Looking into the Pandora Box: The Generalization Problem

• Filippo Fabrocini (Tongji University, China)

Network geometry

• Carlo Cannistraci (Tsinghua University, Beijing, China)

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

• Felipe Freitas (EDF Energy, London, UK)

Neural networks, quantum systems, and gravity

• Koji Hashimoto (Kyoto University, Japan)

Quantum Machine Learning

• Filippo Caruso (University of Firenze, Italy)

Network topology and sparse training

• Carlo Cannistraci (Tsinghua University, Beijing, China)

Applications of Fourier analytic Barron Space Theory

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

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

• Felipe Freitas (EDF Energy, London, UK)

Data driven tools for Eulerian and Lagrangian Turbulence

• Luca Biferale (Università di Roma Tor Vergata, Italy)

Data driven tools for Eulerian and Lagrangian Turbulence

• Luca Biferale (Università di Roma Tor Vergata, Italy)

Analytical approaches to the learning dynamics of neural networks - I

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

Data, relations and their shape

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

Data modeling with Energy Based Models

• Beatriz Seoane Bartolomé (Paris-Saclay University, France)

On the effect of MCMC in the training of EBMs

• Beatriz Seoane Bartolomé (Paris-Saclay University, France)

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

• Yanick Thurn (Julius-Maximilians university of Wuerzburg)

Statistical Physics for Machine Learning

• Aurélien Decelle (Universidad Complutense, Madrid, Spain)

From Sparse Modeling to Sparse Communication

• Andre Martins (Instituto Superior Técnico, Lisbon, Portugal)

Analytical approaches to the learning dynamics of neural networks - II

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

Modelling complex systems as interacting agents

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