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Lookback for Learning to Branch
The expressive and computationally inexpensive bipartite Graph Neural Ne...
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Data Processing Framework for Ship Performance Analysis
The hydrodynamic performance of a sea-going ship can be analysed using t...
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Ship Performance Monitoring using Machine-learning
The hydrodynamic performance of a sea-going ship varies over its lifespa...
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Hybrid Models for Learning to Branch
A recent Graph Neural Network (GNN) approach for learning to branch has ...
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Revisiting Training Strategies and Generalization Performance in Deep Metric Learning
Deep Metric Learning (DML) is arguably one of the most influential lines...
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