Zobrazeno 1 - 10
of 4 696
pro vyhledávání: '"Desmond, J"'
Non-equilibrium assembly, driven by fluxes controllable by continuous external energy inputs, enables dynamic and reconfigurable structures. Such controlled 3D assembly is desired for the design of adaptive materials that exploit structure-function r
Externí odkaz:
http://arxiv.org/abs/2412.10928
Regulation to a well-defined target state is a fundamental requirement for achieving reliable functionality in living systems and maintaining specific non-equilibrium states. The control of certain properties and functionalities of systems on the mic
Externí odkaz:
http://arxiv.org/abs/2412.10914
We introduce the concept of deceptive diffusion -- training a generative AI model to produce adversarial images. Whereas a traditional adversarial attack algorithm aims to perturb an existing image to induce a misclassificaton, the deceptive diffusio
Externí odkaz:
http://arxiv.org/abs/2406.19807
Autor:
Sutton, Oliver J., Zhou, Qinghua, Wang, Wei, Higham, Desmond J., Gorban, Alexander N., Bastounis, Alexander, Tyukin, Ivan Y.
We reveal the theoretical foundations of techniques for editing large language models, and present new methods which can do so without requiring retraining. Our theoretical insights show that a single metric (a measure of the intrinsic dimension of t
Externí odkaz:
http://arxiv.org/abs/2406.12670
We discuss the design of an invariant measure-preserving transformed dynamics for the numerical treatment of Langevin dynamics based on rescaling of time, with the goal of sampling from an invariant measure. Given an appropriate monitor function whic
Externí odkaz:
http://arxiv.org/abs/2403.11993
Publikováno v:
J. Phys. Complexity 5, 015022 (2024)
Higher-order networks encode the many-body interactions existing in complex systems, such as the brain, protein complexes, and social interactions. Simplicial complexes are higher-order networks that allow a comprehensive investigation of the interpl
Externí odkaz:
http://arxiv.org/abs/2402.07631
Autor:
Damineli, Augusto, Richardson, Noel D., Navarete, Felipe, Gull, Theodore. R., Fernández-Lajús, Eduardo, Moffat, Anthony F. J., Hillier, Desmond J., Weigelt, Gerd, Corcoran, Michael F.
Changes in the flux and spectrum of Eta Carinae since 1900 have been attributed to the evolution of the central binary by some. Others suggest evolution in the occulting ejecta. The brightness jump in the 1940s, which coincided with the appearance of
Externí odkaz:
http://arxiv.org/abs/2312.17421
Generative artificial intelligence (AI) refers to algorithms that create synthetic but realistic output. Diffusion models currently offer state of the art performance in generative AI for images. They also form a key component in more general tools,
Externí odkaz:
http://arxiv.org/abs/2312.14977
We consider a random geometric hypergraph model based on an underlying bipartite graph. Nodes and hyperedges are sampled uniformly in a domain, and a node is assigned to those hyperedges that lie with a certain radius. From a modelling perspective, w
Externí odkaz:
http://arxiv.org/abs/2309.09305
Autor:
Bastounis, Alexander, Gorban, Alexander N., Hansen, Anders C., Higham, Desmond J., Prokhorov, Danil, Sutton, Oliver, Tyukin, Ivan Y., Zhou, Qinghua
In this work, we assess the theoretical limitations of determining guaranteed stability and accuracy of neural networks in classification tasks. We consider classical distribution-agnostic framework and algorithms minimising empirical risks and poten
Externí odkaz:
http://arxiv.org/abs/2309.07072