE, Sep 2022, Kyoto, Japan. pp.968-974, ⟨10.1109/PIMRC54779.2022.9978129⟩


  • Conferences articles without published proceedings
    • Nicolas Dobigeon

      Bayesian linear unmixing for spectral mixture analysis

      In : International PICS 2012 Workshop on “Chemometrics in time-resolved and imaging spectroscopy – Instrumental measurements and data analysis”, Lille, France, 03/12/12-04/12/12 (invited speaker).


    • David Bonacci, Jean-Pierre Millerioux, Raoul Prevost, Julia Lemaitre, Martial Coulon, Jean-Yves Tourneret

      Advanced concepts for satellite reception of AIS messages

      In : Toulouse Space Show, Toulouse, 25/06/12-28/06/12.


    • Nicolas Dobigeon

      MCMC algorithms for spectral unmixing

      In : Atelier “Astrostatistique en France”, Grenoble, France, 08/12/11-09/12/11 (invited speaker).


    • Nicolas Dobigeon, Jean-Yves Tourneret

      Joint segmentation of wind speed and direction using a hierarchical model

      In : Workshop on change-point detection methods and applications, AgroParisTech, Paris, France, 11/09/08-12/09/08 (invited speaker).


    • Alfred O. Hero, Nicolas Dobigeon, Kyle Herrity

      Sparsity constrained image reconstruction for MRFM

      In : ARO MURI MRFM Program Progress Review, Cornell University, Ithaca, USA, 09/07/08-11/07/08.


    • Nicolas Dobigeon

      Segmentation Conjointe de Données Astrophysiques

      In : Colloque de l’Ecole Doctorale Informatique et Télécommunications (EDIT), Toulouse, France, 11/04/05-12/04/05.


    • Francis Castanié

      Invited Speaker in’ Non Linear Signal Processing with Neural Networks’

      In : Communication Systems, Networks and Digital Signal Processing (CSNDSP2002), Staffordshire (UK), 15/07/02-17/07/02.


    • Francis Castanié, Louis Lareng, Albert Alonso, Jean-Luc Weber

      Universal Remote Signal Acquisition for health (URSAFE)

      In : Réunion Scientifique de la Société Européenne de Télémédecine, Paris, 30/09/02-30/09/02.


  • Antoine Picot, Marie Chabert, Pascal Maussion

    Chapter 5. Methods for Lifespan Modeling in Electrical Engineering

    ISTE Ltd. Electrical Systems 1From Diagnosis to Prognosis, John Wiley & Sons, Inc., 2020, Electrical Systems 1 – From Diagnosis to Prognosis, 978-1-78630-465-0


  • Michel Devy, Frédéric Lerasle, Nicolas Dobigeon, Cédric Févotte

    Perception et apprentissage de représentations

    Intelligence artificielle – Regards croisés de chercheur·es, 44, La Dépêche; CNRS, pp.12-15, 2020, Le Petit Illustré


  • Alexey Ozerov, Cédric Févotte, Emmanuel Vincent

    An introduction to multichannel NMF for audio source separation

    Audio Source Separation, Springer, 2018, Signals and Communication Technology


  • Cédric Févotte, Emmanuel Vincent, Alexey Ozerov

    Single-channel audio source separation with NMF: divergences, constraints and algorithms

    Audio Source Separation, Springer, 2018


  • Cédric Févotte, Paris Smaragdis, Nasser Mohammadiha, Gautham Jean Mysore

    Temporal extensions of nonnegative matrix factorization

    Audio Source Separation and Speech Enhancement, 2018


  • Patrice Abry, Stéphane Jaffard, Roberto Leonarduzzi, Clothilde Melot, Herwig Wendt

    New exponents for pointwise singularity classification

    Seuret, Stéphane; Barral, Julien. Recent Developments in Fractals and Related Fields: Conference on Fractals and Related Fields III, FARF3 2015: Recent Developments in Fractals and Related Fields, Birkhäuser, pp.1-37, 2017, Trends in Mathematics book series (TM), 978-3-319-57803-3. ⟨10.1007/978-3-319-57805-7_1⟩


  • Books Books edition Books parts
    Thesis and HDR
  • Asma Maalaoui

    Design of Coded Modulation Schemes Based on Non-Binary LDPC Codes

    Other [cs.OH]. Institut National Polytechnique de Toulouse – INPT, 2023. English. ⟨NNT : 2023INPT0044⟩


  • Camille Castera

    Inertial and Second-order Optimization Algorithms for Training Neural Networks

    Other [cs.OH]. Institut National Polytechnique de Toulouse – INPT, 2021. English. ⟨NNT : 2021INPT0107⟩


  • Claire Guilloteau

    Fusion rapide d’images multispectrales et hyperspectrales en astronomie infrarouge.

    Autre [cs.OH]. Institut National Polytechnique de Toulouse – INPT, 2021. Français. ⟨NNT : 2021INPT0090⟩


  • Etienne Monier

    Reconstruction rapide d’images multi-bandes partiellement échantillonnées en spectromicroscopie EELS

    Traitement du signal et de l’image [eess.SP]. Institut National Polytechnique de Toulouse – INPT, 2020. Français. ⟨NNT : 2020INPT0090⟩


  • Maxime Vono

    Asymptotically exact data augmentation – Models and Monte Carlo sampling with applications to Bayesian inference

    Statistics [stat]. Institut National Polytechnique de Toulouse, 2020. English. ⟨NNT : ⟩


  • Baha Eddine Youcef Belmekki

    Interference modeling of wireless cooperative systems

    Networking and Internet Architecture [cs.NI]. Institut National Polytechnique de Toulouse – INPT, 2020. English. ⟨NNT : 2020INPT0052⟩


  • Olivier Gouvert

    Factorisation bayésienne de matrices pour le filtrage collaboratif

    Autre [cs.OH]. Institut National Polytechnique de Toulouse – INPT, 2019. Français. ⟨NNT : 2019INPT0138⟩


  • Mouna Elloumi

    Surveillance de cibles mobiles fondée sur un réseau de drones

    Autre [cs.OH]. Institut National Polytechnique de Toulouse – INPT; École Nationale des Sciences de l’Informatique (La Manouba, Tunisie), 2019. Français. ⟨NNT : 2019INPT0098⟩


  • Lorenzo Ortega Espluga

    Signal optimization for Galileo evolution

    Networking and Internet Architecture [cs.NI]. Institut National Polytechnique de Toulouse – INPT, 2019. English. ⟨NNT : 2019INPT0118⟩


  • Louis Filstroff

    Contributions to probabilistic non-negative matrix factorization – Maximum marginal likelihood estimation and Markovian temporal models

    Other [cs.OH]. Institut National Polytechnique de Toulouse – INPT, 2019. English. ⟨NNT : 2019INPT0143⟩


  • Reports
  • Benoît Escrig

    Concilier trois innovations curriculaires : le passage aux blocs de compétences, l’approche par compétences et l’approche programme

    [Rapport de recherche] Toulouse INP. 2020


  • Reports Other publications

    team Contracts

    AcronymeTitreResp. scDébut – fin
    AI4CODE Apport de l’intelligence artificielle à la conception et au décodage de codes correcteurs d’erreurs Charly POULLIAT
    2021 – 2025
    EVASION Implémentation Efficace et Optimisation de récepteurs avancés basés sur le passage de messages pour les futurs réseaux sans fil Charly POULLIAT
    2021 – 2025
    MICROBLIND Problèmes inverses aveugles et microscopie optique Emmanuel SOUBIES
    2021 – 2026
    EROSION Relaxations exactes pour l’optimisation parcimonieuse et de faible rang Emmanuel SOUBIES
    2022 – 2026
    IMAGIN Imagerie moléculaire active et sélective Nicolas DOBIGEON
    2022 – 2025
    [Contract completed]
    Récepteurs et Allocation de ressources pour des systèmes cognitifs satellitaires à haute efficacité spectrale Charly POULLIAT
    2018 – 2021
    [Contract completed]
    autre KAStrion : Analyse électrique et vibratoire pour la maintenace préventive dans les fermes éoliennes offshore/ Corinne MAILHES
    2012 – 2016
    AcronymeTitreResp. scDébut – fin
    Labex CIMI Centre International de Mathématiques et d’Informatique (de Toulouse) Joseph GERGAUD
    Christine ROCHANGE
    Franck MORVAN
    Denis KOUAMÉ
    Lotfi CHAARI
    Urtzi AYESTA
    Boris TEABE
    Thomas CARLE
    Emmanuel SOUBIES
    José Henrique DE MORAIS GOULART
    2012 – 2024
    [Contract completed]
    autre Signalisation avancée à multi-dimensions et codage M-aire pour les réseaux de fibres optiques Charly POULLIAT
    2017 – 2021
    [Contract completed]
    autre Allocation Doctorale : Du démélange pixellique à la classification thématique – Apprentissage multi-résolution pour analyse hiérarchique d’images hyperspectrales et hypertemporelles Nicolas DOBIGEON
    2016 – 2020
    [Contract completed]
    autre New paradigms for latent factor estimation Cédric FÉVOTTE
    2016 – 2022
    [Contract completed]
    Monitoring the Water Hyacinth Using ASTER Imagery Nicolas DOBIGEON
    2016 – 2018
    [Contract completed]
    Méthodes Bayésiennes non paramétriques pour le traitement du signal et de l’image Nicolas DOBIGEON
    Herwig WENDT
    2014 – 2018
    AcronymeTitreResp. scDébut – fin
    Friday 14 April 2023, 10h00
    Conception de schémas de modulation codés basés sur des codes LDPC non binaires
    Asma MAALAOUI – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
    Tuesday 29 November 2022, 10h00
    Reconstruction de phase et de signaux audio avec des fonctions de coût non-quadratiques
    Pierre Hugo VIAL – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
    Friday 21 October 2022, 10h00
    Deep learning for embedded image compression in Earth Observation
    Vinicius ALVES DE OLIVEIRA – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
    Monday 29 November 2021, 10h00
    Inertial and Second-order Optimization Algorithms for Training Neural Networks
    Camille CASTERA – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
    Wednesday 13 October 2021, 10h00
    Fusion rapide d’images multispectrales et hyperspectrales en astronomie infrarouge
    Claire GUILLOTEAU – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
    Friday 9 October 2020, 10h00
    Reconstruction rapide d’images multi-bandes partiellement échantillonnées en spectromicroscopie EELS
    Etienne MONIER – Team SC, IRIT INP-ENSEEIHT, Salle B00 et en visioconférence
    Wednesday 7 October 2020, 10h00
    Asymptotically exact data augmentation — Models and Monte Carlo sampling with applications to Bayesian inference
    Maxime VONO – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
    Friday 27 March 2020, 10h00
    Interference Modeling of Wireless Cooperative Systems
    Baha Eddine Youcef BELMEKKI – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
    Thursday 19 December 2019, 10h00
    Factorisation bayésienne de matrices pour le filtrage collaboratif
    Olivier GOUVERT – Team SC, IRIT INP-ENSEEIHT, Salle des thèses
    Thursday 5 December 2019, 10h00
    Surveillance de cibles mobiles fondée sur un réseau de drones
    Mouna ELLOUMI – Team SC, Team RMESS, IRIT INP-ENSEEIHT, Salle des thèses
    Tuesday 9 July 2019 – Wednesday 10 July 2019
    Colloque 2019 du Groupe Hyperspectral de la SFPT (SFPT-GH)
    #congres Know more
    Monday 1 July 2019 – Thursday 4 July 2019
    SPARS 2019 : The Signal Processing with Adaptive Sparse Structured Representations (SPARS) Workshop 2019
    #congres Know more
    Monday 2 July 2018 – Wednesday 4 July 2018
    BNPSI 2018 : Workshop on Bayesian nonparametrics for signal and image processing
    #congres Know more
    Friday 24 June 2022, 16h00 – 17h30
    [TidDle] Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics
    Bhavin CHOKSI – CerCo (France)Milad MOZAFARI – CerCo (France) INP-ENSEEIHT, Salle des thèses
    Tuesday 18 January 2022, 14h00 – 15h30
    The Art of Gaussian Processes: Classical and Contemporary
    Felipe TOBAR – Université du Chili INP-ENSEEIHT, Salle des thèses
    Thursday 22 October 2020, 12h30 – 14h00
    Streaming computation of optimal weak transport barycenters
    Elsa CAZELLES – Team SC, IRIT INP-ENSEEIHT, En visioconférence
    Monday 2 March 2020, 12h45 – 14h00
    What’s next in Music Streaming?
    Fabien GOUYON – Pandora/SiriusXM (Royaume-Uni) INP-ENSEEIHT, Amphi B00
    Tuesday 3 December 2019, 14h00 – 15h30
    Low-rank tensor learning: state of affairs and perspectives
    José Henrique DE MORAIS GOULART – Gipsa-lab – MIAI Grenoble Alpes INP-ENSEEIHT, Salle F422
    Thursday 21 February 2019, 11h00 – 12h00
    Weakly-supervised approaches for sound event detection
    Thomas PELLEGRINI – Team SAMOVA – IRIT (France) INP-ENSEEIHT, Salle des thèses
    Monday 10 December 2018, 10h30 – 12h00
    Audio Signal Modeling for Source Separation – From Hand-designed to Learned Probabilistic Priors
    Simon LEGLAIVE – Inria Grenoble Rhône-Alpes INP-ENSEEIHT, Salle des thèses
    Thursday 15 November 2018, 14h00 – 15h30
    Sparse coding from nonlinear compressive measurements: applications to declipping, de-quantization and 1-bit recovery
    Lucas RENCKER – University of Surrey (Royaume-Uni) INP-ENSEEIHT, Salle C103
    Tuesday 16 October 2018, 17h00 – 18h00
    Fast and invariant learning for Independent Component Analysis
    Pierre ABLIN – INRIA Paris INP-ENSEEIHT, Salle F422
    Monday 1 October 2018, 15h00 – 16h00
    Latest Advances in Multi-Way Low-Rank Factorization: Nonnegativity, Positive Semidefiniteness, and Joint Diagonalization
    Kazuyoshi YOSHII – Kyoto University & RIKEN (Japon) INP-ENSEEIHT, Salle C103
    Wednesday 24 November 2021, 10h00
    Traitement de l’image et du signal et apprentissage automatique
    Thursday 2 September 2021 – Friday 3 September 2021
    CIMI-ANITI School on Optimisation
    UT3 Paul Sabatier, INP-ENSEEIHT & en visioconférence
    Friday 9 October 2020
    GdR MIA Thematic day on Non-Convex Sparse Optimization
    INP-ENSEEIHT, Auditorium et via visioconférence
    Thursday 12 September 2019
    Matinée UT1 – ENSEEIHT Institut 3IA ANITI Optimization and statistics
    INP-ENSEEIHT, Salle des thèses
    Monday 10 September 2018 – Thursday 13 September 2018
    [LabEx CIMI] Workshop « Optimization and Learning » dans le cadre du trimestre thématique
    UT3 Paul Sabatier, Institut de Mathématiques de Toulouse (IMT), Amphi Schwarz