no code implementations • 2 Mar 2023 • Thomas Tunstall, Tim Rogers, Wolfram Möbius
Environmental heterogeneity can drive genetic heterogeneity in expanding populations; mutant strains may emerge that trade overall growth rate for an improved ability to survive in patches that are hostile to the wild type.
no code implementations • 16 Sep 2022 • Andrei Sontag, Tim Rogers, Christian A. Yates
In this paper, we investigate a generalised model of $N$ particles undergoing second-order non-local interactions on a lattice.
no code implementations • 10 Nov 2020 • Yvonne Krumbeck, Qian Yang, George W. A. Constable, Tim Rogers
Understanding the relationship between complexity and stability in large dynamical systems -- such as ecosystems -- remains a key open question in complexity theory which has inspired a rich body of work developed over more than fifty years.
2 code implementations • 17 Jun 2019 • Yvonne Krumbeck, George W. A. Constable, Tim Rogers
Sexual reproduction is not always synonymous with the existence of two morphologically different sexes; isogamous species produce sex cells of equal size, typically falling into multiple distinct self-incompatible classes, termed mating types.
Populations and Evolution
no code implementations • NeurIPS 2010 • Tim Rogers, Chuck Kalish, Joseph Harrison, Jerry Zhu, Bryan R. Gibson
When the distribution of unlabeled data in feature space lies along a manifold, the information it provides may be used by a learner to assist classification in a semi-supervised setting.
no code implementations • NeurIPS 2008 • Rui M. Castro, Charles Kalish, Robert Nowak, Ruichen Qian, Tim Rogers, Jerry Zhu
We investigate a topic at the interface of machine learning and cognitive science.