A minimal surface is the surface of minimal area between any given boundaries. In nature such shapes result from an equilibrium of homogeneous tension, e.g. in a soap film. Minimal surfaces have a constant mean curvature of zero, i.e. the sum of the principal curvatures at each point is zero. Particularly fascinating are minimal surfaces…
The program focused on the following four themes:
- Optimization: How and why can deep models be fit to observed (training) data?
- Generalization: Why do these trained models work well on similar but unobserved (test) data?
- Robustness: How can we analyze and improve the performance of these models when applied outside their intended conditions?
- Generative methods: How can deep learning be used to model probability distributions?
A. Adamatzky, P. Ayres, G. Belotti, and H. Wosten. (2019)cite arxiv:1912.13262Comment: The position paper to be published in the International Journal of Unconventional Computing.
S. Kuutti, R. Bowden, Y. Jin, P. Barber, and S. Fallah. (2019)cite arxiv:1912.10773Comment: 23 pages, 3 figures, Accepted in IEEE Transactions on Intelligent Transportation Systems.
A. Slivkins. (2019)cite arxiv:1904.07272Comment: The manuscript is complete, but comments are very welcome! To be published with Foundations and Trends in Machine Learning.