← Authors

Dirk Husmeier

12 papers · 2009–2024 · 5 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (15) 🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (24) 🌈 Renaissance Researcher (5) 🧬 Topic Evolution πŸ† Keyword Champion (2) 🌱 Topic Pioneer πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (12) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (55)

Conferences

AISTATS (5) ICML (3) NIPS (2) JMLR (1) WACV (1)

Top co-authors

Maurizio Filippone (2) Alan Lazarus (2) Simon Rogers (2) Frank Dondelinger (2) Hao Gao (2) David Dalton (2) Roderick Murray-Smith (1) Athanasios Tragakis (1) Richard Reeve (1) V. Anne Smith (1)

Keywords

gradient matching (4) gaussian process (3) parameter inference (3) bayesian inference (3) dynamic bayesian network (3) time series (2) markov chain monte carlo (2) time series analysis (2) bayesian regularization (1) structure learning (1) nonparametric bayesian (1) network structure learning (1) gene expression (1) ecological modeling (1) non-stationary processes (1) mcmc sampling (1) network reconstruction (1) posterior sampling (1) change-point detection (1) medical image segmentation (1)

Papers

Physics and Lie symmetry informed Gaussian processes ICML 2024
Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations JMLR 2024
The Fully Convolutional Transformer for Medical Image Segmentation WACV 2023
Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations AISTATS 2018
Fast Parameter Inference in Nonlinear Dynamical Systems using Iterative Gradient Matching ICML 2016
Controversy in mechanistic modelling with Gaussian processes ICML 2015
Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus AISTATS 2014
ODE parameter inference using adaptive gradient matching with Gaussian processes AISTATS 2013
Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes AISTATS 2013
Bayesian regularization of non-homogeneous dynamic Bayesian networks by globally coupling interaction parameters AISTATS 2012
Inter-time segment information sharing for non-homogeneous dynamic Bayesian networks NIPS 2010
Non-stationary continuous dynamic Bayesian networks NIPS 2009