Abstract: Secure computation allows a set of mutually distrusting parties to compute a joint function of their private inputs such that the parties only learn the output of the functionality and nothing else about the inputs of th

Abstract: Gating is a key feature in modern neural networks including LSTMs, GRUs and sparsely-gated deep neural networks.

Abstract:  Discrete-time linear systems are a ubiquitous modeling tool across the sciences. We study a reachability problem related to discrete-time linear systems which we call ``Affine Subspace Reachability Problem''.

Abstract:Variational quantum eigensolver (VQE) is a promising algorithm suitable for near-term quantum machines. VQE aims to approximate the lowest eigenvalue of an exponentially sized matrix in polynomial time.

Abstract: In distributed IoT paradigm, we often have cases where multiple nodes need to keep a common server updated with their status information.