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Found 3 papers, 2 papers with code
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
The latter is limited by the engineering effort required to develop such inductive biases for every possible scenario.
Learning Continuous Rotation Canonicalization with Radial Beam Sampling
The inductive biases inherent to convolutional neural networks allow for translation equivariance through kernels acting parallely to the horizontal and vertical axes of the pixel grid.
Nematic superconductivity in magic-angle twisted bilayer graphene from atomistic modeling
The nematic state has a locally anisotropic real-valued d-wave pairing, with a nematic vector winding throughout the moir\'e pattern, and is three-fold degenerate.
Superconductivity Strongly Correlated Electrons
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