Talks & Poster Presentations

2025

On deriving efficient information-seeking behaviour for intelligent autonomous systems.
Applied Mathematics Seminar, McGill University, Montreal, Canada.

Message passing-based inference in autoregressive active inference agent.
International Workshop on Active Inference 2025, McGill University, Montreal, Canada.

Bayesian autoregression to optimize temporal Matérn kernel Gaussian process hyperparameters.
International Conference on Probabilistic Numerics, EURECOM, Antibes, France.

2024

Embodied artificial intelligence through free energy minimization.
EAISI Café, TU Eindhoven, Netherlands.

Planning to avoid ambiguous states through Gaussian approximations to non-linear sensors.
International Workshop on Active Inference 2024, Corpus Christi College, Oxford, United Kingdom.

Bayesian grey-box identification of nonlinear convection effects in heat transfer dynamics.
IEEE Conference on Control Technology and Applications 2024, Northumbria University, Newcastle-upon-Tyne, United Kingdom.

Information-seeking polynomial NARX model-predictive control through free energy minimization.
IEEE American Control Conference 2024, Toronto, Canada.

Bayesian machine learning for embodied artificial intelligence.
Machine Learning Workshop @ AI Center, RWTH Aachen, Germany.

Natural AI for control and mobile robotics.
Centre for Research Training in AI Ireland + Amsterdam AI network event, University of Amsterdam, Netherlands.

2023

Variational Bayesian inference for system identification.
Nonlinear System Identification Workshop 2023, Eindhoven, Netherlands.

2022

Variational message passing for online Bayesian NARMAX identification.
IEEE American Control Conference 2022, Atlanta, United States.

2021

Target robust discriminant analysis.
IAPR Joint International Workshops on Statistical + Structural and Syntactic Pattern Recognition 2020, Online.

2020

Variational Bayes for signal processing.
Sioux Technologies OPT/ML Seminar, Online.

Online system identification in a Duffing oscillator using free energy minimisation.
International Workshop on Active Inference 2020, Online.

Schedule-free variational message passing for Bayesian filtering.
Neuromatch Conference 2020, Online.

2019

Robust importance-weighted cross-validation under sample selection bias.
IEEE International Workshop on Machine Learning for Signal Processing 2019, University of Pittsburgh, Pittsburgh, PA, USA.

Sequential domain-adaptive machine learning.
Niels Stensen Conference 2019, Kasteel Oud-Poelgeest, Leiden, the Netherlands.

Cross-center smoothness prior for Bayesian image segmentation.
Conference on Information Processing in Medical Imaging 2019, Hong Kong University of Science & Technology, Hong Kong.

MR acquisition-invariant representation learning.
IEEE International Symposium on Biomedical Imaging 2019, Venice, Italy.

2018

Big data & trust.
Niels Stensen Conference 2018 - Workshop Big Data, Kasteel Oud-Poelgeest, Leiden, the Netherlands.

Effects of sampling skewness in importance-weighted cross-validation.
IEEE International Conference on Pattern Recognition 2018, Beijing, China.

MR acquisition-invariant representation learning.
NVPHBV 2018 - Spring meeting, TU Eindhoven, Eindhoven, the Netherlands.

2017

Variance reduction techniques for importance-weighted cross-validation.
ICT.OPEN 2017 - Machine Learning Track, Amersfoort, Netherlands.

2016

On cross-validation under covariate shift.
IEEE International Conference on Pattern Recognition 2016, Cancún, Mexico.

Target contrastive estimator for robust domain adaptation.
NVPHBV 2016 - Spring meeting, Erasmus MC, Rotterdam, the Netherlands.

Feature-level domain adaptation.
ICT.OPEN 2016 - Natural Artificial Intelligence Track, Amersfoort, Netherlands.

2015

Feature absence regularization for domain-adaptive learning.
SNN Symposium - Intelligent Machines, Amersfoort, Netherlands.