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of 11 419
pro vyhledávání: '"Friel A"'
Ultralight dark matter, such as kinetically mixed dark-photon dark matter (DPDM) or axionlike-particle dark matter (axion DM), can source an oscillating magnetic-field signal at Earth's surface. Previous work searched for this signal in a publicly av
Externí odkaz:
http://arxiv.org/abs/2408.16045
Retrieval-Augmented Generation (RAG) has become a standard architectural pattern for incorporating domain-specific knowledge into user-facing chat applications powered by Large Language Models (LLMs). RAG systems are characterized by (1) a document r
Externí odkaz:
http://arxiv.org/abs/2407.11005
Retriever Augmented Generation (RAG) systems have become pivotal in enhancing the capabilities of language models by incorporating external knowledge retrieval mechanisms. However, a significant challenge in deploying these systems in industry applic
Externí odkaz:
http://arxiv.org/abs/2406.00975
Autor:
Lu, Chaoyi, Friel, Nial
There is increasing interest to develop Bayesian inferential algorithms for point process models with intractable likelihoods. A purpose of this paper is to illustrate the utility of using simulation based strategies, including approximate Bayesian c
Externí odkaz:
http://arxiv.org/abs/2404.15133
Autor:
Piancastelli, Luiza S. C., Friel, Nial
Rankings are a type of preference elicitation that arise in experiments where assessors arrange items, for example, in decreasing order of utility. Orderings of n items labelled {1,...,n} denoted are permutations that reflect strict preferences. For
Externí odkaz:
http://arxiv.org/abs/2403.12880
Autor:
Friel, Robert, Sanyal, Atindriyo
Large language models (LLMs) have experienced notable advancements in generating coherent and contextually relevant responses. However, hallucinations - incorrect or unfounded claims - are still prevalent, prompting the creation of automated metrics
Externí odkaz:
http://arxiv.org/abs/2310.18344
The exponential random graph (ERGM) model is a popular statistical framework for studying the determinants of tie formations in social network data. To test scientific theories under the ERGM framework, statistical inferential techniques are generall
Externí odkaz:
http://arxiv.org/abs/2304.14750
In this chapter, we present a review of latent position models for networks. We review the recent literature in this area and illustrate the basic aspects and properties of this modeling framework. Through several illustrative examples we highlight h
Externí odkaz:
http://arxiv.org/abs/2304.02979
Autor:
R. Bergua, W. Wiley, A. Robertson, J. Jonkman, C. Brun, J.-P. Pineau, Q. Qian, W. Maoshi, A. Beardsell, J. Cutler, F. Pierella, C. A. Hansen, W. Shi, J. Fu, L. Hu, P. Vlachogiannis, C. Peyrard, C. S. Wright, D. Friel, Ø. W. Hanssen-Bauer, C. R. dos Santos, E. Frickel, H. Islam, A. Koop, Z. Hu, J. Yang, T. Quideau, V. Harnois, K. Shaler, S. Netzband, D. Alarcón, P. Trubat, A. Connolly, S. B. Leen, O. Conway
Publikováno v:
Wind Energy Science, Vol 9, Pp 1025-1051 (2024)
This paper provides a summary of the work done within Phase IV of the Offshore Code Comparison Collaboration, Continued with Correlation and unCertainty (OC6) project, under International Energy Agency Wind Technology Collaboration Programme Task 30.
Externí odkaz:
https://doaj.org/article/45372a77a91440cab355bbcc4a9b99d9
Autor:
Hardiman, William, Clark, Matt, Friel, Claire, Huett, Alan, Pérez-Cota, Fernando, Setchfield, Kerry, Tassieri, Manlio, Wright, Amanda J
Microrheology, the study of fluids on micron length-scales, promises to reveal insights into cellular biology, including mechanical biomarkers of disease and the interplay between biomechanics and cellular function. Here a minimally-invasive passive
Externí odkaz:
http://arxiv.org/abs/2211.14189