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Learning symmetries via weight-sharing with doubly stochastic tensors
Traditional group equivariant methods presuppose known groups, an assumption that can be unrealistic for real-world datasets and …
Putri A. van der Linden, Alejandro García-Castellanos, Sharvaree P. Vadgama, Thijs P. Kuipers, Erik J. Bekkers
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Learning symmetries via weight-sharing with doubly stochastic tensors
Relative Representations: Topological and Geometric Perspectives
Relative representations are an established approach to zero-shot model stitching, consisting of a non-trainable transformation of the …
Alejandro Garcı́a Castellanos, Giovanni Luca Marchetti, Danica Kragic, Martina Scolamiero
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Relative Representations: Topological and Geometric Perspectives