Zobrazeno 1 - 10
of 9 510
pro vyhledávání: '"Angelos, P"'
Autor:
Bi, Yuan, Huang, Lucie, Clarenbach, Ricarda, Ghotbi, Reza, Karlas, Angelos, Navab, Nassir, Jiang, Zhongliang
Ultrasound (US) imaging is widely used in routine clinical practice due to its advantages of being radiation-free, cost-effective, and portable. However, the low reproducibility and quality of US images, combined with the scarcity of expert-level ann
Externí odkaz:
http://arxiv.org/abs/2411.04004
Defining a distance in a mixed setting requires the quantification of observed differences of variables of different types and of variables that are measured on different scales. There exist several proposals for mixed variable distances, however, su
Externí odkaz:
http://arxiv.org/abs/2411.00429
Modern machine learning systems represent their computations as dataflow graphs. The increasingly complex neural network architectures crave for more powerful yet efficient programming abstractions. In this paper we propose an efficient technique for
Externí odkaz:
http://arxiv.org/abs/2410.20225
Recent advancements in transformer-based language models have sparked research into their logical reasoning capabilities. Most of the benchmarks used to evaluate these models are simple: generated from short (fragments of) first-order logic sentences
Externí odkaz:
http://arxiv.org/abs/2410.09613
Autor:
Ragkousis, Angelos, Parbhoo, Sonali
As AI models grow larger, the demand for accountability and interpretability has become increasingly critical for understanding their decision-making processes. Concept Bottleneck Models (CBMs) have gained attention for enhancing interpretability by
Externí odkaz:
http://arxiv.org/abs/2410.06352
We introduce SmallTalk LM, an innovative method for training a mixture of language models in an almost asynchronous manner. Each model of the mixture specializes in distinct parts of the data distribution, without the need of high-bandwidth communica
Externí odkaz:
http://arxiv.org/abs/2410.03529
Autor:
Ravindra, Pavan, Advincula, Xavier R., Shi, Benjamin X., Coles, Samuel W., Michaelides, Angelos, Kapil, Venkat
Recent work has suggested that nanoconfined water may exhibit superionic proton transport at lower temperatures and pressures than bulk water. Using first-principles-level simulations, we study the role of nuclear quantum effects in inducing this sup
Externí odkaz:
http://arxiv.org/abs/2410.03272
The Clifford hierarchy, introduced by Gottesman and Chuang in 1999, is an increasing sequence of sets of quantum gates crucial to the gate teleportation model for fault-tolerant quantum computation. Gates in the hierarchy can be deterministically imp
Externí odkaz:
http://arxiv.org/abs/2410.01887
Machine learning potentials have revolutionised the field of atomistic simulations in recent years and are becoming a mainstay in the toolbox of computational scientists. This paper aims to provide an overview and introduction into machine learning p
Externí odkaz:
http://arxiv.org/abs/2410.00626
The entropic risk measure is widely used in high-stakes decision making to account for tail risks associated with an uncertain loss. With limited data, the empirical entropic risk estimator, i.e. replacing the expectation in the entropic risk measure
Externí odkaz:
http://arxiv.org/abs/2409.19926