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The Fundamental Principles of Reproducibility

The Fundamental Principles of Reproducibility

19 November 2020
Odd Erik Gundersen
ArXivPDFHTML

Papers citing "The Fundamental Principles of Reproducibility"

13 / 13 papers shown
Title
Benchmark Data Repositories for Better Benchmarking
Benchmark Data Repositories for Better Benchmarking
Rachel Longjohn
Markelle Kelly
Sameer Singh
Padhraic Smyth
46
0
0
31 Oct 2024
Model Input Verification of Large Scale Simulations
Model Input Verification of Large Scale Simulations
Rumyana Neykova
Derek Groen
16
0
0
09 Sep 2024
Weak baselines and reporting biases lead to overoptimism in machine
  learning for fluid-related partial differential equations
Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations
N. McGreivy
Ammar Hakim
AI4CE
29
42
0
09 Jul 2024
Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers
Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers
Harald Semmelrock
Tony Ross-Hellauer
Simone Kopeinik
Dieter Theiler
Armin Haberl
Stefan Thalmann
Dominik Kowald
65
6
0
20 Jun 2024
Formal Definition and Implementation of Reproducibility Tenets for
  Computational Workflows
Formal Definition and Implementation of Reproducibility Tenets for Computational Workflows
Nicholas J. Pritchard
A. Wicenec
24
0
0
03 Jun 2024
Position: Why We Must Rethink Empirical Research in Machine Learning
Position: Why We Must Rethink Empirical Research in Machine Learning
Moritz Herrmann
F. J. D. Lange
Katharina Eggensperger
Giuseppe Casalicchio
Marcel Wever
Matthias Feurer
David Rügamer
Eyke Hüllermeier
A. Boulesteix
Bernd Bischl
49
6
0
03 May 2024
What is Reproducibility in Artificial Intelligence and Machine Learning Research?
What is Reproducibility in Artificial Intelligence and Machine Learning Research?
Abhyuday Desai
Mohamed Abdelhamid
N. R. Padalkar
AI4CE
16
2
0
29 Apr 2024
From Model Performance to Claim: How a Change of Focus in Machine
  Learning Replicability Can Help Bridge the Responsibility Gap
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap
Tianqi Kou
38
0
0
19 Apr 2024
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation
  on Graph Neural Network Research
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research
Tobias Hille
Maximilian Stubbemann
Tom Hanika
AI4CE
30
0
0
13 Mar 2024
Examining the Effect of Implementation Factors on Deep Learning
  Reproducibility
Examining the Effect of Implementation Factors on Deep Learning Reproducibility
Kevin Coakley
Christine R. Kirkpatrick
Odd Erik Gundersen
13
2
0
11 Dec 2023
Reproducibility of Machine Learning: Terminology, Recommendations and
  Open Issues
Reproducibility of Machine Learning: Terminology, Recommendations and Open Issues
Riccardo Albertoni
Sara Colantonio
Piotr Skrzypczyñski
J. Stefanowski
21
10
0
24 Feb 2023
Leakage and the Reproducibility Crisis in ML-based Science
Leakage and the Reproducibility Crisis in ML-based Science
Sayash Kapoor
Arvind Narayanan
25
177
0
14 Jul 2022
Sources of Irreproducibility in Machine Learning: A Review
Sources of Irreproducibility in Machine Learning: A Review
Odd Erik Gundersen
Kevin Coakley
Christine R. Kirkpatrick
Yolanda Gil
SyDa
19
33
0
15 Apr 2022
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