Co-occurring keywords
Papers
Characterization of translation invariant MMD on Rd and connections with Wasserstein distances
JMLR 2024
INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation
AISTATS 2023
Rotation and Translation Invariant Representation Learning with Implicit Neural Representations
ICML 2023
Faster Unbalanced Optimal Transport: Translation invariant Sinkhorn and 1-D Frank-Wolfe
AISTATS 2022
Unsupervised Object Representation Learning using Translation and Rotation Group Equivariant VAE
NIPS 2022
On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location
CVPR 2020
Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias
NIPS 2019
Shepard Convolutional Neural Networks
NIPS 2015