Husmeier, Dirk

18 publications

JMLR 2024 Boundary Constrained Gaussian Processes for Robust Physics-Informed Machine Learning of Linear Partial Differential Equations David Dalton, Alan Lazarus, Hao Gao, Dirk Husmeier

ICML 2024 Physics and Lie Symmetry Informed Gaussian Processes David Dalton, Dirk Husmeier, Hao Gao

WACV 2023 The Fully Convolutional Transformer for Medical Image Segmentation Athanasios Tragakis, Chaitanya Kaul, Roderick Murray-Smith, Dirk Husmeier

AISTATS 2018 Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations Alan Lazarus, Dirk Husmeier, Theodore Papamarkou

ICML 2016 Fast Parameter Inference in Nonlinear Dynamical Systems Using Iterative Gradient Matching Mu Niu, Simon Rogers, Maurizio Filippone, Dirk Husmeier

ICML 2015 Controversy in Mechanistic Modelling with Gaussian Processes Benn Macdonald, Catherine Higham, Dirk Husmeier

AISTATS 2014 Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus Vinny Davies, Richard E. Reeve, William T. Harvey, Francois F. Maree, Dirk Husmeier

MLJ 2013 Non-Homogeneous Dynamic Bayesian Networks with Bayesian Regularization for Inferring Gene Regulatory Networks with Gradually Time-Varying Structure Frank Dondelinger, Sophie Lèbre, Dirk Husmeier

AISTATS 2013 ODE Parameter Inference Using Adaptive Gradient Matching with Gaussian Processes Frank Dondelinger, Dirk Husmeier, Simon Rogers, Maurizio Filippone

AISTATS 2013 Reconstructing Ecological Networks with Hierarchical Bayesian Regression and Mondrian Processes Andrej Aderhold, Dirk Husmeier, V. Anne Smith

MLJ 2013 Regularization of Non-Homogeneous Dynamic Bayesian Networks with Global Information-Coupling Based on Hierarchical Bayesian Models Marco Grzegorczyk, Dirk Husmeier

AISTATS 2012 Bayesian Regularization of Non-Homogeneous Dynamic Bayesian Networks by Globally Coupling Interaction Parameters Marco Grzegorzyk, Dirk Husmeier

MLJ 2011 Non-Homogeneous Dynamic Bayesian Networks for Continuous Data Marco Grzegorczyk, Dirk Husmeier

ICML 2010 Heterogeneous Continuous Dynamic Bayesian Networks with Flexible Structure and Inter-Time Segment Information Sharing Frank Dondelinger, Sophie Lèbre, Dirk Husmeier

NeurIPS 2010 Inter-Time Segment Information Sharing for Non-Homogeneous Dynamic Bayesian Networks Dirk Husmeier, Frank Dondelinger, Sophie Lebre

NeurIPS 2009 Non-Stationary Continuous Dynamic Bayesian Networks Marco Grzegorczyk, Dirk Husmeier

MLJ 2008 Improving the Structure MCMC Sampler for Bayesian Networks by Introducing a New Edge Reversal Move Marco Grzegorczyk, Dirk Husmeier

NeCo 2000 The Bayesian Evidence Scheme for Regularizing Probability-Density Estimating Neural Networks Dirk Husmeier