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Wavelet Networks: Scale-Translation Equivariant Learning From Raw
  Time-Series
v1v2 (latest)

Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series

9 June 2020
David W. Romero
Erik J. Bekkers
Jakub M. Tomczak
Mark Hoogendoorn
ArXiv (abs)PDFHTMLGithub (82★)

Papers citing "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series"

2 / 2 papers shown
Title
Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep Learning
Shifting the Paradigm: A Diffeomorphism Between Time Series Data Manifolds for Achieving Shift-Invariancy in Deep LearningInternational Conference on Learning Representations (ICLR), 2025
B. U. Demirel
Christian Holz
OODAI4TS
190
3
0
27 Feb 2025
Clifford-Steerable Convolutional Neural Networks
Clifford-Steerable Convolutional Neural Networks
Maksim Zhdanov
David Ruhe
Maurice Weiler
Ana Lucic
Johannes Brandstetter
Patrick Forré
380
23
0
22 Feb 2024
1