Adrian Wills

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 20

Top Topics

Gaussian Process

Nonlinear Programming

Linearly Constrained

Top Venues

IEEE Robotics Autom. Lett.

Publications

Jodie A. Cochrane, Adrian Wills, Sarah J. Johnson
Divide, Conquer, Combine Bayesian Decision Tree Sampling. CoRR (2024)
Filip de Roos, Carl Jidling, Adrian Wills, Thomas B. Schön, Philipp Hennig
A Probabilistically Motivated Learning Rate Adaptation for Stochastic Optimization. CoRR (2021)
Timothy Farnworth, Christopher Renton, Reuben Strydom, Adrian Wills, Tristan Perez
A Heteroscedastic Likelihood Model for Two-Frame Optical Flow. IEEE Robotics Autom. Lett. 6 (2) (2021)
Johannes N. Hendriks, Nicholas O'Dell, Adrian Wills, Anton S. Tremsin, Christopher Wensrich, Takenao Shinohara
Bayesian Non-parametric Bragg-edge Fitting for Neutron Transmission Strain Imaging. CoRR (2020)
Johannes N. Hendriks, Carl Jidling, Adrian Wills, Thomas B. Schön
Linearly Constrained Neural Networks. CoRR (2020)
Johannes N. Hendriks, Adrian Wills, Brett Ninness, Johan Dahlin
Practical Bayesian System Identification using Hamiltonian Monte Carlo. CoRR (2020)
Timothy Farnworth, Christopher Renton, Reuben Strydom, Adrian Wills, Tristan Perez
A Heteroscedastic Likelihood Model for Two-frame Optical Flow. CoRR (2020)
Jarrad Courts, Christopher Renton, Thomas B. Schön, Adrian Wills
Constructing a variational family for nonlinear state-space models. CoRR (2020)
Chengpu Yu, Lennart Ljung, Adrian Wills, Michel Verhaegen
Constrained Subspace Method for the Identification of Structured State-Space Models (COSMOS). IEEE Trans. Autom. Control. 65 (10) (2020)
Jarrad Courts, Adrian Wills, Thomas B. Schön, Brett Ninness
Variational Nonlinear System Identification. CoRR (2020)
Jarrad Courts, Johannes N. Hendriks, Adrian Wills, Thomas B. Schön, Brett Ninness
Variational State and Parameter Estimation. CoRR (2020)
Nicholas O'Dell, Christopher Renton, Adrian Wills
Learning Continuous Occupancy Maps with the Ising Process Model. CoRR (2019)
Adrian Wills, Thomas B. Schön
Stochastic quasi-Newton with line-search regularization. CoRR (2019)
Carl Jidling, Johannes N. Hendriks, Thomas B. Schön, Adrian Wills
Deep kernel learning for integral measurements. CoRR (2019)
Adrian Wills, Thomas B. Schön
Stochastic quasi-Newton with adaptive step lengths for large-scale problems. CoRR (2018)
Adrian Wills, Carl Jidling, Thomas B. Schön
A fast quasi-Newton-type method for large-scale stochastic optimisation. CoRR (2018)
Johannes N. Hendriks, Carl Jidling, Adrian Wills, Thomas B. Schön
Evaluating the squared-exponential covariance function in Gaussian processes with integral observations. CoRR (2018)
Carl Jidling, Niklas Wahlström, Adrian Wills, Thomas B. Schön
Linearly constrained Gaussian processes. NIPS (2017)
Antonio Del Giudice, Adrian Wills, Andrew Mears
Development of a planning tool for network ancillary services using customer-owned solar and battery storage. ISGT Europe (2017)
Andrew J. Fleming, Adrian Wills, Omid T. Ghalehbeygi, Ben Routley, Brett Ninness
A nonlinear programming approach to exposure optimization in scanning laser lithography. ACC (2016)
Adrian Wills, Thomas B. Schön, Lennart Ljung, Brett Ninness
Identification of Hammerstein-Wiener models. Autom. 49 (1) (2013)
Thomas B. Schön, Adrian Wills, Brett Ninness
System identification of nonlinear state-space models. Autom. 47 (1) (2011)
Lennart Ljung, Adrian Wills
Issues in sampling and estimating continuous-time models with stochastic disturbances. Autom. 46 (5) (2010)
Brett Ninness, Adrian Wills, Hüseyin Akçay
Discussion on: "Generalised Linear Dynamic Factor Models: An Approach via Singular Autoregressions". Eur. J. Control 16 (3) (2010)
Brett Ninness, Adrian Wills, Thomas B. Schön
Estimation of general nonlinear state-space systems. CDC (2010)
Adrian Wills, Thomas B. Schön, Brett Ninness
Estimating state-space models in innovations form using the expectation maximisation algorithm. CDC (2010)
Geoff Knagge, Adrian Wills, Adam Mills, Brett Ninness
ASIC and FPGA implementation strategies for Model Predictive Control. ECC (2009)
Adam Mills, Adrian Wills, Brett Ninness
Nonlinear model predictive control of an inverted pendulum. ACC (2009)
Adrian Wills, Brett Ninness, Stuart Gibson
Maximum Likelihood Estimation of State Space Models From Frequency Domain Data. IEEE Trans. Autom. Control. 54 (1) (2009)
Anna Hagenblad, Lennart Ljung, Adrian Wills
Maximum likelihood identification of Wiener models. Autom. 44 (11) (2008)
Adrian Wills, Brett Ninness
On Gradient-Based Search for Multivariable System Estimates. IEEE Trans. Autom. Control. 53 (1) (2008)
Adrian Wills, Dale Bates, Andrew J. Fleming, Brett Ninness, S. O. Reza Moheimani
Application of MPC to an active structure using sampling rates up to 25kHz. CDC/ECC (2005)
Stuart Gibson, Adrian Wills, Brett Ninness
Maximum-likelihood parameter estimation of bilinear systems. IEEE Trans. Autom. Control. 50 (10) (2005)