Neural networks and the Data Science Revolution: from theoretical physics to neuroscience, and back - Andrej Risteski
Name: Andrej Risteski
Event: Program: Neural networks and the Data Science Revolution: from theoretical physics to neuroscience, and back
Title: Towards a theory of encode/decoder architectures
Date: 2020-01-24 @11:00 AM
Location: 313
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Neural networks and the Data Science Revolution: from theoretical physics to neuroscience, and back - Andrej Risteski
Name: Andrej Risteski
Event: Program: Neural networks and the Data Science Revolution: from theoretical physics to neuroscience, and back
Title: Sampling using Langevin diffusions beyond the worst-case
Date: 2020-01-23 @11:00 AM
Location: 313
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Neural networks and the Data Science Revolution: from theoretical physics to neuroscience, and back - Luca Mazzucato
Name: Luca Mazzucato
Event: Program: Neural networks and the Data Science Revolution: from theoretical physics to neuroscience, and back
Title: Tutorial on modeling and simulating neural population dynamics
Date: 2020-01-22 @11:00 AM
Location: 313
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Neural networks and the Data Science Revolution: from theoretical physics to neuroscience, and back - Danilo Rezende
Name: Danilo Rezende
Event: Program: Neural networks and the Data Science Revolution: from theoretical physics to neuroscience, and back
Title:
Date: 2020-01-16 @11:00 AM
Location: 313
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Neural networks and the Data Science Revolution: from theoretical physics to neuroscience, and back - Jeffrey Pennington
Name: Jeffrey Pennington
Event: Program: Neural networks and the Data Science Revolution: from theoretical physics to neuroscience, and back
Title: Deep learning and operator-valued free probability: training and generalization dynamics in high dimensions. Part II
Date: 2020-01-15 @10:00 AM
Location: 313
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Neural networks and the Data Science Revolution: from theoretical physics to neuroscience, and back - Jeffrey Pennington
Name: Jeffrey Pennington
Event: Program: Neural networks and the Data Science Revolution: from theoretical physics to neuroscience, and back
Title: Deep learning and operator-valued free probability: training and generalization dynamics in high dimensions. Part I
Date: 2020-01-14 @10:00 AM
Location: 102
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