Publications

  • Molecular set representation learning
    M. Boulougouri, P. Vandergheynst, D. Probst
    Nature Machine Intelligence, 5 July 2024
    [paper] [open access] [code]
  • Explaining models relating objects and privacy
    A. Xompero, M. Bontonou, J. Arbona, E. Benetos, A. Cavallaro
    The 3rd Explainable AI for Computer Vision (XAI4CV) Workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 18 June 2024
    [arxiv] [open access] [poster] [video] [code] [webpage] [XAI4CV]
  • Temporal network compression via network hashing
    R. Vaudaine, P. Borgnat, P. Gonçalves, R. Gribonval, M. Karsai
    Applied Network Science, Volume 9, Number 3, January 2024
    [paper] [open access]
  • ATGNN: Audio Tagging Graph Neural Network
    S. Singh, C. J. Steinmetz, E. Benetos, H. Phan, D. Stowell
    IEEE Signal Processing Letters, Volume 31, January 2024
    [paper] [open access]
  • Mosaic Benchmark Networks: Modular Link Streams for Testing Dynamic Community Detection Algorithms
    Y. Asgari, R. Cazabet, P. Borgnat
    International Conference on Complex Networks and Their Applications, 2023
    [paper] [open access]
  • Perceptual Musical Similarity Metric Learning with Graph Neural Networks
    C. Vahidi, S. Singh, E. Benetos, H. Phan, D. Stowell, G. Fazekas, M. Lagrange
    IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, NY, USA, October 2023
    [paper] [open access] [code]
  • Human-interpretable and deep features for image privacy classification
    D. Baranouskaya, A. Cavallaro
    IEEE International Conference on Image Processing (ICIP), Kuala Lampur, Malaysia, 8-11 October 2023
    [paper] [open access] [poster]
  • Black-Box Attacks on Image Activity Prediction and its Natural Language Explanations
    A. E. Baia, V. Poggioni, A. Cavallaro
    IEEE/CVF International Conference on Computer Vision (ICCV) Workshop on Adversarial Robustness in the Real World (AROW), Paris, France, 2 October 2023
    [paper] [open access] [poster]
  • Clustering with Simplicial Complexes
    T. S. Reddy, S. P. Chepuri, P. Borgnat
    European Signal Processing Conference (EUSIPCO), Helsinki, Finland, September 2023
    [paper] [open access]
  • Expliquer la classification d'expression de gènes par la méthode des gradients intégrés
    M. Bontonou, J. Arbona, B. Audit, P. Borgnat
    GRETSI, 29e Colloque sur le traitement du signal et des images, Grenoble, France 28 August - 1 September 2023
    [paper] [open access] [poster] [code]
  • Exploring Explainability and its Limits in Machine Learning in Gene Expression Models
    M. Bontonou, J. Arbona, B. Audit, P. Borgnat
    Intelligent Systems For Molecular Biology (ISMB) and European Conference on Computational Biology (ECCB), Lyon, France 23-27 July 2023
    [link] [poster]
  • Harmonic analysis on directed graphs and applications: From Fourier analysis to wavelets
    H. Sevi, G. Rilling, P. Borgnat
    Applied and Computational Harmonic Analysis, Volume 62, January 2023
    [paper] [open access]
  • A Simple Way to Learn Metrics Between Attributed Graphs
    Y. Kaloga, P. Borgnat, A. Habrard
    Proceedings of the First Learning on Graphs Conference (LoG 2022), Virtual Event, December 9–12, 2022
    [paper] [open access] [poster] [code]
  • Introducing Alternative Value Proposition Canvases for Collaborative and Blended Design Thinking Activities in Science and Engineering Education
    D. Gillet, I. Vonèche Cardia, J. A. La Scala
    IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) 2022: Transforming Educational Technologies and Pedagogies for the Next Decade, Hong Kong, December 4-7, 2022
    [paper] [open access] [poster]
  • Content-based Graph Privacy Advisor
    D. Stoidis, A. Cavallaro
    IEEE International Conference on Multimedia Big Data (BigMM), Naples, Italy, 5-7 December 2022
    [paper] [open access] [code] [trained models]
  • Reframing the narrative of privacy through system-thinking design
    L. Ferrarello, R. Fiadeiro, R. Mazzon, A. Cavallaro
    DRS2022, Bilbao, Spain, 25 June-3 July 2022
    [paper] [open access] [You and Your Images]

Publications related to the project from the team members

  • Learning smooth graphs with sparse temporal variations to explore long-term financial trends
    C. Bastidon, M. Bontonou, P. Borgnat, P. Jensen, P. Abry, A. Parent
    European Signal Processing Conference, Lyon, France, 26-30 August 2024