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Daniel Diaz 0003
Person information
- affiliation: University of California San Diego, CA, USA
Other persons with the same name
- Daniel Diaz — disambiguation page
- Daniel Diaz 0001
— University of Paris 1, France
- Daniel Diaz 0002
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2020 – today
- 2024
- [c1]Tommaso Baldi, Javier Campos, Benjamin Hawks
Reliable edge machine learning hardware for scientific applications. VTS 2024: 1-5 - [i7]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 abs/2406.19522 (2024) - 2023
- [j1]Javier M. Duarte
FAIR AI models in high energy physics. Mach. Learn. Sci. Technol. 4(4): 45062 (2023) - 2022
- [i6]Eliu A. Huerta, Ben Blaiszik, L. Catherine Brinson, Kristofer E. Bouchard, Daniel Diaz, Caterina Doglioni, Javier M. Duarte, Murali Emani, Ian T. Foster, Geoffrey C. Fox, Philip C. Harris, Lukas Heinrich, Shantenu Jha
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective. CoRR abs/2210.08973 (2022) - [i5]Javier M. Duarte, Haoyang Li, Avik Roy, Ruike Zhu, Eliu 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. CoRR abs/2212.05081 (2022) - 2021
- [i4]Yifan Chen, Eliu A. Huerta, Javier M. Duarte
A FAIR and AI-ready Higgs Boson Decay Dataset. CoRR abs/2108.02214 (2021) - [i3]Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte
Applications and Techniques for Fast Machine Learning in Science. CoRR abs/2110.13041 (2021) - [i2]Farouk Mokhtar, Raghav Kansal, Daniel Diaz
Explaining machine-learned particle-flow reconstruction. CoRR abs/2111.12840 (2021) - [i1]Steven Tsan, Raghav Kansal, Anthony Aportela, Daniel Diaz
Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance. CoRR abs/2111.12849 (2021)
Coauthor Index
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last updated on 2024-12-02 22:35 CET by the dblp team
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