398 citations · 474 across the 14 of their papers we have counts for
5 papers · 1 filter
Gaussian Process Regression for In-situ Capacity Estimation of Lithium-ion Batteries
Robert R. Richardson, Christoph R. Birkl, Michael A. Osborne +1
Accurate on-board capacity estimation is of critical importance in lithium-ion battery applications. Battery charging/discharging often occurs under a constant current load, and he…
Sensor Selection and Random Field Reconstruction for Robust and Cost-effective Heterogeneous Weather Sensor Networks for the Developing World
Pengfei Zhang, Ido Nevat, Gareth W. Peters +4
We address the two fundamental problems of spatial field reconstruction and sensor selection in heterogeneous sensor networks: (i) how to efficiently perform spatial field reconstr…
Bayesian Optimization for Probabilistic Programs
Tom Rainforth, Tuan Anh Le, Jan-Willem van de Meent +2
We present the first general purpose framework for marginal maximum a posteriori estimation of probabilistic program variables. By using a series of code transformations, the evide…
A Novel Approach to Forecasting Financial Volatility with Gaussian Process Envelopes
Syed Ali Asad Rizvi, Stephen J. Roberts, Michael A. Osborne +1
In this paper we use Gaussian Process (GP) regression to propose a novel approach for predicting volatility of financial returns by forecasting the envelopes of the time series. We…
Distribution of Gaussian Process Arc Lengths
Justin D. Bewsher, Alessandra Tosi, Michael A. Osborne +1
We present the first treatment of the arc length of the Gaussian Process (GP) with more than a single output dimension. GPs are commonly used for tasks such as trajectory modelling…