In this tutorial paper about mathematical aspects of neural networks, we will focus on two directions: on the one hand, we will motivate standard mathematical questions and well st...
Abstract. Finite-state machines are the most pervasive models of computation, not only in theoretical computer science, but also in all of its applications to real-life problems, a...
I provide several lessons learned from running a number of conference program committees over the past decade, as well as some additional thoughts on conference organization and t...
This paper investigates the application of neural network techniques to the creation of a program that can play the game of Go with some degree of success. The combination of soft...
Reservoir Computing is a new paradigm for using Recurrent Neural Networks which shows promising results. However, as the recurrent part is created randomly, it typically needs to b...
Xavier Dutoit, Benjamin Schrauwen, Jan M. Van Camp...