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15:40
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Welcome
-
Fabian Ruhle
(CERN)
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15:45
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Numerical Calabi-Yau Metrics from Holomorphic Networks
- Mr
Michael Douglas
(Simons Center / CMSA Harvard )
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16:15
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Calabi-Yau Metrics from Machine Learning
- Dr
Sven Krippendorf
(LMU Munich )
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16:45
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Reinforcement learning heterotic line bundle models
- Dr
Magdalena Larfors
(Uppsala University )
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17:15
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--- Coffee break ---
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17:30
|
NN-QFT Correspondence
- Prof.
Jim Halverson
(Northeastern University)
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18:00
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Feature Learning in Infinite-Width Neural Networks
- Mr
Greg Yang
(Microsoft Research)
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18:30
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Short talks
(until 19:05)
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18:30
|
Quantitative and Interpretable Order Parameters for Phase Transitions from Persistent Homology
- Dr
Alex Cole
(University of Amsterdam)
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|
18:35
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Algorithmically solving the Tadpole Problem
- Dr
Severin Lust
(Harvard University)
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|
18:40
|
Baryons as Solitons in the Meson Spectrum: A ML Perspective
- Dr
Damian Mayorga Pena
(WITS University)
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|
18:45
|
Vector-like spectra in F-theory 1
- Dr
Martin Bies
(University of Pennsylvania)
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|
18:50
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Vector-like spectra in F-theory 2
- Ms
Muyang Liu
(University of Pennsylvania)
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|
18:55
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Output dimension effects in untrained Neural Networks
- Ms
Anindita Maiti
(Northeastern University)
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|
19:00
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Fixed Points in Neural Network Non-Gaussian Processes
- Mr
Keegan Stoner
(Northeastern University)
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