SCGP

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All videos are the property of the Simons Center for Geometry and Physics. Redistribution, uploading to youtube, or commercial use is prohibited without written consent from the Simons Center for Geometry and Physics.
Newest Videos
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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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Gauged linear sigma model and gauged Witten equation - Guangbo Xu
Name: Guangbo Xu
Event: Gauged linear sigma model and gauged Witten equation
Title: Review of FJRW theory
Date: 2020-01-22 @1:00 PM
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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Gauged linear sigma model and gauged Witten equation - Guangbo Xu
Name: Guangbo Xu
Event: Gauged linear sigma model and gauged Witten equation
Title: Review of symplectic vortex equation
Date: 2020-01-21 @1:00 PM
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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SCGP Weekly Talk - Jeffrey Pennington
Name: Jeffrey Pennington
Event: SCGP Weekly Talk
Title: The Surprising Simplicity of Overparameterized Deep Neural Networks
Date: 2020-01-14 @1:00 PM
Location: 102
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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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Strings, Geometry, and Data Science - Nikhil Raghuram
Name: Nikhil Raghuram
Event: Workshop: strings, geometry, and data science
Title: On Calabi-Yau Metrics and Neural Networks
Date: 2020-01-08 @4:00 PM
Location: 102
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Strings, Geometry, and Data Science - Thomas Rudelius
Name: Thomas Rudelius
Event: Workshop: strings, geometry, and data science
Title: Learning to Inflate
Date: 2020-01-08 @2:45 PM
Location: 102
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All videos are the property of the Simons Center for Geometry and Physics. Redistribution, uploading to youtube, or commercial use is prohibited without written consent from the Simons Center for Geometry and Physics.