Complex systems approaches to 21st century challenges: Introduction to the Special Issue
Bednar, J
del Rio-Chanona, M
Farmer, J
Kaszowska-Mojsa, J
Lafond, F
Mealy, P
Pangallo, M
Pichler, A
Journal of Economic Behavior & Organization
107049
(May 2025)
Oxford Mathematician Mike Giles is a computational mathematician who has worked at the interface with both engineering and computer science. His early research was on computational fluid dynamics, developing algorithms and software which is today used by Rolls-Royce in the design of its aircraft engines. More recently, he moved into computational finance and more generally the area of Uncertainty Quantification, developing advanced Monte Carlo simulation methods
Optimal control of immune checkpoint inhibitor therapy in a heart-tumour model
van der Vegt, S
Baker, R
Waters, S
Bulletin of Mathematical Biology
volume 87
issue 9
(11 Aug 2025)
Thu, 05 Jun 2025
16:00
16:00
Lecture Room 4
Refined conjectures of ‘Birch—Swinnerton-Dyer type’ and the theory of Euler systems
Dominik Bullach
(University College London)
Abstract
In the 1980s, Mazur and Tate proposed refinements of the Birch–Swinnerton-Dyer conjecture that also capture congruences between twists of Hasse–Weil L-series by Dirichlet characters. In this talk, I will report on new results towards these refined conjectures, obtained in joint work with Matthew Honnor. I will also outline how the results fit into a more general approach to refined conjectures on special values of L-series via an enhanced theory of Euler systems. This final part will touch upon joint work with David Burns.
An entanglement monotone from the contextual fraction
Chan, T
Constantin, A
New Journal of Physics
volume 27
issue 5
(13 May 2025)
Convergence and near-optimal sampling for multivariate function approximations in irregular domains via Vandermonde with Arnoldi
Zhu, W
Nakatsukasa, Y
IMA Journal of Numerical Analysis
(22 Jul 2025)
Convergence and Near-optimal Sampling for Multivariate Function Approximations in Irregular Domains via Vandermonde with Arnoldi
NAKATSUKASA, Y
IMA Journal of Numerical Analysis
Mind the gap: a spectral analysis of rank collapse and signal propagation in attention layers
Nait Saada, T
Naderi, A
Tanner, J
Proceedings of the 42nd International Conference on Machine Learning
volume 267
45561-45587
(11 Nov 2025)
Mind the Gap: a Spectral Analysis of Rank Collapse and Signal Propagation in Attention Layers
Tanner, J