Lionel Ott

Latest

• Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks
• Diffeomorphic Transforms for Generalised Imitation Learning
• Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation
• Stein ICP for Uncertainty Estimation in Point Cloud Matching
• Probabilistic Trajectory Prediction with Structural Constraints
• Trajectory Generation in New Environments from Past Experiences
• No-Regret Approximate Inference via Bayesian Optimisation
• Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements
• DISCO: Double Likelihood-Free Inference Stochastic Control
• Estimating Motion Uncertainty with Bayesian ICP
• Distributional Bayesian optimisation for variational inference on black-box simulators
• Spatiotemporal Learning of Directional Uncertainty in Urban Environments
• Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction
• Occupancy map building through Bayesian exploration