activity
20122023
most citedThe concurrent evolution of cooperation and the population structures that support it

84 citations · 171 across the 10 of their papers we have counts for

collaborators

10 papers

stat.ME2023★ 1 cited

On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs

Richard A Watson, Hengrui Cai, Xinming An +2

Heterogeneity and comorbidity are two interwoven challenges associated with various healthcare problems that greatly hampered research on developing effective treatment and underst…

astro-ph.HE2021★ 11 cited

Type Ia Supernova Models: Asymmetric Remnants and Supernova Remnant G1.9+0.3

Alice G. Stone, Heather T. Johnson, John M. Blondin +5

The youngest Galactic supernova remnant G1.9+0.3, probably the result of a Type Ia supernova, shows surprising anomalies in the distribution of its ejecta in space and velocity. In…

cs.LG2018★ 10 cited

Deep Optimisation: Solving Combinatorial Optimisation Problems using Deep Neural Networks

J. R. Caldwell, R. A. Watson, C. Thies +1

Deep Optimisation (DO) combines evolutionary search with Deep Neural Networks (DNNs) in a novel way - not for optimising a learning algorithm, but for finding a solution to an opti…

cs.NE2018★ 36 cited

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities

Joel Lehman, Jeff Clune, Dusan Misevic +50

Biological evolution provides a creative fount of complex and subtle adaptations, often surprising the scientists who discover them. However, because evolution is an algorithmic pr…

q-bio.PE2016★ 13 cited

Resolving the paradox of evolvability with learning theory: How evolution learns to improve evolvability on rugged fitness landscapes

Loizos Kounios, Jeff Clune, Kostas Kouvaris +4

It has been hypothesized that one of the main reasons evolution has been able to produce such impressive adaptations is because it has improved its own ability to evolve -- "the ev…

q-bio.PE2015★ 14 cited

How Evolution Learns to Generalise: Principles of under-fitting, over-fitting and induction in the evolution of developmental organisation

Kostas Kouvaris, Jeff Clune, Louis Kounios +2

One of the most intriguing questions in evolution is how organisms exhibit suitable phenotypic variation to rapidly adapt in novel selective environments which is crucial for evolv…