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Semantic Cross-Pose Correspondence from a Single Example
This article focuses on predicting how an object can be transformed to a semantically meaningful pose relative to another object, given …
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Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks
In recent years, machine learning has established itself as a powerful tool for high-resolution weather forecasting. While most current …
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Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks
Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling
Global convolutions have shown increasing promise as powerful general-purpose sequence models. However, training long convolutions is …
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Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling
Learning Dynamic Tasks on a Large-scale Soft Robot in a Handful of Trials
Unlike traditional rigid robots, soft robots offer more flexibility, compliance, and adaptability. They are also typically cheaper to …
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Learning Dynamic Tasks on a Large-scale Soft Robot in a Handful of Trials
Gaussian Processes on Cellular Complexes
In recent years, there has been considerable interest in developing machine learning models on graphs to account for topological …
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Iterated INLA for State and Parameter Estimation in Nonlinear Dynamical Systems
Data assimilation (DA) methods use priors arising from differential equations to robustly interpolate and extrapolate data. Popular …
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A Unifying Variational Framework for Gaussian Process Motion Planning
To control how a robot moves, motion planning algorithms must compute paths in high-dimensional state spaces while accounting for …
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Interpretable Deep Gaussian Processes for Geospatial Tasks
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Thin and Deep Gaussian Processes
Gaussian processes (GPs) can provide a principled approach to uncertainty quantification with easy-to-interpret kernel hyperparameters, …
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Neural Field Movement Primitives for Joint Modelling of Scenes and Motions
This paper presents a novel Learning from Demonstration (LfD) method that uses neural fields to learn new skills efficiently and …
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