: -RetinotopicNET is an efficient simulator for neural networks with retinotopic-like receptive fields. The system has two main characteristics: it is event-driven and it takes adv...
Abstract. Dechter et al. [5] proposed solving the Temporal Constraint Satisfaction Problem (TCSP) by modeling it as a metaCSP, which is a finite CSP with a unique global constraint...
Abstract. This paper studies a risk minimization approach to estimate a transformation model from noisy observations. It is argued that transformation models are a natural candidat...
Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. ...
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
An algorithm for technology mapping of combinational and sequential logic networks is proposed and applied to mapping into K-input lookup-tables (K-LUTs). The new algorithm avoids...
Alan Mishchenko, Sungmin Cho, Satrajit Chatterjee,...