Functional and parametric identifiability for universal differential equations applied to chemical reaction networks
 Loman, T Baker, R (15 Oct 2025) https://arxiv.org/abs/2510.14140v1
A likelihood-based framework for simultaneously learning both noise and growth dynamics using biologically-informed neural networks
 Crossley, R Baker, R (11 Jun 2026) https://arxiv.org/abs/2606.13475v2
An energy-based mathematical model of actin-driven protrusions in eukaryotic chemotaxis
 Johnson, S Parsons, M Baker, R Maini, P (24 Sep 2025) https://arxiv.org/abs/2509.20303v1
Parameter Estimation for Differential Equation Models Using Generalized Profiling: A Computational Tutorial
 Simpson, M Bennett, J Baker, R (29 Jan 2026) https://arxiv.org/abs/2602.04891v3
Quantifying the effect of phenotype on clustering behaviour in melanoma: from monoculture to co-culture
 Schofield, N White, R Baker, R Byrne, H (27 Apr 2026) https://arxiv.org/abs/2604.24673v2
A likelihood-based framework for simultaneously learning both noise and growth dynamics using biologically-informed neural networks
 Crossley, R Baker, R (11 Jun 2026) https://arxiv.org/abs/2606.13475v2
Survival and invasion dynamics in cell populations: an analytical framework for threshold behaviour in nonlinear age-structured models
 Abo, S Baker, R (21 Nov 2025) https://arxiv.org/abs/2511.17279v2
Reliable mechanistic operator recovery with biologically-informed neural networks: principles for architecture and optimisation design
 Crossley, R Yin, Y Waters, S Baker, R (08 Jul 2026) https://arxiv.org/abs/2607.07425v2
Survival and invasion dynamics in cell populations: an analytical framework for threshold behaviour in nonlinear age-structured models
 Abo, S Baker, R (21 Nov 2025) https://arxiv.org/abs/2511.17279v2
Subscribe to