Dalton, D., Gao, H. and Husmeier, D. (2022) Data From: Emulation of Cardiac Mechanics using Graph Neural Networks. [Data Collection]

Torney, C. , Morales, J. and Husmeier, D. (2021) A hierarchical machine learning framework for the analysis of large scale animal movement data. [Data Collection]

Niu, M., Rogers, S. , Filippone, M. and Husmeier, D. (2017) Parameter Inference in Differential Equation Models of Biopathways using Time Warped Gradient Matching. [Data Collection] (Unpublished)

Aderhold, A., Husmeier, D. and Grzegorczyk, M. (2016) Approximate Bayesian inference in semi-mechanistic models. [Data Collection]

Aderhold, A., Husmeier, D. and Grzegorczyk, M. (2016) Hierarchical Bayesian Regression (HBR) and Analytic Gradient Calculation (GCGP). [Data Collection]

Niu, M., Rogers, S. , Filippone, M. and Husmeier, D. (2016) Fast Parameter Inference in Nonlinear Dynamical Systems using Iterative Gradient Matching. [Data Collection]

Macdonald, B., Niu, M., Rogers, S. , Filippone, M. and Husmeier, D. (2016) Approximate parameter inference in systems biology using gradient matching: a comparative evaluation. [Data Collection]

Macdonald, B., Higham, C. and Husmeier, D. (2016) Controversy in mechanistic modelling with Gaussian processes. [Data Collection]

Niu, M., Filippone, M., Husmeier, D. and Rogers, S. (2016) Inference in nonlinear differential equations. [Data Collection]