Birs- 19w5061: Computational Harmonic Analysis and Data Science
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Title: Optimal transport
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Title: Multi-Representation Manifold Learning on Fibre Bundles
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Title: On the Continuum Between Models, Data-Driven Discovery and Machine Learning: Mapping the Continuum of Molecular Conformations Using Cryo-Electron Microscopy
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Title: Group synchronization on complex networks: nonconvex optimization and Kuramoto model
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Title: Sharpness, Restart, and Compressed Sensing Performance
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Title: Ulam’s game and phase retrieval with random binary questions
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Title: Sparse Multiscale with Phase to model Deep Neural Networks
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Title: Dimension independent bounds for approximation of smooth functions on metric spaces
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Title: Robust and efficient identification of neural networks
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Title: Fundamental limits of deep neural network learning
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Title: On the convex geometry of blind deconvolution
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Title: Convergence of gradient flows for learning deep linear networks
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Title: Graph neural networks for combinatorial optimization problems on graphs
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Title: What is the role of curvature in complexity of optimization on manifolds?
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Title: Geometry-based Data Exploration
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Title: Estimating Fourier-sparse signals without a frequency gap
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Title: Learning Interaction laws in particle- and agent-based systems
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