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

Contribution List

3. Looking into the Pandora Box: The Generalization Problem

Filippo Fabrocini (Tongji University, China)

23/04/2024, 09:00

4. Network geometry

Carlo Cannistraci (Tsinghua University, Beijing, China)

23/04/2024, 11:30

5. Large Language Models and Deep Learning for computer vision and time series: from academia to industry - I

Felipe Freitas (EDF Energy, London, UK)

23/04/2024, 14:00

6. Neural networks, quantum systems, and gravity

Koji Hashimoto (Kyoto University, Japan)

23/04/2024, 16:30

7. Quantum Machine Learning

Filippo Caruso (University of Firenze, Italy)

24/04/2024, 09:00

8. Network topology and sparse training

Carlo Cannistraci (Tsinghua University, Beijing, China)

24/04/2024, 11:30

9. Applications of Fourier analytic Barron Space Theory

Jonathan Andrew Miller (Euler Scientific, Fremont, CA, USA)

24/04/2024, 14:00

10. Large Language Models and Deep Learning for computer vision and time series: from academia to industry - II

Felipe Freitas (EDF Energy, London, UK)

24/04/2024, 16:30

11. Data driven tools for Eulerian and Lagrangian Turbulence

Luca Biferale (Università di Roma Tor Vergata, Italy)

25/04/2024, 09:00

12. Data driven tools for Eulerian and Lagrangian Turbulence

Luca Biferale (Università di Roma Tor Vergata, Italy)

25/04/2024, 11:30

13. Analytical approaches to the learning dynamics of neural networks - I

Sebastian Goldt (International School of Advanced Studies, Trieste, Italy)

25/04/2024, 14:00

14. Data, relations and their shape

Radmila Sazdanovic (North Carolina State University, Raleigh, NC, USA)

25/04/2024, 16:30

15. Data modeling with Energy Based Models

Beatriz Seoane Bartolomé (Paris-Saclay University, France)

26/04/2024, 09:00

16. On the effect of MCMC in the training of EBMs

Beatriz Seoane Bartolomé (Paris-Saclay University, France)

26/04/2024, 11:30

17. Flash talk: Predicting trainability of neural networks by tracing information flows

Yanick Thurn (Julius-Maximilians university of Wuerzburg)

26/04/2024, 12:30

18. Statistical Physics for Machine Learning

Aurélien Decelle (Universidad Complutense, Madrid, Spain)

27/04/2024, 09:00

19. From Sparse Modeling to Sparse Communication

Andre Martins (Instituto Superior Técnico, Lisbon, Portugal)

27/04/2024, 11:30

20. Analytical approaches to the learning dynamics of neural networks - II

Sebastian Goldt (International School of Advanced Studies, Trieste, Italy)

27/04/2024, 14:00

21. Modelling complex systems as interacting agents

Christopher Fields (Tufts University, Medford, MA, US)

27/04/2024, 16:30