Dirk Husmeier
12 papers · 2009–2024 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (26) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Unstoppable Β· Bronze
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Renaissance Researcher
(7)
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Century Club Β· Bronze
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Research topics
Machine Learning
(10)
Optimization & Theory
(10)
Artificial Intelligence
(9)
Bayesian & Probabilistic Β· Artificial Intelligence
(9)
Bayesian & Probabilistic Β· Machine Learning
(5)
Healthcare & Medicine
(4)
Research
(4)
Data Science & Analytics
(2)
Deep Learning
(2)
Mathematics & Optimization
(2)
Core Methods
(2)
Learning Types
(2)
Computer Vision
(1)
Interdisciplinary
(1)
Knowledge & Reasoning
(1)
Keywords
gradient matching
(4)
dynamic bayesian network
(3)
markov chain monte carlo
(3)
parameter inference
(3)
bayesian inference
(3)
gaussian process
(3)
change point detection
(2)
time series
(2)
time series analysis
(2)
posterior sampling
(1)
gaussian processes
(1)
medical image segmentation
(1)
kernel design
(1)
regularization
(1)
spike-and-slab prior
(1)
bayesian regularization
(1)
gene expression
(1)
ecological modeling
(1)
network structure learning
(1)
structure learning
(1)
Papers
Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations
JMLR 2024
Physics and Lie symmetry informed Gaussian processes
ICML 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
NeurIPS 2010
Non-stationary continuous dynamic Bayesian networks
NeurIPS 2009