Editor: @espottesmith (all papers)
Reviewers: @jwallwork23 (all reviews), @niccolozanotti (all reviews)
Damian Rouson (0000-0002-2344-868X), Dan Bonachea (0000-0002-0724-9349), Brad Richardson (0000-0002-3205-2169), Jordan A. Welsman (0000-0002-2882-594X), Jeremiah Bailey (0000-0002-0436-9118), Ethan D. Gutmann (0000-0003-4077-3430), David Torres (0000-0003-2469-5284), Katherine Rasmussen (0000-0001-7974-1853), Baboucarr Dibba (0009-0008-0479-3948), Yunhao Zhang (0009-0009-3182-9296), Kareem Weaver (0009-0009-3846-6248), Zhe Bai (0000-0002-3092-0903), Tan Nguyen (0000-0003-3748-403X)
Rouson et al., (2025). Fiats: Functional inference and training for surrogates. Journal of Open Source Software, 10(116), 8785, https://doi.org/10.21105/joss.08785
artificial neural networks high-performance computing parallel programming deep learning
Authors of JOSS papers retain copyright.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Journal of Open Source Software is an affiliate of the Open Source Initiative.
Journal of Open Source Software is part of Open Journals, which is a NumFOCUS-sponsored project.
Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066