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Dimensionless machine learning: Imposing exact units equivariance
v1v2 (latest)

Dimensionless machine learning: Imposing exact units equivariance

2 April 2022
Soledad Villar
Weichi Yao
D. Hogg
Ben Blum-Smith
Bianca Dumitrascu
ArXiv (abs)PDFHTML

Papers citing "Dimensionless machine learning: Imposing exact units equivariance"

13 / 13 papers shown
Title
Improving Controller Generalization with Dimensionless Markov Decision Processes
Improving Controller Generalization with Dimensionless Markov Decision Processes
V. Charvet
Sebastian Stein
R. Murray-Smith
83
0
0
14 Apr 2025
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups
Zakhar Shumaylov
Peter Zaika
James Rowbottom
Ferdia Sherry
Melanie Weber
Carola-Bibiane Schönlieb
121
6
0
03 Oct 2024
Learning equivariant tensor functions with applications to sparse vector
  recovery
Learning equivariant tensor functions with applications to sparse vector recovery
Wilson Gregory
Josué Tonelli-Cueto
Nicholas F. Marshall
Andrew S. Lee
Soledad Villar
89
2
0
03 Jun 2024
Is machine learning good or bad for the natural sciences?
Is machine learning good or bad for the natural sciences?
David W. Hogg
Soledad Villar
AI4CE
113
8
0
28 May 2024
SymmPI: Predictive Inference for Data with Group Symmetries
SymmPI: Predictive Inference for Data with Group Symmetries
Yan Sun
Mengxin Yu
120
2
0
26 Dec 2023
Machine Learning for the identification of phase-transitions in
  interacting agent-based systems: a Desai-Zwanzig example
Machine Learning for the identification of phase-transitions in interacting agent-based systems: a Desai-Zwanzig example
N. Evangelou
Dimitrios G. Giovanis
George A. Kevrekidis
G. Pavliotis
Ioannis G. Kevrekidis
72
0
0
29 Oct 2023
Using Buckingham's $π$ Theorem for Multi-System Learning Transfer: a
  Case-study with 3 Vehicles Sharing a Database
Using Buckingham's πππ Theorem for Multi-System Learning Transfer: a Case-study with 3 Vehicles Sharing a Database
William Therrien
Olivier Lecompte
Alexandre Girard
74
1
0
26 Oct 2023
Approximately Equivariant Graph Networks
Approximately Equivariant Graph Networks
Ningyuan Huang
Ron Levie
Soledad Villar
111
19
0
21 Aug 2023
Explainable Deep Learning for Tumor Dynamic Modeling and Overall
  Survival Prediction using Neural-ODE
Explainable Deep Learning for Tumor Dynamic Modeling and Overall Survival Prediction using Neural-ODE
Mark A. Laurie
James Lu
65
16
0
02 Aug 2023
Any-dimensional equivariant neural networks
Any-dimensional equivariant neural networks
Eitan Levin
Mateo Díaz
92
8
0
10 Jun 2023
AI for Science: An Emerging Agenda
AI for Science: An Emerging Agenda
Philipp Berens
Kyle Cranmer
Neil D. Lawrence
U. V. Luxburg
Jessica Montgomery
73
6
0
07 Mar 2023
Towards fully covariant machine learning
Towards fully covariant machine learning
Soledad Villar
D. Hogg
Weichi Yao
George A. Kevrekidis
Bernhard Schölkopf
AI4CE
121
11
0
31 Jan 2023
Machine learning and invariant theory
Machine learning and invariant theory
Ben Blum-Smith
Soledad Villar
AI4CE
114
18
0
29 Sep 2022
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