Birs- 21w5239: Geometry & Learning from Data (Online)
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Title: Geometry and topology of data
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Title: Groups and symmetries in Gaussian graphical models
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Title: Aligning Shape Data from Brain Imaging: applications to fMRI time series, diffusion tractography
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Title: Environmental object mapping using geometric algebra and machine learning
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Title: Evaluating attribution with Graph Neural Networks
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Title: On the invariance of the natural gradient for learning in deep neural networks
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Title: The ultrametric Gromov-Wasserstein distance
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Title: Tree Topologies along a Tropical Line Segment
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Title: Information Geometry: A Tutorial
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Title: Panel: AI & Public Institutions, with Dr. Eduardo Ulises Moya, Dra. Paola Villareal, and Dra. Yalbi Itzel Balderas Martinez.
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Title: Efficient learning on curved surfaces via diffusion
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Title: Curvature effects in Geometric statistics : empirical Frechet mean and parallel transport accuracy.
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Title: Tensor decomposition based network embedding algorithms for prediction tasks on dynamic networks.
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Title: Geomstats: a Python Package for Riemannian Geometry in Statistics and Machine Learning
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Title: A Blob Method for Diffusion and Applications to Sampling and Two Layer Neural Networks
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Title: Panel: Professional Development, with Prof. Tina Eliassi-Rad and Prof. Jesús de Loera
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Title: Learning with Optimal Transport
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Title: On Geometry and Learning
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Title: Learning phylogenetic networks using invariants
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Title: A topological perspective on weather regimes
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