A way to informally meet up and share our knowledge in the mathematical background of machine learning. We mostly approach the problem from the point of view of dynamical systems.
Join us on Mondays, 14:30 in the Math Department common room, TUM, Gaching Forschungszentrum with your favorite (filled) mug.
In our previous discussions, we looked at these papers:
Chen, R. T., Rubanova, Y., Bettencourt, J., & Duvenaud, D. K. (2018). Neural ordinary differential equations. Advances in neural information processing systems, 31.
Yan, H., Du, J., Tan, V. Y., & Feng, J. (2019). On robustness of neural ordinary differential equations. arXiv preprint arXiv:1910.05513.
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Chic