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09/26/2022
Developing Machine-Learned Potentials for Coarse-Grained Molecular Simulations: Challenges and Pitfalls
Coarse graining (CG) enables the investigation of molecular properties f...
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09/26/2022
Investigation of Machine Learning-based Coarse-Grained Mapping Schemes for Organic Molecules
Due to the wide range of timescales that are present in macromolecular s...
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11/09/2018
Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence
In this paper we introduce evidence transfer for clustering, a deep lear...
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04/07/2018
ANNETT-O: An Ontology for Describing Artificial Neural Network Evaluation, Topology and Training
Deep learning models, while effective and versatile, are becoming increa...
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12/09/2010