Flatiron Wide Algorithms and Mathematics
Videos
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Erik Thiede: Advanced Methods in Markov Chain Monte Carlo 
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Jason Kaye: Hierarchical Low Rank Compression, With an Application in Quantum Many-Body Physics 
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Risi Kondor: Equivariant Neural Networks for Learning Physical Systems 
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Ashley Villar: Recurrent VAE for Anomaly Detection in Supernova Time Series 
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Bob Carpenter: Probabilistic Programming and Bayesian Interference with Stan 
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Marylou Gabrié: Inverse Problems, Sparsity and Neural Network Priors 
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Stephane Mallat: A Harmonic Analysis View of Deep Network Theory 
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Miles Cranmer: Interpretable Machine Learning, Using Symbolic Regression and Graph Neural Networks 
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Zijun Zhang: AutoML for Functional Genomics 
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Miles Stoudenmire: Tensor Networks and iTensor 
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Shirley Ho: Learning Symbolic Equations with Deep Learning 
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