Zobrazeno 1 - 10
of 1 249
pro vyhledávání: '"BENJAMIN, DAVID"'
Autor:
Brenner, Ulrich, Görg, Benjamin David
We present efficient circuits for the addition of binary numbers. We assume that we are given arrival times for all input bits and optimize the delay of the circuits, i.e.\ the time when the last output bit is computed. This contains the classical op
Externí odkaz:
http://arxiv.org/abs/2409.06634
Autor:
Evans, Benjamin David, Trumpp, Raphael, Caccamo, Marco, Jahncke, Felix, Betz, Johannes, Jordaan, Hendrik Willem, Engelbrecht, Herman Arnold
The F1TENTH autonomous driving platform, consisting of 1:10-scale remote-controlled cars, has evolved into a well-established education and research platform. The many publications and real-world competitions span many domains, from classical path pl
Externí odkaz:
http://arxiv.org/abs/2402.18558
Map-based methods for autonomous racing estimate the vehicle's location, which is used to follow a high-level plan. While map-based optimisation methods demonstrate high-performance results, they are limited by requiring a map of the environment. In
Externí odkaz:
http://arxiv.org/abs/2401.17732
Variational Information Pursuit (V-IP) is a framework for making interpretable predictions by design by sequentially selecting a short chain of task-relevant, user-defined and interpretable queries about the data that are most informative for the tas
Externí odkaz:
http://arxiv.org/abs/2308.12562
The classical method of autonomous racing uses real-time localisation to follow a precalculated optimal trajectory. In contrast, end-to-end deep reinforcement learning (DRL) can train agents to race using only raw LiDAR scans. While classical methods
Externí odkaz:
http://arxiv.org/abs/2306.07003
Autor:
Chu, Tianzhe, Tong, Shengbang, Ding, Tianjiao, Dai, Xili, Haeffele, Benjamin David, Vidal, René, Ma, Yi
The advent of large pre-trained models has brought about a paradigm shift in both visual representation learning and natural language processing. However, clustering unlabeled images, as a fundamental and classic machine learning problem, still lacks
Externí odkaz:
http://arxiv.org/abs/2306.05272
Autor:
Yan-Ci Liu, Patrick Esser, Benjamin David Weedon, Daniella Springett, Shawn Joshi, Meng-Hsuan Tsou, Ray-Yau Wang, Helen Dawes
Publikováno v:
Italian Journal of Pediatrics, Vol 50, Iss 1, Pp 1-9 (2024)
Abstract Background Motor competence (MC) is a key component reflecting one’s ability to execute motor tasks and is an important predictor of physical fitness. For adolescents, understanding the factors affecting MC is pertinent to their developmen
Externí odkaz:
https://doaj.org/article/3810aca87c774148857ee564cca5a6b3
