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10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
Tutorial: Introduction to Probabilistic Programming for Bayesian Inference with Stan
Bob Carpenter
10:00 - 11:00
Break/Discussion
11:00 - 11:20
Case Study: Advanced MCMC methods
Erik Thiede
11:20 - 11:50
Case Study: Hierarchical low rank compression and an application in many-body quantum physics
Jason Kaye
11:50 - 12:20
Lunch/Discussion
12:20 - 13:00
Tutorial: Equivariant neural nets for physical systems
Risi Kondor
13:00 - 14:00
Break/Discussion
14:00 - 14:20
Case Study: Recurrent VAE for anomaly detection in supernova time series
Ashley Villar
14:20 - 14:50
Case Study: Differentiable programming for protein structure alignment
Jamie Morton
14:50 - 15:20
Break/Discussion
15:20 - 15:40
Tutorial: A Mathematical Introduction to Variational Quantum Monte Carlo with Deep Neural Networks
James Stokes
15:40 - 16:40
Break/Discussion
16:40 - 17:00
Updating the timetable...
