2 citations · 2 across the 2 of their papers we have counts for
3 papers
Learning the Prediction Distribution for Semi-Supervised Learning with Normalising Flows
Ivana Balažević, Carl Allen, Timothy Hospedales
As data volumes continue to grow, the labelling process increasingly becomes a bottleneck, creating demand for methods that leverage information from unlabelled data. Impressive re…
Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings
David Chang, Ivana Balazevic, Carl Allen +3
Much of biomedical and healthcare data is encoded in discrete, symbolic form such as text and medical codes. There is a wealth of expert-curated biomedical domain knowledge stored…
Multi-relational Poincaré Graph Embeddings
Ivana Balažević, Carl Allen, Timothy Hospedales
Hyperbolic embeddings have recently gained attention in machine learning due to their ability to represent hierarchical data more accurately and succinctly than their Euclidean ana…