3 accepted papers
We introduce a new approach to processing complex-valued data using DNNs consisting of parallel real-valued subnetworks with coupled outputs. Our proposed class of architectures, referred to as Steinmetz Neural Networks, incorporates multi-view learning to construct more interpretable representation…
We consider an instance of a radar jamming countermeasure problem, where the radar and the jammer have uncertainty about the radar environment (for instance, about the noise variance and the radar cross section variance), and they have to account for these uncertainties with statistical priors. The…
We present a new formula for computing arbitrary moments of unitarily invariant matrix distributions. The Schur-Weyl duality is used to decompose the expected value of tensor powers of the random matrices as a linear combination of projection operators onto unitary irreducible representations. The c…