Strings, Geometry, and Data Science: January 6-8, 2020

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Organized by: Michael R. Douglas, Sergei Gukov, James Halverson, Sven Krippendorf, and Fabian Ruehle

Recent years have seen great progress in data science (DS), specifically within the context of machine learning (ML) and artificial intelligence, which is beginning to lead to breakthroughs in mathematics and theoretical physics. In light of this growing subfield, this conference focuses on the application of DS techniques to string theory, topology, and geometry. Focus will be on applications of data science in three areas: string vacua, holography, and mathematical aspects of string theory. Topics include connections between geometric data and low energy effective theories, as well as their implications for particle physics and cosmology; directions in holography, including both formal relationships between deep learning and AdS / CFT, as well as application in real-world quantum field theory systems such as QCD; and applications in mathematical aspects of field theory and string theory, including the conformal bootstrap and knot theory. Previous progress will be highlighted and new research directions will be spurred.

This workshop is part of the program: Neural networks and the Data Science Revolution: from theoretical physics to neuroscience, and back: January 6-31, 2020

Talk Schedule


Time Title Speaker Location
10:30am Coffee Break N/A SCGP Cafe
11:00am TBA Gary Shiu SCGP 102
11:45am Deep learning and AdS/CFT Koji Hashimoto SCGP 102
12:30pm Lunch Break N/A SCGP Cafe
2:00pm Casimir effect and 3d QED from machine learning Harold Erbin SCGP 102
2:45pm String Data and Machine Learning Andre Lukas SCGP 102
3:30pm Coffee Break N/A SCGP Cafe
4:00pm Discussion N/A SCGP 102

Time Title Speaker Location
9:45am Knots and data science? Piotr Sulkowski SCGP 102
10:30am Coffee Break N/A SCGP Cafe
11:00am Machine and reinforcement learning for constructive proofs in topology Mark Hughes SCGP 102
11:45am Strings and Restricted Boltzman Machines? David Berman SCGP 102
12:30pm Lunch Break N/A SCGP Cafe
2:00pm TBA Miranda Cheng SCGP 102
2:45pm Gong Show N/A SCGP 102
3:30pm Coffee Break N/A SCGP Cafe
4:00pm Landscape-flux of nonequilibrium multiverse and time arrow Jin Wang SCGP 102

Time Title Speaker Location
9:45am Machine Learning towards particle physics from strings Patrick Vaudrevange SCGP 102
10:30am Coffee Break N/A SCGP Cafe
11:00am Deep learning quantum geometry in matrix models Xizhi Han SCGP 102
11:45am TBA Vishnu Jejjala SCGP 102
12:30pm Lunch Break N/A SCGP Cafe
2:00pm Inflation as an information bottleneck Alexander Westphal SCGP 102
2:45pm Learning to Inflate Tom Rudelius SCGP 102
3:30pm Coffee Break N/A SCGP Cafe
4:00pm On Calabi-Yau Metrics and Neural Networks Nikhil Raghuram SCGP 102
5:00pm Outlook Mike Douglas SCGP 102


Poster Sessions


Time Title Speaker Location
11:30am Julia sets of transcendental entire functions with fractional packing dimensions Daniel Klaewer SCGP 102
2:51pm Detecting Symmetries with NN-Classifications Marc Syvaeri SCGP 102
2:57pm RL exploration of chiral gauge theories Anindita Maiti SCGP 102
3:03pm TBA John Field SCGP 102
3:09pm Machine Learning Calabi-Yau Hypersurfaces Mehmet Demirtas N/A
3:15pm TBA Yuan Xin SCGP 102
3:21pm TBA Andreas Schachner SCGP 102
3:27pm TBA Alex Cole SCGP 102