Indo-French Workshop on Navigating rugged landscapes
Indo-French Workshop on Navigating Rugged Landscapes (NRL): Machine learning approach to dynamics and enhanced sampling in disordered systems, and statistical physics approaches to machine learning
Workshop Webpage: https://sites.google.com/view/nrl2025
About the Workshop:
The workshop aims to bring together experts working in seemingly different domains of glassy dynamics, biophysics, and machine learning to address the common underlying threads; investigating the rugged landscape to learn the behavior of dynamical systems. This will lead to an exchange of ideas across domains, focussing on cross-cutting themes such as similarities between the loss landscapes of machine learning and glassy landscapes, relationships between the stability of neural networks to adversarial attacks and the perturbation in glassy landscapes, use of generative models for out-of-distribution samples for enhanced sampling of rare events, and characterization of glass structure and dynamics by learnable and interpretable low-dimensional features. The workshop will systematically address these questions and initiate discussions to identify the key problems to be addressed.
The talks will be broadly organized around the following themes:
Theme I: Machine learning investigation of glasses and other disordered systems
Theme II: Enhanced Sampling with Machine Learning
Theme III: Statistical Physics of Machine Learning
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Page last updated date:17-11-2025 06:46 PM

