Ott, Lionel

8 publications

L4DC 2022 Diffeomorphic Transforms for Generalised Imitation Learning Weiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos

ICML 2022 Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos

UAI 2021 No-Regret Approximate Inference via Bayesian Optimisation Rafael Oliveira, Lionel Ott, Fabio Ramos

CoRL 2020 Volumetric Grasping Network: Real-Time 6 DOF Grasp Detection in Clutter Michel Breyer, Jen Jen Chung, Lionel Ott, Roland Siegwart, Juan Nieto

AISTATS 2019 Bayesian Optimisation Under Uncertain Inputs Rafael Oliveira, Lionel Ott, Fabio Ramos

CoRL 2019 Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction Weiming Zhi, Lionel Ott, Fabio Ramos

NeurIPS 2016 Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments Ransalu Senanayake, Lionel Ott, Simon O'Callaghan, Fabio T Ramos

NeurIPS 2014 On Integrated Clustering and Outlier Detection Lionel Ott, Linsey Pang, Fabio T Ramos, Sanjay Chawla