181 citations · 1.2k across the 132 of their papers we have counts for
8 papers · 1 filter
Progressive Learning for Systematic Design of Large Neural Networks
Saikat Chatterjee, Alireza M. Javid, Mostafa Sadeghi +2
We develop an algorithm for systematic design of a large artificial neural network using a progression property. We find that some non-linear functions, such as the rectifier linea…
Secure Private Information Retrieval from Colluding Databases with Eavesdroppers
Qiwen Wang, Mikael Skoglund
The problem of private information retrieval (PIR) is to retrieve one message out of messages replicated at databases, without revealing the identity of the desired message…
The Golden Quantizer: The Complex Gaussian Random Variable Case
Peter Larsson, Lars K. Rasmussen, Mikael Skoglund
The problem of quantizing a circularly-symmetric complex Gaussian random variable is considered. For this purpose, we design two non-uniform quantizers, a high-rate-, and a Lloyd-M…
Optimal Sensor Design and Zero-Delay Source Coding for Continuous-Time Vector Gauss-Markov Processes
Takashi Tanaka, Mikael Skoglund, Valeri Ugrinovskii
We consider the situation in which a continuous-time vector Gauss-Markov process is observed through a vector Gaussian channel (sensor) and estimated by the Kalman-Bucy filter. Unl…
Linear Symmetric Private Information Retrieval for MDS Coded Distributed Storage with Colluding Servers
Qiwen Wang, Mikael Skoglund
The problem of symmetric private information retrieval (SPIR) from a coded database which is distributively stored among colluding servers is studied. Specifically, the database co…
Transfer-Entropy-Regularized Markov Decision Processes
Takashi Tanaka, Henrik Sandberg, Mikael Skoglund
We consider the framework of transfer-entropy-regularized Markov Decision Process (TERMDP) in which the weighted sum of the classical state-dependent cost and the transfer entropy…