Local Group Invariant Representations via Orbit Embeddings

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Local Group Invariant Representations via Orbit Embeddings

6 December 2016

Bernhard Schölkopf

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Papers citing "Local Group Invariant Representations via Orbit Embeddings"

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Title
Global optimality under amenable symmetry constraints Peter Orbanz 45 0 0 12 Feb 2024
The good, the bad and the ugly sides of data augmentation: An implicit spectral regularization perspective Chi-Heng Lin Chiraag Kaushik Eva L. Dyer Vidya Muthukumar 100 31 0 10 Oct 2022
Regularising for invariance to data augmentation improves supervised learning Aleksander Botev Matthias Bauer Soham De 84 14 0 07 Mar 2022
Learning Invariant Weights in Neural Networks Tycho F. A. van der Ouderaa Mark van der Wilk 104 24 0 25 Feb 2022
VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds Monami Banerjee Rudrasis Chakraborty Jose J. Bouza B. Vemuri 52 11 0 05 Jun 2021
Provably Strict Generalisation Benefit for Invariance in Kernel Methods Bryn Elesedy 88 27 0 04 Jun 2021
Learning Invariances in Neural Networks Gregory W. Benton Marc Finzi Pavel Izmailov A. Wilson 94 70 0 22 Oct 2020
On the Benefits of Invariance in Neural Networks Clare Lyle Mark van der Wilk Marta Z. Kwiatkowska Y. Gal Benjamin Bloem-Reddy OOD BDL 84 96 0 01 May 2020
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space Yingyi Ma Vignesh Ganapathiraman Yaoliang Yu Xinhua Zhang 28 1 0 25 Apr 2020
Bayesian Image Classification with Deep Convolutional Gaussian Processes Vincent Dutordoir Mark van der Wilk A. Artemev J. Hensman UQCV BDL 161 32 0 15 Feb 2019
Learning Invariances using the Marginal Likelihood Mark van der Wilk Matthias Bauer S. T. John J. Hensman 97 86 0 16 Aug 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor Zhen Lin Shubhendu Trivedi 93 272 0 24 Jun 2018
A Kernel Theory of Modern Data Augmentation Tri Dao Albert Gu Alexander J. Ratner Virginia Smith Christopher De Sa Christopher Ré 120 193 0 16 Mar 2018
Spherical CNNs Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 188 908 0 30 Jan 2018
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations Abhishek Kumar P. Sattigeri Avinash Balakrishnan BDL DRL 120 523 0 02 Nov 2017
Max-Margin Invariant Features from Transformed Unlabeled Data Dipan K. Pal Ashwin A. Kannan Gautam Arakalgud Marios Savvides 54 8 0 24 Oct 2017
Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations A. Bietti Julien Mairal 65 8 0 09 Jun 2017