NEWS
BLOG ARTICLES
Neural Autoregressive Distribution Estimators
Modeling states (ground or thermal) in computational physics requires calculating the partition function - an expression that scales exponentially with the number ...
Probing Topological Properties of the 3D Lattice Dimer Model With Neural Networks
Imagine a plane tiled with squares. Such arrangement may be covered with dominoes ...
The Theory of Deep Learning - Part I
Why do modern deep neural networks (DNNs) perform so well on previously unseen test data, even when their number of weights is much larger than the number of data ...
WHO WE ARE
Meet the team of physicists contributing to this blog, working at the intersection of machine learning and quantum physics, across three institutes:
Perimeter Institute: leading research, training and outreach in foundational theoretical physics. The Flatiron Institute: advancing scientific research through computational methods. Vector Institute: driving excellence and leadership in knowledge, creation, and use of artificial intelligence.
These are the papers that we are reading, and the ideas that we are talking about.
