UNIST Workshop on String Theory, Geometry and Machine Learning 2023
machine learning HEP - theory mathematical physics algebraic geometry computational physics
Ulsan National Institute of Science and Technology (UNIST)
Audience: | Researchers in the topic |
Conference dates: | 29-Jun-2023 to 01-Jul-2023 |
Organizer: | Rak-Kyeong Seong* |
*contact for this listing |
The aim of the workshop is to bring together researchers working on machine learning applications in string theory and geometry with AI experts in industry.
** Please register here: sites.google.com/view/uniststml2023/ **
Ulsan National Institute of Science and Technology (UNIST) Department of Mathematical Sciences Ulsan, South Korea
Upcoming talks
Past talks
Your time | Speaker | Title | |||
---|---|---|---|---|---|
Sat | Jul 01 | 02:00 | Eun-Soo Jung | AI for Chat-bots: from Smart Assistants to Friends | |
Sat | Jul 01 | 01:10 | Per Berglund | On Machine Learning Kreuzer-Skarke Calabi-Yau Manifolds | |
Fri | Jun 30 | 06:50 | Andre Lukas | Decoding Nature with Nature's Tools: String Models of Particle Physics with Genetic Algorithms and Quantum Annealing | |
Fri | Jun 30 | 06:00 | Elli Heyes | New Calabi-Yau Manifolds from Genetic Algorithms | |
Fri | Jun 30 | 05:10 | Namkyeong Cho | Using Reinforcement Learning and Graph Neural Networks in Integer Programming with some Industrial Applications | |
Fri | Jun 30 | 02:50 | Andreas Schachner | JAXVacua -- A Framework for Sampling String Vacua | |
Fri | Jun 30 | 02:00 | Fabian Ruehle | Searching for Ribbons with Machine Learning | |
Fri | Jun 30 | 01:10 | James Halverson | Φ^4 Theory as a Neural Network Field Theory | |
Thu | Jun 29 | 07:00 | Gary Shiu | The Topology of Data: from String Theory to Cosmology to Phases of Matter | |
Thu | Jun 29 | 06:00 | Sergei Gukov | Learning AC moves | |
Thu | Jun 29 | 05:10 | Andrei Constantin | Machine Learning for Bundles and Manifolds in String Theory |
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