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个人简介
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.
研究兴趣
论文共 254 篇作者统计合作学者相似作者
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CoRR (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
arxiv(2024)
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arxiv(2024)
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Xiyao Wang,Jiuhai Chen, Zhaoyang Wang,Yuhang Zhou,Yiyang Zhou,Huaxiu Yao,Tianyi Zhou,Tom Goldstein, Parminder Bhatia,Furong Huang, Cao Xiao
arxiv(2024)
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CoRR (2024)
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