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Daniel Diaz
ORCID
Publication Activity (10 Years)
Years Active: 2023-2024
Publications (10 Years): 3
Top Topics
High Energy Physics
Hardware Implementation
Data Types
Machine Learning
Top Venues
Mach. Learn. Sci. Technol.
CoRR
VTS
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Publications
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Tommaso Baldi
,
Javier Campos
,
Benjamin Hawks
,
Jennifer Ngadiuba
,
Nhan Tran
,
Daniel Diaz
,
Javier M. Duarte
,
Ryan Kastner
,
Andres Meza
,
Melissa Quinnan
,
Olivia Weng
,
Caleb Geniesse
,
Amir Gholami
,
Michael W. Mahoney
,
Vladimir Loncar
,
Philip C. Harris
,
Joshua Agar
,
Shuyu Qin
Reliable edge machine learning hardware for scientific applications.
CoRR
(2024)
Tommaso Baldi
,
Javier Campos
,
Benjamin Hawks
,
Jennifer Ngadiuba
,
Nhan Tran
,
Daniel Diaz
,
Javier M. Duarte
,
Ryan Kastner
,
Andres Meza
,
Melissa Quinnan
,
Olivia Weng
,
Caleb Geniesse
,
Amir Gholami
,
Michael W. Mahoney
,
Vladimir Loncar
,
Philip C. Harris
,
Joshua Agar
,
Shuyu Qin
Reliable edge machine learning hardware for scientific applications.
VTS
(2024)
Javier M. Duarte
,
Haoyang Li
,
Avik Roy
,
Ruike Zhu
,
E. A. Huerta
,
Daniel Diaz
,
Philip C. Harris
,
Raghav Kansal
,
Daniel S. Katz
,
Ishaan H. Kavoori
,
Volodymyr V. Kindratenko
,
Farouk Mokhtar
,
Mark S. Neubauer
,
Sang Eon Park
,
Melissa Quinnan
,
Roger Rusack
,
Zhizhen Zhao
FAIR AI models in high energy physics.
Mach. Learn. Sci. Technol.
4 (4) (2023)