A Bayesian Filtering Algorithm for Gaussian Mixture Models. - Adrian G. Wills; Johannes N. Hendriks; Christopher Renton; Brett Ninness (CoRR, 2017)

Evaluating the squared-exponential covariance function in Gaussian processes with integral observations. - Johannes N. Hendriks; Carl Jidling; Adrian Wills; Thomas B. Schön (CoRR, 2018)

Deep kernel learning for integral measurements. - Carl Jidling; Johannes N. Hendriks; Thomas B. Schön; Adrian Wills (CoRR, 2019)

Linearly Constrained Neural Networks. - Johannes N. Hendriks; Carl Jidling; Adrian Wills; Thomas B. Schön (CoRR, 2020)

Bayesian Non-parametric Bragg-edge Fitting for Neutron Transmission Strain Imaging. - Johannes N. Hendriks; Nicholas O'Dell; Adrian Wills; Anton S. Tremsin; Christopher Wensrich; Takenao Shinohara (CoRR, 2020)

Practical Bayesian System Identification using Hamiltonian Monte Carlo. - Johannes N. Hendriks; Adrian Wills; Brett Ninness; Johan Dahlin (CoRR, 2020)

Deep Energy-Based NARX Models. - Johannes N. Hendriks; Fredrik K. Gustafsson; Antônio H. Ribeiro; Adrian G. Wills; Thomas B. Schön (CoRR, 2020)

Beyond Occam's Razor in System Identification: Double-Descent when Modeling Dynamics. - Antônio H. Ribeiro; Johannes N. Hendriks; Adrian G. Wills; Thomas B. Schön (CoRR, 2020)

Variational State and Parameter Estimation. - Jarrad Courts; Johannes N. Hendriks; Adrian Wills; Thomas B. Schön; Brett Ninness (CoRR, 2020)

Data to Controller for Nonlinear Systems: An Approximate Solution. - Johannes N. Hendriks; James R. Z. Holdsworth; Adrian G. Wills; Thomas B. Schön; Brett Ninness (IEEE Control. Syst. Lett., 2022)

Modified Distflow: Novel Power Flow Model for Distribution Grid. - Shubhankar Kapoor; Johannes N. Hendriks; Adrian G. Wills; Lachlan Blackhall; Masoume Mahmoodi (ISGT EUROPE, 2024)