8 citations · 8 across the 6 of their papers we have counts for
Showing 2016 · stat.MLShow all
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stat.ML2016
Theory reconstruction: a representation learning view on predicate invention
Sebastijan Dumancic, Wannes Meert, Hendrik Blockeel
With this positional paper we present a representation learning view on predicate invention. The intention of this proposal is to bridge the relational and deep learning communitie…
stat.ML2016
Clustering-Based Relational Unsupervised Representation Learning with an Explicit Distributed Representation
Sebastijan Dumancic, Hendrik Blockeel
The goal of unsupervised representation learning is to extract a new representation of data, such that solving many different tasks becomes easier. Existing methods typically focus…