Upcoming Seminars
November 2020
November 2, 2020 - 2:30pm | |||
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Manifold coordinates with physical meaning via Riemannian geometryNovember 2, 2020 - 2:30pm One of the aims of dimension reduction is to find intrinsic coordinates that describe the data manifold. Manifold Learning algorithm developed in... |
Speaker: Marina Meila, University of Washington | |
November 9, 2020 - 2:30pm | |||
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On the consistency of spectral clustering in the continuum limitNovember 9, 2020 - 2:30pm Abstract: Spectral clustering is a popular unsupervised learning technique for finding meaningful structure in large datasets. A weighted graph... |
Speaker: Bamdad Hosseini , Caltech | |
November 16, 2020 - 2:30pm | |||
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A tractable latent variable model for nonlinear dimensionality reductionNovember 16, 2020 - 2:30pm Abstract: We propose a latent variable model to discover faithful low-dimensional representations of high-dimensional data. The model computes a... |
Speaker: Lawrence Saul, UCSD | |
November 23, 2020 - 2:30pm | |||
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A Mathematical Approach to Study Literacy in The Ancient Kingdoms of Israel and JudahNovember 23, 2020 - 2:30pm Abstract: Understanding literacy rates in the kingdoms of Israel and Judah of the First Temple Period has wide implications on... |
Speaker: Barak Sober, Duke | |
November 30, 2020 - 2:30pm | |||
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Generalized Energy-Based ModelsNovember 30, 2020 - 2:30pm Abstract: I will introduce Generalized Energy Based Models (GEBM) for generative modelling. These models combine two trained components: a base... |
Speaker: Arthur Gretton, Gatsby Computational Neuroscience Unit | |