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Explore topological data analysis with the Applied Algebraic Topology Network. Learn to recover input data from topological descriptors and study neuron distributions in under an hour.
Explore the application of curvature variation in Delaunay triangulations of Riemannian manifolds with this less than 1-hour material from Applied Algebraic Topology Network.
Explore the complexities of assigning semantics to persistent homology classes with Chad Giusti in this less than 1-hour session offered by the Applied Algebraic Topology Network.
Explore the role of persistent homology in applied topology with Ulrich Bauer. Understand Morse's theory of functional topology and its impact on minimal surfaces. Offered by Applied Algebraic Topology Network.
Explore aspects of building nullhomotopies of maps to simply connected spaces with controlled Lipschitz constant in less than an hour with the Applied Algebraic Topology Network.
Explore persistent entropy's properties and applications in machine learning, pattern recognition, and more with this short program from the Applied Algebraic Topology Network.
Explore the geodesic complexity of Riemannian manifolds with the Applied Algebraic Topology Network. Learn about efficient robot motion planning and derive bounds from cut loci geometry.
Explore computational aspects of persistent homology for Vietoris-Rips filtrations with Ulrich Bauer in this less than 1-hour session offered by the Applied Algebraic Topology Network.
Explore the application of TDA and machine learning in classifying multicellular structures related to cancer and embryonic development with the Applied Algebraic Topology Network.
Explore computational topology and learn about parameterized Vietoris-Rips filtrations via covers with the Applied Algebraic Topology Network. Expect a 1-2 hour workload.
Join the Applied Algebraic Topology Network for a research discussion on Yoon, Ghrist, and Giusti's paper, exploring data-induced relations between persistence barcodes.
Learn to detect COVID-19 using CT-scan images with topological data analysis methods in less than an hour with Applied Algebraic Topology Network.
Explore density-sensitive and robust Vietoris-Rips filtrations with Applied Algebraic Topology Network. Learn to distinguish datasets and handle outliers in under an hour.
Explore topological data analysis in machine learning with a focus on graph representation learning in this less than 1-hour session by the Applied Algebraic Topology Network. Prior ML knowledge helpful but not required.
Explore sequential motion planning with group actions in this less than 1-hour talk by the Applied Algebraic Topology Network. Dive into effectual and effective TC, orbital topological complexity, and more.
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