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Erice International School on Complexity: the XVIII Course "Machine Learning approaches for complexity"

Apr 22 – 28, 2024
Ettore Majorana Foundation and Centre for Scientific Culture, Erice, Italy
Europe/Stockholm timezone

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Contribution List

19 out of 19 displayed
  1. 3. Looking into the Pandora Box: The Generalization Problem
    Filippo Fabrocini (Tongji University, China)
    4/23/24, 9:00 AM
  2. 4. Network geometry
    Carlo Cannistraci (Tsinghua University, Beijing, China)
    4/23/24, 11:30 AM
  3. 5. Large Language Models and Deep Learning for computer vision and time series: from academia to industry - I
    Felipe Freitas (EDF Energy, London, UK)
    4/23/24, 2:00 PM
  4. 6. Neural networks, quantum systems, and gravity
    Koji Hashimoto (Kyoto University, Japan)
    4/23/24, 4:30 PM
  5. 7. Quantum Machine Learning
    Filippo Caruso (University of Firenze, Italy)
    4/24/24, 9:00 AM
  6. 8. Network topology and sparse training
    Carlo Cannistraci (Tsinghua University, Beijing, China)
    4/24/24, 11:30 AM
  7. 9. Applications of Fourier analytic Barron Space Theory
    Jonathan Andrew Miller (Euler Scientific, Fremont, CA, USA)
    4/24/24, 2:00 PM
  8. 10. Large Language Models and Deep Learning for computer vision and time series: from academia to industry - II
    Felipe Freitas (EDF Energy, London, UK)
    4/24/24, 4:30 PM
  9. 11. Data driven tools for Eulerian and Lagrangian Turbulence
    Luca Biferale (Università di Roma Tor Vergata, Italy)
    4/25/24, 9:00 AM
  10. 12. Data driven tools for Eulerian and Lagrangian Turbulence
    Luca Biferale (Università di Roma Tor Vergata, Italy)
    4/25/24, 11:30 AM
  11. 13. Analytical approaches to the learning dynamics of neural networks - I
    Sebastian Goldt (International School of Advanced Studies, Trieste, Italy)
    4/25/24, 2:00 PM
  12. 14. Data, relations and their shape
    Radmila Sazdanovic (North Carolina State University, Raleigh, NC, USA)
    4/25/24, 4:30 PM
  13. 15. Data modeling with Energy Based Models
    Beatriz Seoane Bartolomé (Paris-Saclay University, France)
    4/26/24, 9:00 AM
  14. 16. On the effect of MCMC in the training of EBMs
    Beatriz Seoane Bartolomé (Paris-Saclay University, France)
    4/26/24, 11:30 AM
  15. 17. Flash talk: Predicting trainability of neural networks by tracing information flows
    Yanick Thurn (Julius-Maximilians university of Wuerzburg)
    4/26/24, 12:30 PM
  16. 18. Statistical Physics for Machine Learning
    Aurélien Decelle (Universidad Complutense, Madrid, Spain)
    4/27/24, 9:00 AM
  17. 19. From Sparse Modeling to Sparse Communication
    Andre Martins (Instituto Superior Técnico, Lisbon, Portugal)
    4/27/24, 11:30 AM
  18. 20. Analytical approaches to the learning dynamics of neural networks - II
    Sebastian Goldt (International School of Advanced Studies, Trieste, Italy)
    4/27/24, 2:00 PM
  19. 21. Modelling complex systems as interacting agents
    Christopher Fields (Tufts University, Medford, MA, US)
    4/27/24, 4:30 PM