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https://www.math.cuhk.edu.hk/course/mmat5391
... foundations of and optimization techniques used in machine learning. Both theoretical and numerical approaches for tackling mathematical problems arising from machine learning will be introduced. Learning will be enhanced through software ...
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https://www.math.cuhk.edu.hk/people/research-graduate-students
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Research Interests: Machine and deep learning, medical images and videos, motion separation, reconstruction of MRI ...
Research Interests: Deep learning, machine learning, uncertainty quantification
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https://www.math.cuhk.edu.hk/seminars/machine-learning-and-computational-mathematics-0
... University Abstract: The heart of machine learning is the approximation of functions using finite pieces of data. This ... Thus it is not surprising that the success of machine learning in dealing with functions in very high dimensions has opened up some ...
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https://www.math.cuhk.edu.hk/seminars/discretization-invariant-operator-learning-algorithms-and-theory
... University of Maryland Abstract: Learning operators between infinitely dimensional spaces is an important learning task arising in wide applications in machine learning, data science, ...
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https://www.math.cuhk.edu.hk/seminars/mathematical-theory-deep-learning
... University of Hong Kong Abstract: Deep learning has been widely applied and brought breakthroughs in speech ... and computational issues have been well studied in machine learning. But there lacks a theoretical foundation for understanding the ...
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https://www.math.cuhk.edu.hk/seminars/learning-operators-identifying-weak-solutions-navier-stokes-equations
... Abstract: We employ a combination of deep learning methods and compactness argument to derive learning operators for weak solutions of Navier-Stokes equations for any large ...
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https://www.math.cuhk.edu.hk/course/2223/mmat5391
Course Name: Mathematical Theories of Machine Learning Teacher: Dr. Hiu Ning CHAN Course ...
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https://www.math.cuhk.edu.hk/course/2021/mmat5391
Course Name: Mathematical Theories of Machine Learning Teacher: Dr. Jeff Chak Fu WONG Course ...
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https://www.math.cuhk.edu.hk/course/2122/mmat5391
Course Name: Mathematical Theories of Machine Learning Teacher: Dr. Hiu Ning CHAN Course ...
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https://www.math.cuhk.edu.hk/seminars/structure-conforming-operator-learning-based-direct-sampling-methods-geometric-inverse
... this principle, we propose a structure-conforming operator learning method based on direct sampling methods for solving some geometric ... the proposed architecture outperforms many existing operator learning methods in the literature.
Poster: ...