Yuri Kalnishkan: Predictive Complexity Measures
48:16
Jean-Louis Dessalles: Some current limits of Machine Learning and beyond, in the light of AIT
21:36
Amir Joudaki: Entropy Maximization with Depth: A Variational Principle for Random Neural Networks
31:18
The Story of Shor's Algorithm, Straight From the Source | Peter Shor
31:31
Peter Bloem: Kolmogorov complexity: approximation, separation and identification
1:10:51
K. Dingle and A. Louis: Why the world is simple ? The AIT coding theorem.
7:01
I attended Trump’s inauguration yesterday. Here are my thoughts.
34:30
R. Dwivedi: Revisiting minimum description length complexity in overparameterized models
30:18