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group invariance

16 papers

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Co-occurring keywords

neural network architecture (362) kernel methods (1097) neural network (6616) sample complexity (1169) equivariant network (44) generalization bound (652) group theory (43) universal approximation (51) kernel function (40) equivariant neural network (75)

Papers

Sample-efficient Bayesian Optimisation Using Known Invariances NIPS 2024
Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks COLT 2024
The Selective $G$-Bispectrum and its Inversion: Applications to $G$-Invariant Networks NIPS 2024
Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions NIPS 2023
Densely Connected G-invariant Deep Neural Networks with Signed Permutation Representations JMLR 2023
On the Implicit Bias of Linear Equivariant Steerable Networks NIPS 2023
The Exact Sample Complexity Gain from Invariances for Kernel Regression NIPS 2023
Probabilistic Invariant Learning with Randomized Linear Classifiers NIPS 2023
A Classification of $G$-invariant Shallow Neural Networks NIPS 2022
Unsupervised Learning of Group Invariant and Equivariant Representations NIPS 2022
On the Sample Complexity of Learning under Geometric Stability NIPS 2021
Improved generalization bounds of group invariant / equivariant deep networks via quotient feature spaces UAI 2021
Probabilistic Symmetries and Invariant Neural Networks JMLR 2020
On the Universality of Invariant Networks ICML 2019
Group Invariance Principles for Causal Generative Models AISTATS 2018
Learning with Group Invariant Features: A Kernel Perspective. NIPS 2015