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Invariant-equivariant representation learning for multi-class data
v1v2 (latest)

Invariant-equivariant representation learning for multi-class data

International Conference on Machine Learning (ICML), 2019
8 February 2019
Ilya Feige
ArXiv (abs)PDFHTML

Papers citing "Invariant-equivariant representation learning for multi-class data"

7 / 7 papers shown
RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization
RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization
Alonso Urbano
David W. Romero
Max Zimmer
Sebastian Pokutta
314
0
0
19 May 2025
Self-Supervised Detection of Perfect and Partial Input-Dependent
  Symmetries
Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries
Alonso Urbano
David W. Romero
355
5
0
19 Dec 2023
Holographic-(V)AE: an end-to-end SO(3)-Equivariant (Variational)
  Autoencoder in Fourier Space
Holographic-(V)AE: an end-to-end SO(3)-Equivariant (Variational) Autoencoder in Fourier SpacebioRxiv (bioRxiv), 2022
Gian Marco Visani
Michael N. Pun
Arman Angaji
Armita Nourmohammad
BDL
265
4
0
30 Sep 2022
Improving VAE-based Representation Learning
Improving VAE-based Representation Learning
Mingtian Zhang
Tim Z. Xiao
Brooks Paige
David Barber
SSLDRL
265
12
0
28 May 2022
Unsupervised Learning of Group Invariant and Equivariant Representations
Unsupervised Learning of Group Invariant and Equivariant RepresentationsNeural Information Processing Systems (NeurIPS), 2022
R. Winter
Marco Bertolini
Tuan Le
Frank Noé
Djork-Arné Clevert
302
50
0
15 Feb 2022
Equivariant Deep Dynamical Model for Motion Prediction
Equivariant Deep Dynamical Model for Motion PredictionInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Bahar Azari
Deniz Erdoğmuş
253
2
0
02 Nov 2021
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey
M. Rath
Alexandru Paul Condurache
ViTAI4CE
340
13
0
30 Jun 2020
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