基本信息
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Bio
His research lies at the intersection of machine learning and optimization, and targets applications in computer vision and signal processing. He works at the boundary between theory and practice, leveraging mathematical foundations, complex models, and efficient hardware to build practical, high-performance systems. He design optimization methods for a wide range of platforms ranging from powerful cluster/cloud computing environments to resource limited integrated circuits and FPGAs. Before joining the faculty at Maryland, Tom completed his PhD in Mathematics at UCLA, and was a research scientist at Rice University and Stanford University. Tom have been the recipient of several awards, including SIAM’s DiPrima Prize, a DARPA Young Faculty Award, a JP Morgan Faculty Award, an Amazon Research Award, and a Sloan Fellowship.
Research Interests
Papers共 266 篇Author StatisticsCo-AuthorSimilar Experts
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Colin White,Samuel Dooley,Manley Roberts,Arka Pal, Ben Feuer, Siddhartha Jain,Ravid Shwartz-Ziv,Neel Jain,Khalid Saifullah, Siddartha Naidu,Chinmay Hegde,Yann LeCun,
arxiv(2024)
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CoRR (2024)
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CoRR (2024)
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arxiv(2024)
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CoRR (2024)
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CoRR (2024)
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CoRR (2024)
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Sean McLeish,Arpit Bansal, Alex Stein,Neel Jain,John Kirchenbauer,Brian R. Bartoldson,Bhavya Kailkhura,Abhinav Bhatele,Jonas Geiping,Avi Schwarzschild,Tom Goldstein
CoRR (2024)
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Abhimanyu Hans,Yuxin Wen,Neel Jain,John Kirchenbauer,Hamid Kazemi,Prajwal Singhania, Siddharth Singh,Gowthami Somepalli,Jonas Geiping,Abhinav Bhatele,Tom Goldstein
arxiv(2024)
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