Journal Club
We are holding a weekly journal club on machine learning in condensed matter/statistical physics. You are welcome to join us on Mondays 12:00 at HIT E41.1.
We report on the covered papers in the following blog.
Blog on machine learning in condensed matter
Cluster-update recommenders in Monte Carlo simulations
Nobuyuki Yoshioka
Machine Learning with Tensor Networks
Eliska Greplova
Machine learning topological phases
Valerio Peri
Exact Wavefunctions with Deep Neural Networks
Frank Schindler
Reinforcement learning of the many-body wave function on RBMs
Luca Papariello
Supervised 'Machine Learning Phases of Matter'
Mark H Fischer
From PCA to Variational Autoencoders
Sebastian Huber
Machine learning in condensed matter physics
Maciej Koch-Janusz