11 citations · 25 across the 7 of their papers we have counts for
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cs.LG2022★ 2 cited
Symmetries, flat minima, and the conserved quantities of gradient flow
Bo Zhao, Iordan Ganev, Robin Walters +2
Empirical studies of the loss landscape of deep networks have revealed that many local minima are connected through low-loss valleys. Yet, little is known about the theoretical ori…
cs.LG2022
Quiver neural networks
Iordan Ganev, Robin Walters
We develop a uniform theoretical approach towards the analysis of various neural network connectivity architectures by introducing the notion of a quiver neural network. Inspired b…
cs.LG2021★ 1 cited
Universal approximation and model compression for radial neural networks
Iordan Ganev, Twan van Laarhoven, Robin Walters
We introduce a class of fully-connected neural networks whose activation functions, rather than being pointwise, rescale feature vectors by a function depending only on their norm.…