ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2207.00611
  4. Cited By
FAIR principles for AI models with a practical application for
  accelerated high energy diffraction microscopy

FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy

1 July 2022
Nikil Ravi
Pranshu Chaturvedi
Eliu A. Huerta
Zhengchun Liu
Ryan Chard
Aristana Scourtas
K. J. Schmidt
Kyle Chard
Ben Blaiszik
Ian Foster
ArXivPDFHTML

Papers citing "FAIR principles for AI models with a practical application for accelerated high energy diffraction microscopy"

9 / 9 papers shown
Title
data2vec: A General Framework for Self-supervised Learning in Speech,
  Vision and Language
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
Alexei Baevski
Wei-Ning Hsu
Qiantong Xu
Arun Babu
Jiatao Gu
Michael Auli
SSL
VLM
ViT
89
852
0
07 Feb 2022
A FAIR and AI-ready Higgs boson decay dataset
A FAIR and AI-ready Higgs boson decay dataset
Yifan Chen
Eliu A. Huerta
Javier Mauricio Duarte
Philip C. Harris
Daniel S. Katz
...
Raghav Kansal
Sang Eon Park
Volodymyr V. Kindratenko
Zhizhen Zhao
R. Rusack
59
25
0
04 Aug 2021
Advances in Machine and Deep Learning for Modeling and Real-time
  Detection of Multi-Messenger Sources
Advances in Machine and Deep Learning for Modeling and Real-time Detection of Multi-Messenger Sources
Eliu A. Huerta
Zhizhen Zhao
73
21
0
13 May 2021
Accelerated, Scalable and Reproducible AI-driven Gravitational Wave
  Detection
Accelerated, Scalable and Reproducible AI-driven Gravitational Wave Detection
Eliu A. Huerta
Asad Khan
Xiaobo Huang
Minyang Tian
Maksim Levental
...
Daniel S. Katz
Volodymyr V. Kindratenko
D. Mu
Ben Blaiszik
Ian Foster
110
61
0
15 Dec 2020
BraggNN: Fast X-ray Bragg Peak Analysis Using Deep Learning
BraggNN: Fast X-ray Bragg Peak Analysis Using Deep Learning
Zhengchun Liu
H. Sharma
Jun-Sang Park
Peter Kenesei
Antonino Miceli
J. Almer
R. Kettimuthu
Ian Foster
26
37
0
18 Aug 2020
funcX: A Federated Function Serving Fabric for Science
funcX: A Federated Function Serving Fabric for Science
Ryan Chard
Y. Babuji
Zhuozhao Li
Tyler J. Skluzacek
A. Woodard
Ben Blaiszik
Ian Foster
Kyle Chard
100
191
0
07 May 2020
Enabling real-time multi-messenger astrophysics discoveries with deep
  learning
Enabling real-time multi-messenger astrophysics discoveries with deep learning
Eliu A. Huerta
Gabrielle Allen
I. Andreoni
J. Antelis
E. Bachelet
...
Wei Wei
J. Wells
T. Williams
Jinjun Xiong
Zhizhen Zhao
AI4CE
41
70
0
26 Nov 2019
DLHub: Model and Data Serving for Science
DLHub: Model and Data Serving for Science
Ryan Chard
Zhuozhao Li
Kyle Chard
Logan T. Ward
Y. Babuji
A. Woodard
S. Tuecke
Ben Blaiszik
Michael Franklin
Ian Foster
58
74
0
27 Nov 2018
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
398
18,334
0
27 May 2016
1