Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Abstract. In this paper, we propose a novel and fast method to localize and track needles during image-guided interventions. Our proposed method is comprised of framework of needle...
Loosing motor activity due to impaired or damaged nerves or muscles affects millions of people world-wide. The resulting lack of mobility and/or impaired communication bears enorm...
Mario I. Romero-Ortega, Ali Raza Butt, Samir M. Iq...
Fuzz testing is an effective technique for finding security vulnerabilities in software. Traditionally, fuzz testing tools apply random mutations to well-formed inputs of a progr...
Patrice Godefroid, Michael Y. Levin, David A. Moln...
In this paper we examine a latency insensitive network composed of very fast and simple circuits that connects SoC cores that are also latency insensitive, de-synchronized, or asy...
Daniel Gebhardt, JunBok You, W. Scott Lee, Kenneth...