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Universal Invariant and Equivariant Graph Neural Networks

Nicolas Keriven, Gabriel Peyré

Neural Information Processing Systems

More precisely, we consider networks with a single hidden layer,obtained bysumming channels formed byapplying anequivariant linear operator, a pointwise non-linearity, and either an invariant or equivariant linearoutputlayer.


InfiniteTimeHorizonSafetyof BayesianNeuralNetworks

Neural Information Processing Systems

Compared totheexisting sampling-based approaches, which are inapplicable to the infinite time horizon setting, wetrain aseparate deterministic neural networkthatservesasaninfinite timehorizon safety certificate.