Complex Systems & Machine Learning

Description 

The workshop on Complex Systems & Machine Learning aims to bring together researchers and students working in statistical physics, non-equilibrium dynamics, complex many-body systems, and machine learning. 

Topics of pedagogical lectures

• Tutorial on Glassy Systems: Smarajit Karmakar (TIFR, Hyderabad)

• Tutorial on Classical and Quantum Chaos: Arul Lakshminarayan (IIT Madras)

• Tutorial on Quantum Thermalization: Sumilan Banerjee (IISc, Bangalore)

• Brief Introduction to Machine Learning: In-house

• Topical seminars to bridge Machine learning methods and the physics of complex systems.