19 citations · 30 across the 4 of their papers we have counts for
4 papers
Learning to Plan Hierarchically from Curriculum
Philippe Morere, Lionel Ott, Fabio Ramos
We present a framework for learning to plan hierarchically in domains with unknown dynamics. We enhance planning performance by exploiting problem structure in several ways: (i) We…
Bayesian optimisation under uncertain inputs
Rafael Oliveira, Lionel Ott, Fabio Ramos
Bayesian optimisation (BO) has been a successful approach to optimise functions which are expensive to evaluate and whose observations are noisy. Classical BO algorithms, however,…
Urban Scene Segmentation with Laser-Constrained CRFs
Charika De Alvis, Lionel Ott, Fabio Ramos
Robots typically possess sensors of different modalities, such as colour cameras, inertial measurement units, and 3D laser scanners. Often, solving a particular problem becomes eas…
Integer Programming Relaxations for Integrated Clustering and Outlier Detection
Lionel Ott, Linsey Pang, Fabio Ramos +2
In this paper we present methods for exemplar based clustering with outlier selection based on the facility location formulation. Given a distance function and the number of outlie…