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Bio
My research interests are in Machine Learning, Numerical Linear Algebra, and Coding Theory Applications. In particular, my research work has focused on the use of computational linear algebra tools and error correcting coding theory for solving problems related to machine learning, data analysis and signal processing. I am also interested in the use of machine learning for scientific data applications, particularly in neuroscience and material science (material informatics). Currently, I am working on methods for large scale multilabel classification and graph based neural networks.
Research Interests
Papers共 54 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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CoRR (2024)
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International Conference on Artificial Intelligence and Statisticspp.4294-4302, (2024)
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2023 IEEE HIGH PERFORMANCE EXTREME COMPUTING CONFERENCE, HPECpp.1-7, (2023)
ICASSPpp.1-5, (2023)
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.1-5, (2023)
CoRR (2023)
ArXiv (2022)
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