Adrian Wills

34 papers C 2Journal 25Unranked 7
YearRankTypeTitle / Venue / Authors
2025 — conf
Divide, Conquer, Combine Bayesian Decision Tree Sampling.
AABI
Jodie A. Cochrane, Adrian Wills, Sarah J. Johnson
2024 J jnl
Divide, Conquer, Combine Bayesian Decision Tree Sampling.
CoRR
Jodie A. Cochrane, Adrian Wills, Sarah J. Johnson
2021 J jnl
A Heteroscedastic Likelihood Model for Two-Frame Optical Flow.
IEEE Robotics Autom. Lett.
Timothy Farnworth, Christopher Renton, Reuben Strydom, Adrian Wills, Tristan Perez
2021 J jnl
A Probabilistically Motivated Learning Rate Adaptation for Stochastic Optimization.
CoRR
Filip de Roos, Carl Jidling, Adrian Wills, Thomas B. Schön, Philipp Hennig
2020 J jnl
A Heteroscedastic Likelihood Model for Two-frame Optical Flow.
CoRR
Timothy Farnworth, Christopher Renton, Reuben Strydom, Adrian Wills, Tristan Perez
2020 J jnl
Bayesian Non-parametric Bragg-edge Fitting for Neutron Transmission Strain Imaging.
CoRR
Johannes N. Hendriks, Nicholas O'Dell, Adrian Wills, Anton S. Tremsin, Christopher Wensrich, Takenao Shinohara
2020 J jnl
Constrained Subspace Method for the Identification of Structured State-Space Models (COSMOS).
IEEE Trans. Autom. Control.
Chengpu Yu, Lennart Ljung, Adrian Wills, Michel Verhaegen
2020 J jnl
Constructing a variational family for nonlinear state-space models.
CoRR
Jarrad Courts, Christopher Renton, Thomas B. Schön, Adrian Wills
2020 J jnl
Linearly Constrained Neural Networks.
CoRR
Johannes N. Hendriks, Carl Jidling, Adrian Wills, Thomas B. Schön
2020 J jnl
Practical Bayesian System Identification using Hamiltonian Monte Carlo.
CoRR
Johannes N. Hendriks, Adrian Wills, Brett Ninness, Johan Dahlin
2020 J jnl
Variational Nonlinear System Identification.
CoRR
Jarrad Courts, Adrian Wills, Thomas B. Schön, Brett Ninness
2020 J jnl
Variational State and Parameter Estimation.
CoRR
Jarrad Courts, Johannes N. Hendriks, Adrian Wills, Thomas B. Schön, Brett Ninness
2019 J jnl
Deep kernel learning for integral measurements.
CoRR
Carl Jidling, Johannes N. Hendriks, Thomas B. Schön, Adrian Wills
2019 J jnl
Learning Continuous Occupancy Maps with the Ising Process Model.
CoRR
Nicholas O'Dell, Christopher Renton, Adrian Wills
2019 J jnl
Stochastic quasi-Newton with line-search regularization.
CoRR
Adrian Wills, Thomas B. Schön
2018 J jnl
A fast quasi-Newton-type method for large-scale stochastic optimisation.
CoRR
Adrian Wills, Carl Jidling, Thomas B. Schön
2018 J jnl
Evaluating the squared-exponential covariance function in Gaussian processes with integral observations.
CoRR
Johannes N. Hendriks, Carl Jidling, Adrian Wills, Thomas B. Schön
2018 J jnl
Stochastic quasi-Newton with adaptive step lengths for large-scale problems.
CoRR
Adrian Wills, Thomas B. Schön
2017 — conf
Development of a planning tool for network ancillary services using customer-owned solar and battery storage.
ISGT Europe
Antonio Del Giudice, Adrian Wills, Andrew Mears
2017 — conf
Linearly constrained Gaussian processes.
NIPS
Carl Jidling, Niklas Wahlström, Adrian Wills, Thomas B. Schön
2016 C conf
A nonlinear programming approach to exposure optimization in scanning laser lithography.
ACC
Andrew J. Fleming, Adrian Wills, Omid T. Ghalehbeygi, Ben Routley, Brett Ninness
2013 J jnl
Identification of Hammerstein-Wiener models.
Autom.
Adrian Wills, Thomas B. Schön, Lennart Ljung, Brett Ninness
2011 J jnl
System identification of nonlinear state-space models.
Autom.
Thomas B. Schön, Adrian Wills, Brett Ninness
2010 J jnl
Discussion on: "Generalised Linear Dynamic Factor Models: An Approach via Singular Autoregressions".
Eur. J. Control
Brett Ninness, Adrian Wills, Hüseyin Akçay
2010 — conf
Estimating state-space models in innovations form using the expectation maximisation algorithm.
CDC
Adrian Wills, Thomas B. Schön, Brett Ninness
2010 — conf
Estimation of general nonlinear state-space systems.
CDC
Brett Ninness, Adrian Wills, Thomas B. Schön
2010 J jnl
Issues in sampling and estimating continuous-time models with stochastic disturbances.
Autom.
Lennart Ljung, Adrian Wills
2009 — conf
ASIC and FPGA implementation strategies for Model Predictive Control.
ECC
Geoff Knagge, Adrian Wills, Adam Mills, Brett Ninness
2009 J jnl
Maximum Likelihood Estimation of State Space Models From Frequency Domain Data.
IEEE Trans. Autom. Control.
Adrian Wills, Brett Ninness, Stuart Gibson
2009 C conf
Nonlinear model predictive control of an inverted pendulum.
ACC
Adam Mills, Adrian Wills, Brett Ninness
2008 J jnl
Maximum likelihood identification of Wiener models.
Autom.
Anna Hagenblad, Lennart Ljung, Adrian Wills
2008 J jnl
On Gradient-Based Search for Multivariable System Estimates.
IEEE Trans. Autom. Control.
Adrian Wills, Brett Ninness
2005 — conf
Application of MPC to an active structure using sampling rates up to 25kHz.
CDC/ECC
Adrian Wills, Dale Bates, Andrew J. Fleming, Brett Ninness, S. O. Reza Moheimani
2005 J jnl
Maximum-likelihood parameter estimation of bilinear systems.
IEEE Trans. Autom. Control.
Stuart Gibson, Adrian Wills, Brett Ninness