Zobrazeno 1 - 10
of 5 915
pro vyhledávání: '"A Baskerville"'
Autor:
Karwounopoulos, Johannes, Bieniek, Mateusz, Wu, Zhiyi, Baskerville, Adam L., Koenig, Gerhard, Cossins, Benjamin P., Wood, Geoffrey P. F.
The development of machine-learning (ML) potentials offers significant accuracy improvements compared to molecular mechanics (MM) because of the inclusion of quantum-mechanical effects in molecular interactions. However, ML simulations are several ti
Externí odkaz:
http://arxiv.org/abs/2410.16818
Autor:
Baskerville, Nicholas P
Neural network models are one of the most successful approaches to machine learning, enjoying an enormous amount of development and research over recent years and finding concrete real-world applications in almost any conceivable area of science, eng
Externí odkaz:
http://arxiv.org/abs/2306.02108
Autor:
Sherry Dahlke, Jeffrey I. Butler, Kelly Baskerville, Mary T. Fox, Alison L. Chasteen, Kathleen F. Hunter
Publikováno v:
Research Involvement and Engagement, Vol 10, Iss 1, Pp 1-9 (2024)
Abstract Background In recent years, academics have increasingly acknowledged the importance of involving health service users and community stakeholders as active partners in health research. Yet, the involvement of older adults, the largest group o
Externí odkaz:
https://doaj.org/article/dc2a71ad5c2a485e9623009713e81bb1
Autor:
Baskerville, Nicholas P, Keating, Jonathan P, Mezzadri, Francesco, Najnudel, Joseph, Granziol, Diego
This paper considers several aspects of random matrix universality in deep neural networks. Motivated by recent experimental work, we use universal properties of random matrices related to local statistics to derive practical implications for deep ne
Externí odkaz:
http://arxiv.org/abs/2205.08601
Autor:
Baskerville, Nicholas P
Determinantal points processes are a promising but relatively under-developed tool in machine learning and statistical modelling, being the canonical statistical example of distributions with repulsion. While their mathematical formulation is elegant
Externí odkaz:
http://arxiv.org/abs/2203.08061
Autor:
Kelly Baskerville, Sherry Dahlke, Kathleen F. Hunter, Mary T. Fox, Sandra J. Davidson, Alison L. Chasteen, Jeffrey I. Butler, Elaine Moody, Lori Schindel Martin
Publikováno v:
Quality Advancement in Nursing Education, Vol 10, Iss 2 (2024)
Externí odkaz:
https://doaj.org/article/f12d3aa3f9004770b9788757c10cf773
Autor:
Thomas RM Germe, Natassja G Bush, Victoria M Baskerville, Dominik Saman, Justin LP Benesch, Anthony Maxwell
Publikováno v:
eLife, Vol 12 (2024)
DNA gyrase, a ubiquitous bacterial enzyme, is a type IIA topoisomerase formed by heterotetramerisation of 2 GyrA subunits and 2 GyrB subunits, to form the active complex. DNA gyrase can loop DNA around the C-terminal domains (CTDs) of GyrA and pass o
Externí odkaz:
https://doaj.org/article/818a8c392608434c80a580bc63164796
Publikováno v:
In Infectious Diseases Now June 2024 54(4) Supplement
We investigate the local spectral statistics of the loss surface Hessians of artificial neural networks, where we discover excellent agreement with Gaussian Orthogonal Ensemble statistics across several network architectures and datasets. These resul
Externí odkaz:
http://arxiv.org/abs/2102.06740
We present a novel mathematical model that seeks to capture the key design feature of generative adversarial networks (GANs). Our model consists of two interacting spin glasses, and we conduct an extensive theoretical analysis of the complexity of th
Externí odkaz:
http://arxiv.org/abs/2101.02524