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

Members team

Permanent members
Non-permanent members
External members

publications team

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⟩


  • 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⟩


  • 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


  • 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/⟩


  • Damien Roque, Charly Poulliat

    SNR-Optimal Spreading Sequences for Chip-Wise Faster-than-Nyquist Signaling

    IEEE Communications Letters, In press, pp.1-1. ⟨10.1109/LCOMM.2023.3265070⟩


  • Lorenzo Ortega, Charly Poulliat

    GNSS Channel Coding Structures for Fast Acquisition Signals in Harsh Environment Conditions

    Navigation, In press


  • Taner Ince, Nicolas Dobigeon

    Fast Hyperspectral Unmixing Using a Multiscale Sparse Regularization

    IEEE Geoscience and Remote Sensing Letters, 2022, 19, pp.1-5. ⟨10.1109/LGRS.2022.3217872⟩


  • José Henrique de M Goulart, Romain Couillet, Pierre Comon

    A Random Matrix Perspective on Random Tensors

    Journal of Machine Learning Research, 2022, 23 (264), pp.1-36


  • 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
  • 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


  • 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⟩


  • Mame Diarra Fall, Nicolas Dobigeon, Pascal Auzou

    A Bayesian estimation formulation to voxel-based lesion-symptom mapping

    30th European Signal Processing Conference (EUSIPCO 2022), European Association for Signal Processing (EURASIP), Aug 2022, Belgrade, Serbia


  • Elsa Cazelles, Felipe Tobar, Joaquin Fontbona

    A novel notion of barycenter for probability distributions based on optimal weak mass transport

    Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), NIPS: Neural Information Processing Systems Foundation, Dec 2021, Online, France. ⟨10.48550/arXiv.2102.13380⟩


  • Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso

    Unbalanced Optimal Transport through Non-negative Penalized Linear Regression

    Advances in Neural Information Processing Systems (NeurIPS), Dec 2021, Online, France


  • Arthur Louchart, Philippe Ciblat, Charly Poulliat

    Power Allocation for Multibeam Satellite Communications with Nonlinear Impairments

    25th International ITG Workshop on Smart Antennas (WSA 2021), Nov 2021, Sophia Antipolis, France


  • Thomas Oberlin, Mathieu Verm

    Regularization via Deep Generative Models: an Analysis Point of View

    28th IEEE International Conference on Image Processing (ICIP 2021), IEEE Signal Processing Society, Sep 2021, Anchorage, United States. pp.404-408, ⟨10.1109/ICIP42928.2021.9506138⟩


  • José Henrique de M Goulart, Phillip Mark Seymour Burt

    Volterra kernels of bilinear systems have tensor train structure

    29th European Signal Processing Conference (EUSIPCO 2021), Aug 2021, Dublin, Ireland


  • National conferences articles
  • Florentin Coeurdoux, Nicolas Dobigeon, Pierre Chainais

    Approximation du transport optimal entre distributions empiriques par flux de normalisation

    XXVIIIème Colloque Francophone de Traitement du Signal et des Images (GRETSI 2022), Sep 2022, Nancy, France


  • Serdar Sahin, Antonio Cipriano, Charly Poulliat

    Optimization and Analysis of Deep Unfolding Based Double Loop Turbo Equalizers

    Journées scientifiques d’URSI-France – Workshop: Réseaux du futur : 5G et au-delà (URSI-France 2020), Mar 2020, Palaiseau, France. pp.1-7


  • Maxime Vono, Nicolas Dobigeon, Pierre Chainais

    Un modèles augmenté asymptotiquement exact pour la restauration bayésienne d’images dégradées par un bruit de Poisson

    27e colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2019), Aug 2019, Lille, France. pp.1-4


  • Maxime Vono, Nicolas Dobigeon, Pierre Chainais

    Modèles augmentés asymptotiquement exacts

    27e colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2019), Aug 2019, Lille, France. pp.1-4


  • Adrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon

    Cofactorisation de matrices pour le démélange et la classification conjoints d’images hyperspectrales (GRETSI 2019)

    27e colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2019), Aug 2019, Lille, France. pp.1-4


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

    Fusion d’images multispectrales et hyperspectrales pour l’observation en astronomie infrarouge

    27e colloque du Groupe de Recherche et d’Etudes du Traitement du Signal et des Images (GRETSI 2019), Aug 2019, Lille, France. pp.1-4


  • Etienne Monier, Thomas Oberlin, Nathalie Brun, Marcel Tencé, Marta de Frutos, Nicolas Dobigeon

    Reconstruction de spectres-images STEM-EELS partiellement échantillonnés

    16e Colloque de la Société Française des Microscopies (SFU 2019), Jul 2019, Poitiers, France. pp.74-75


  • Maxime Vono, Nicolas Dobigeon, Pierre Chainais

    On variable splitting for Markov chain Monte Carlo

    Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Apr 2019, Toulouse, France. pp.1-2


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

    Fusion of hyperspectral and multispectral infrared astronomical images (SPARS 2019)

    Workshop on Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), Apr 2019, Toulouse, France. pp.0


  • Christine Sènac, Thomas Pellegrini, Julien Pinquier, Florian Mouret

    Réseaux de neurones convolutifs et paramètres musicaux pour la classification en genres

    XXVIe Colloque GRETSI sur le Traitement du Signal et des Images (GRETSI 2017), Sep 2017, Juan-les-pins, France. pp.1-5


  • Books
  • 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


  • 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


  • 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
  • Etienne Monier

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

    Traitement des images [eess.IV]. Toulouse INP, 2020. Français. ⟨NNT : ⟩


  • 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 : ⟩


  • Pierre-Antoine Thouvenin

    Modeling spatial and temporal variabilities in hyperspectral image unmixing

    Signal and Image Processing. Institut national polytechnique de Toulouse (INPT), 2017. English. ⟨NNT : ⟩


  • Thesis and HDR
    • Jean-Adrien Vernhes

      Échantillonnage Non Uniforme : Application aux filtrages et aux conversions CAN/CNA (Convertisseurs Analogique-Numérique et Numérique/Analogique) dans les télécommunications par satellite

      Master’s Thesis, Institut National Polytechnique de Toulouse, January 2016.


    • Mohanad Y.S. Albughdadi

      Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints

      Master’s Thesis, Institut National Polytechnique de Toulouse, September 2016.


    • Sébastien Combrexelle

      Analyse multifractale de données multivariées avec application à la télédétection

      Master’s Thesis, Institut National Polytechnique de Toulouse, October 2016.

      URL :

    • Ningning Zhao

      Deconvolution, Segmentation and Restoration of Ultrasound Images

      Master’s Thesis, Institut National Polytechnique de Toulouse, October 2016.


    • Marion Roudier

      Définition de signaux et de techniques de traitement innovants pour les futurs systèmes GNSS

      Master’s Thesis, Université de Toulouse, January 2015.

      Abstract URL :

    • Nil Garcia

      Optimization Methods for Active and Passive Localization

      Master’s Thesis, Institut National Polytechnique de Toulouse, April 2015.

      URL :

    • Jorge Prendes

      New statistical modeling of multi-sensor images with application to change detection

      Master’s Thesis, Université Paris-Saclay, Paris, October 2015.


    • Tarik Benaddi

      Sparse graph-based coding schemes for continuous phase modulations

      Master’s Thesis, Institut National Polytechnique de Toulouse, December 2015.

      URL :

    • Qi Wei

      Bayesian Fusion of Multi-band Images: A Powerful Tool for Super-resolution

      Master’s Thesis, Institut National Polytechnique de Toulouse, September 2015.

      URL :

    • Olivier Chabiron

      Apprentissage d’Arbres de Convolutions pour la Représentation Parcimonieuse

      Master’s Thesis, Institut National Polytechnique de Toulouse, October 2015.


    Reports Other publications

    Contracts team

    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