Analysis, Algorithms, and Applications of Neural Networks
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Organizer(s): |
Name:
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Affiliation:
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Country:
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Juncai He
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King Abdullah University of Science and Technology
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Saudi Arabia
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Xinliang Liu
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King Abdullah University of Science and Technology
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Saudi Arabia
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Jinchao Xu
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King Abdullah University of Science and Technology
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Saudi Arabia
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Introduction:
| | In the rapidly evolving landscape of neural network applications, including convolutional, recurrent, graph networks, and Transformers, the understanding of these NN-based models has become critically important in the fields of computational and applied mathematics. This special session at AIMS 2024 aims to provide a platform for researchers and practitioners to share insights, methodologies, and breakthroughs focused on the mathematical and numerical analysis, efficient algorithm developments, and explainable applications of these models and methods. The session will primarily feature contributions from junior professors and young researchers from various universities and countries, fostering a collaborative and dynamic exchange of ideas.
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