1. Bruno Loureiro - Statistical Physics of Machine Learning, Other reading material: https://arxiv.org/abs/1511.02476Reflections After Refereeing Papers for NIPS
  2. Deepak Dhar - Introduction to Percolation Theory, 1, 2, 3, 4, 5
  3. Massimiliano Esposito - Macroscopic Stochastic Thermodynamics
    Lecture Notes: MacrosStochThermoNotesSep24.pdf
    Presentation: Bangalore.pdf
    Review article: MacronDemon.pdf
  4. Gregory Falkovich - Information Theory
  5. Prabha Mandayam - Bell's Inequalities and Quantum Entanglement
  6. P. K. Mohanty - Exact steady states: Matrix product ansatz and other methods