基本信息
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个人简介
My research looks at how we can learn interpretable graph structures directly from data without relying on heuristics that simplify (or, in most cases, obfuscate) the structure-learning signal. Structure learning is, in my opinion, a hugely important and undervalued research area, as graph structure is the foundation upon which all the recent successes of graph neural networks implicitly rely.
研究兴趣
论文共 12 篇作者统计合作学者相似作者
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R. Shi,S. Ogrenci, J. M. Arnold, J. R. Berlioz, P. Hanlet,K. J. Hazelwood, M. A. Ibrahim, H. Liu, V. P. Nagaslaev,A. Narayanan , D. J. Nicklaus, J. Mitrevski, G. Pradhan, A. L. Saewert,B. A. Schupbach,K. Seiya,M. Thieme, R. M. Thurman-Keup,N. V. Tran
arXiv (Cornell University) (2023): 191-191
Chenwei Xu,Jerry Yao-Chieh Hu, Aakaash Narayanan,Mattson Thieme, Vladimir Nagaslaev, Mark Austin, Jeremy Arnold, Jose Berlioz, Pierrick Hanlet, Aisha Ibrahim, Dennis Nicklaus, Jovan Mitrevski,Jason Michael St. John,Gauri Pradhan, Andrea Saewert,Kiyomi Seiya,Brian Schupbach,Randy Thurman-Keup,Nhan Tran, Rui Shi,Seda Ogrenci, Alexis Maya-Isabelle Shuping,Kyle Hazelwood, Han Liu
CoRR (2023)
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J. R. Berlioz, M. R. Austin, J. M. Arnold,K. J. Hazelwood, P. Hanlet, M. A. Ibrahim,A. Narayanan, D. J. Nicklaus, G. Praudhan, A. L. Saewert,B. A. Schupbach,K. Seiya, R. M. Thurman-Keup,N. V. Tran, J. Jang, H. Liu, S. Memik, R. Shi,M. Thieme, D. Ulusel
Synchronous High-Frequency Distributed Readout for Edge Processing at the Fermilab Main Injector and Recycler (2022)
Mattson Thieme, Jeremy Arnold, Mark Austin, P. Hanlet,Kyle Hazelwood, Michelle Ibrahim, Han Liu, Seda Öǧrenci Memik,V. Nagaslaev, Aakaash Narayanan,D. Nicklaus, G.S. Pradhan, Andrea Saewert,Brian Schupbach,K. Seiya, Rui Shi,R. Thurman‐Keup,N. V. Tran
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (2022)
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A. Narayanan,Kyle Hazelwood, Michelle Ibrahim, Han Liu, Seda Öǧrenci Memik,V. Nagaslaev,D. Nicklaus, P. Prieto,Brian Schupbach,K. Seiya, Rui Shi,Mattson Thieme,R. Thurman‐Keup,N. V. Tran
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (2021)
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Kyle Hazelwood, M.D. Austin, Michelle Ibrahim, Liang Han, Seda Öǧrenci Memik,V. Nagaslaev,A. Narayanan,D. Nicklaus, Andrea Saewert,Brian Schupbach,K. Seiya, Rui Shi,Mattson Thieme,R. Thurman‐Keup,N. V. Tran
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (2021)
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作者统计
#Papers: 12
#Citation: 93
H-Index: 3
G-Index: 4
Sociability: 4
Diversity: 1
Activity: 6
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