Name: Flatiron Wide Algorithms and Mathematics
Start: 2020-10-19T00:00:00-04:00
End: 2020-10-20T23:59:59-04:00
Location: Virtual

Erik Thiede: Advanced Methods in Markov Chain Monte Carlo

Jason Kaye: Hierarchical Low Rank Compression, With an Application in Quantum Many-Body Physics

Risi Kondor: Equivariant Neural Networks for Learning Physical Systems

Ashley Villar: Recurrent VAE for Anomaly Detection in Supernova Time Series

Bob Carpenter: Probabilistic Programming and Bayesian Interference with Stan

Marylou Gabrié: Inverse Problems, Sparsity and Neural Network Priors

Stephane Mallat: A Harmonic Analysis View of Deep Network Theory

Miles Cranmer: Interpretable Machine Learning, Using Symbolic Regression and Graph Neural Networks

Zijun Zhang: AutoML for Functional Genomics

Miles Stoudenmire: Tensor Networks and iTensor

Shirley Ho: Learning Symbolic Equations with Deep Learning

Flatiron Wide Algorithms and Mathematics