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stat.ML2023
Riemannian Residual Neural Networks
Isay Katsman, Eric Ming Chen, Sidhanth Holalkere +4
Recent methods in geometric deep learning have introduced various neural networks to operate over data that lie on Riemannian manifolds. Such networks are often necessary to learn…
nlin.AO2023
Slow passage through the Busse balloon -- predicting steps on the Eckhaus staircase
Anna Asch, Montie Avery, Anthony Cortez +1
Motivated by the impact of worsening climate conditions on vegetation patches, we study dynamic instabilities in an idealized Ginzburg-Landau model. Our main results predict time i…