Birs- 24w5288: Computational Harmonic Analysis in Data Science and Machine Learning
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Title: Learning Low-rank Functions With Neural Networks
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Title: Sparse recovery for linear combinations of heat kernels on graphs
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Title: Fast expansion into harmonics on the unit disk and ball
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Title: Semantic Information and Matching Pursuit Algorithms for Explainable AI
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Title: Fast and robust alignment of images in sliced Wasserstein distance
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Title: Transformers and Associative Memories
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Title: Bilipschitz invariants
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Title: Acceleration by Random Stepsizes
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Title: Learning Interaction laws in particle- and agent-based systems
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Title: Learning Low-rank Functions With Neural Networks
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Title: Beyond unconstrained features: Neural collapse for shallow neural networks with general data
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Title: Fair Data Representation for Machine Learning at the Pareto Frontier
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Title: Fast expansion into harmonics on the unit disk and ball
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Title: Compressing neural networks for faster inference: sparsity, quantization, and low-rank approximation
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Title: Semantic Information and Matching Pursuit Algorithms for Explainable AI
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Title: Manifold denosing
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Title: Robust, randomized preconditioning for kernel ridge regression
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Title: Transformers and Associative Memories
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Title: Bilipschitz invariants
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Title: Depth Separation of Neural Networks in Learning
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