Adam Hartshorne — accepted AI-conference papers

2024

Identifying Optimal Launch Sites of High-Altitude Latex-Balloons using Bayesian Optimisation for the Task of Station-Keeping

Jack Saunders, Sajad Saeedi G., Adam Hartshorne, Binbin Xu, Özgür Simsek, Alan Hunter +1

IROS 2024

Station-keeping tasks for high-altitude balloons show promise in areas such as ecological surveys, atmospheric analysis, and communication relays. However, identifying the optimal time and position to launch a latex high-altitude balloon is still a challenging and multifaceted problem. For example,

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2022

Aligned Multi-Task Gaussian Process

Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellström, Carl Henrik Ek, Neill Campbell

AISTATS 2022poster

Multi-task learning requires accurate identification of the correlations between tasks. In real-world time-series, tasks are rarely perfectly temporally aligned; traditional multi-task models do not account for this and subsequent errors in correlation estimation will result in poor predictive perfo…

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