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?
In this article we present a technique to triangulate source images, converting them to abstract, someway artistic images composed of tiles of triangles. This will be an attempt to explore the fields between computer technology and art.
- How to give an effective math talk
- General resources on preparing a talk (not specific to mathematics):
- Preparing a poster presentation
- Resources for teachers (relevant literature)
- Using PowerPoint
Machine Learning Summer School (MLSS) is a course about modern methods of statistical machine learning and inference. It presents topics which are at the cor...
J. Su, S. Maji, и B. Hariharan. (2019)cite arxiv:1910.03560Comment: ECCV 2020 camera ready. This is an updated version of "Boosting Supervision with Self-Supervision for Few-shot Learning" arXiv:1906.07079.
A. Adamatzky, P. Ayres, G. Belotti, и 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, и 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.
A. Alemi, и I. Fischer. (2018)cite arxiv:1807.04162Comment: Presented at the ICML 2018 workshop on Theoretical Foundations and Applications of Deep Generative Models.
F. Sultana, A. Sufian, и P. Dutta. (2019)cite arxiv:1905.01614Comment: 7 pages, 10 figures, 1 table, Submitted to 2nd International Conference on Communication, Devices and Computing(ICCDC 2019).