16 citations · 26 across the 5 of their papers we have counts for
5 papers
Neural Speed Reading with Structural-Jump-LSTM
Christian Hansen, Casper Hansen, Stephen Alstrup +2
Recurrent neural networks (RNNs) can model natural language by sequentially 'reading' input tokens and outputting a distributed representation of each token. Due to the sequential…
Modelling Sequential Music Track Skips using a Multi-RNN Approach
Christian Hansen, Casper Hansen, Stephen Alstrup +2
Modelling sequential music skips provides streaming companies the ability to better understand the needs of the user base, resulting in a better user experience by reducing the nee…
Neural Check-Worthiness Ranking with Weak Supervision: Finding Sentences for Fact-Checking
Casper Hansen, Christian Hansen, Stephen Alstrup +2
Automatic fact-checking systems detect misinformation, such as fake news, by (i) selecting check-worthy sentences for fact-checking, (ii) gathering related information to the sente…
Near-Optimal Induced Universal Graphs for Bounded Degree Graphs
Mikkel Abrahamsen, Stephen Alstrup, Jacob Holm +2
A graph is an induced universal graph for a family of graphs if every graph in is a vertex-induced subgraph of . For the family of all undirected graphs on verti…
Adjacency labeling schemes and induced-universal graphs
Stephen Alstrup, Haim Kaplan, Mikkel Thorup +1
We describe a way of assigning labels to the vertices of any undirected graph on up to vertices, each composed of bits, such that given the labels of two vertices, a…