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Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models.

P. Harris, M. Kagan, J. Krupa, B. Maier, and N. Woodward. CoRR, (2024)

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Melvin Harris

Kathleen Harris

Nigel Harris

Horton Harris

Martin Harris

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Fast inference of Boosted Decision Trees in FPGAs for particle physics.S. Summers, G. Guglielmo, J. Duarte, P. Harris, D. Hoang, S. Jindariani, E. Kreinar, V. Loncar, J. Ngadiuba, M. Pierini and 3 other author(s). CoRR, (2020)SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning.H. Tsoi, V. Loncar, S. Dasu, and P. Harris. CoRR, (2024)FAIR AI Models in High Energy Physics.J. Duarte, H. Li, A. Roy, R. Zhu, E. Huerta, D. Diaz, P. Harris, R. Kansal, D. Katz, I. Kavoori and 7 other author(s). CoRR, (2022)Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml.E. Khoda, D. Rankin, R. de Lima, P. Harris, S. Hauck, S. Hsu, M. Kagan, V. Loncar, C. Paikara, R. Rao and 3 other author(s). CoRR, (2022)Response to NITRD, NCO, NSF Request for Information on Üpdate to the 2016 National Artificial Intelligence Research and Development Strategic Plan".J. Amundson, J. Annis, C. Avestruz, D. Bowring, J. Caldeira, G. Cerati, C. Chang, S. Dodelson, D. Elvira, A. Farahi and 20 other author(s). CoRR, (2019)Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data Processing.T. Cai, K. Herner, T. Yang, M. Wang, M. Flechas, P. Harris, B. Holzman, K. Pedro, and N. Tran. CoRR, (2023)GPU coprocessors as a service for deep learning inference in high energy physics.J. Krupa, K. Lin, M. Flechas, J. Dinsmore, J. Duarte, P. Harris, S. Hauck, B. Holzman, S. Hsu, T. Klijnsma and 5 other author(s). CoRR, (2020)GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments.M. Wang, T. Yang, M. Flechas, P. Harris, B. Hawks, B. Holzman, K. Knoepfel, J. Krupa, K. Pedro, and N. Tran. Frontiers Big Data, (2020)Compressing deep neural networks on FPGAs to binary and ternary precision with hls4ml.J. Ngadiuba, V. Loncar, M. Pierini, S. Summers, G. Guglielmo, J. Duarte, P. Harris, D. Rankin, S. Jindariani, M. Liu and 6 other author(s). Mach. Learn. Sci. Technol., 2 (1): 15001 (2021)FPGAs-as-a-Service Toolkit (FaaST).D. Rankin, J. Krupa, P. Harris, M. Flechas, B. Holzman, T. Klijnsma, K. Pedro, N. Tran, S. Hauck, S. Hsu and 6 other author(s). H2RC@SC, page 38-47. IEEE, (2020)

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Disambiguation of "Harris, Philip C."

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Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models.

Please choose a person to relate this publication to

Melvin Harris

Kathleen Harris

Nigel Harris

Horton Harris

Martin Harris

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Harris, Philip C."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models.

Please choose a person to relate this publication to

Melvin Harris

Kathleen Harris

Nigel Harris

Horton Harris

Martin Harris

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models.