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Tristan Buckmaster | Singularities in fluids
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Classroom Contents
Mathematics and Machine Learning Closing Workshop
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- 1 Giorgi Butbaia | Machine learning smooth 4-genus of a knot
- 2 Petros Koumoutsakos| Learning the effective dynamics of complex systems
- 3 Tristan Buckmaster | Singularities in fluids
- 4 James Halverson | Learning the Topological Invariance of Knots
- 5 Kyu-Hwan Lee | Discovering New Mathematical Structures with Machine Learning
- 6 Eric Vanden Eijnden|Generative modeling w/flows & diffusions, w/applications to scientific computing
- 7 Bin Dong | AI for Mathematics: From Digitization to Intelligentization
- 8 Stephane Mallat | Image Generation by Score Diffusion and the Renormalisation Group
- 9 Wagner et al. | Sparse subgraphs of the d-cube with diameter d
- 10 Angelica Babei | Learning Euler factors of elliptic curves with transformers
- 11 Yang Hui He | AI assisted mathematics
- 12 Edgar Costa | Machine learning L-functions
- 13 Matej Balog | FunSearch: Mathematical discoveries from program search with large language models
- 14 Cengiz Pehlevan | Solvable Models of Scaling and Emergence in Deep Learning
- 15 Fabian Ruehle | Rigorous results from ML using RL
- 16 Ankit Anand and Abbas Mehrabian | From Theorem Proving to Disproving
- 17 Jürgen Jost | Data visualization with category theory and geometry
