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diiP Summer School 2024 - dSDS

10–14 juin 2024
Paris
Fuseau horaire Europe/Paris

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Liste des Contributions

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  1. 1. AI for Research
    Themis Palpanas (LIPADE - Paris Descartes University), Yvonne Becherini (Université Paris Cité)
    10/06/2024 14:30
  2. 2. Large Language Models (LLMs)
    Prof. Benoît Crabbé (Université Paris Cité)
    10/06/2024 16:30

    Large language models have become ubiquitous. This lecture introduces to language modelling and large language models. We will discover what they are, where they come from and the primary motivations behind their design. We then provide an overview of the properties of these models when trained at the current scale of very large language models.
    If time remains, we introduce the problematic...

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  3. 3. Supervised Learning
    Prof. Alexandros Iosifidis (Aarhus University)
    11/06/2024 09:00
  4. 4. Supervised Learning, Hands-on session
    Prof. Alexandros Iosifidis (Aarhus University)
    11/06/2024 11:00
  5. 5. AI in Medicine/Biology
    Prof. Guillaume Assié (Institut Cochin, Inserm CNRS Université de Paris Cité)
    11/06/2024 12:00
  6. 6. Representation Learning
    Dr Jenni Raitoharju (University of Jyväskylä)
    11/06/2024 14:30
  7. 7. Representation Learning - Hands-on session
    Dr Jenni Raitoharju (University of Jyväskylä)
    11/06/2024 16:30
  8. 8. Knowledge-guided Data Science
    Shen Liang
    12/06/2024 09:00

    This lecture presents an overview of knowledge-guided data science, a rising methodology in machine learning which fuses data with domain knowledge. We will present numerous case studies on this methodology to showcase how to unleash its potential in real-world data science applications.

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  9. 9. Knowledge-guided Data Science - Hands-on session (Basic)
    Shen Liang
    12/06/2024 11:00
  10. 11. High-Dimensional Vector Similarity Search
    Themis Palpanas (LIPADE - Paris Descartes University)
    12/06/2024 14:30

    Very large amounts of high-dimensional data are now omnipresent
    (ranging from traditional multidimensional data to time series and deep
    embeddings), and the performance requirements (i.e., response-time and
    accuracy) of a variety of applications that need to process and analyze
    these data have become very stringent and demanding. In the past years, high-dimensional similarity search has...

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  11. 12. An Overview of Anomaly Detection for Time Series
    Dr Paul Boniol (INRIA & ENS)
    13/06/2024 09:00

    Anomaly detection is an important problem in data analytics with applications in many domains. In recent years, there has been an increasing interest in anomaly detection tasks applied to time series. In this talk, we take a holistic view of anomaly detection in time series, starting from the core definitions and taxonomies related to time series and anomaly types, to an extensive description...

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  12. 14. Time Series Anomaly Detection in Practice - Hands-on session
    Dr Paul Boniol
    13/06/2024 11:00
  13. 13. AI in Industry
    Dr Paul Poncet (Engie)
    13/06/2024 12:00
  14. 15. Graph Neural Networks
    Prof. Michalis Vazirgiannis
    13/06/2024 14:30
  15. 16. Graph Generative AI + Applications
    Prof. Michalis Vazirgiannis (École polytechnique, Palaiseau)
    13/06/2024 16:30
  16. 17. Generative adversarial networks and Active Learning
    Prof. Amal Saadallah (TU Dortmund University)
    14/06/2024 09:00
  17. 18. Generative adversarial networks and Active Learning - Hands-on session
    Prof. Amal Saadallah (TU Dortmund University)
    14/06/2024 11:00
  18. 19. AI in Particle Physics
    Dr Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3)
    14/06/2024 12:00

    Particle physics deals with gigantic machines, large quantities of experimental data and computer simulations, complex and lengthy theoretical calculations. It is the perfect playground to take advantage of machine learning algorithms. After a short introduction to high energy physics, this lecture will show how one can speed up steps like event generation or detector simulation, better...

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  19. 10. Language Models