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Scalable Interpolation of Satellite Altimetry Data with Probabilistic Machine Learning
In this work, we present a new open-source Python programming library for performing efficient interpolation of non-stationary …
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Co-located OLCI Optical Imagery and SAR Altimetry from Sentinel-3 for Enhanced Arctic Spring Sea Ice Surface Classification
The Sentinel-3A and Sentinel-3B satellites, launched in February 2016 and April 2018 respectively, build on the legacy of CryoSat-2 by …
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Plasma Surrogate Modelling using Fourier Neural Operators
Predicting plasma evolution within a Tokamak reactor is crucial to realizing the goal of sustainable fusion. Capabilities in …
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Plasma Surrogate Modelling using Fourier Neural Operators
ParticleDA.jl v.1.0: a distributed particle-filtering data assimilation package
Digital twins of physical and human systems informed by real-time data are becoming ubiquitous across weather forecasting, disaster …
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Challenging Systematic Prejudices: An Investigation into Bias Against Women and Girls
The International Research Centre on Artificial Intelligence (IRCAI), under the auspices of UNESCO, in collaboration with UNESCO HQ, …
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Faster Training of Neural ODEs Using Gauß–Legendre Quadrature
Neural ODEs demonstrate strong performance in generative and time-series modelling. However, training them via the adjoint method is …
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Grasp Transfer based on Self-Aligning Implicit Representations of Local Surfaces
Objects we interact with and manipulate often share similar parts, e.g. handles, that allow us to transfer our actions flexibly due to …
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Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review
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TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) Feedback
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Enhanced GPIS Learning Based on Local and Global Focus Areas
Implicit surface learning is one of the most widely used methods for 3D surface reconstruction from raw point cloud data. Current …
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