Bilde av Ricaud, Benjamin
Photo: Benjamin Ricaud
Bilde av Ricaud, Benjamin
Associate Professor / Group Leader Machine Learning Department of Physics and Technology benjamin.ricaud@uit.no +4777625247

Benjamin Ricaud


Job description

 

Member of the Machine learning group at UiT and Visual Intelligence.

Personal website:

https://bricaud.github.io/

Research interests:

  • Machine learning, data analysis
  • Graph signal processing and machine learning
  • Explainability in machine learning/deep learning

 

Teaching:

  • Image Processing FYS-2010
  • Pattern Recognition FYS-3012 (fall 2022)
  • Machine Learning FYS-2021 (Starting fall 2023)

 


  • Eduard Khachatrian, Patricia Lea Elisabeth Asemann, Zhou Lihong, Yngve Birkelund, Igor Ezau, Benjamin Ricaud :
    Exploring the Potential of Sentinel-1 Ocean Wind Field Product for Near-Surface Offshore Wind Assessment in the Norwegian Arctic
    Atmosphere 2024 ARKIV / DOI
  • Iver Martinsen, David Wade, Fred Godtliebsen, Benjamin Ricaud :
    The 3-billion fossil question: How to automate classification of microfossils
    Artificial Intelligence in Geosciences 2024 ARKIV / DOI
  • Benjamin Ricaud, Magnus Aamo Holte, Samuel Kuttner :
    Nordnorsk vitensenter: Klar med KI-utstilling
    18. September 2024
  • Benjamin Ricaud :
    Graphs, graph signal processing and graph machine learning
    2024 FULLTEKST
  • Magnus Aamo Holte, Benjamin Ricaud, Samuel Kuttner, tove e Marienborg, Erik Amandus Heggeli :
    Klar med KI-utstilling
    18. September 2024
  • Benjamin Ricaud :
    A short introduction to AI generative models
    2023
  • Benjamin Ricaud, Lars Ailo Aslaksen Bongo :
    Pitch day UiT
    2023
  • Benjamin Ricaud, Lars Ailo Aslaksen Bongo :
    Innovation evening at IFI
    2023
  • Iver Martinsen, Benjamin Ricaud, David Wade, Fred Godtliebsen :
    An efficient pipeline for microfossil analysis
    2023
  • Benjamin Ricaud, Filippo Maria Bianchi :
    Learning on Graphs (LoG) meetup in Tromsø
    2023
  • Benjamin Ricaud :
    Some limitations of large language models and what to expect from them is the next months
    2023
  • Tetiana Lutchyn, Benjamin Ricaud, Marie Mardal, Michael Nedahl :
    Analysing drugs properties using mass spectrometry and molecular structure
    2023
  • Benjamin Ricaud, Volodymyr Miz, Filippo Maria Bianchi, Nicolas Aspert :
    Introduction to Graph Machine Learning
    2022 DATA
  • Mathias Novik Jensen, Benjamin Ricaud, Olav Gaute Hellesø :
    De-noising and differentiation of low-SNR Raman-spectra of EV's
    2022
  • Benjamin Ricaud :
    Graph machine learning
    2021

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    Research interests

    Machine Learning, Graph Machine Learning, Generative AI


    Member of research group