176 citations
- Imperial College LondonGB100 papers
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- Centre National de la Recherche ScientifiqueFR4 papers
- Technical University of MunichDE4 papers
- Institute for High Energy PhysicsES3 papers
- Institute of Group AnalysisGB3 papers
- Lancaster UniversityGB3 papers
- MRC London Institute of Medical SciencesGB3 papers
- Nanjing University of Science and TechnologyCN3 papers
4 papers · 1 filter
Likelihood-free inference with an improved cross-entropy estimator
Markus Stoye, Johann Brehmer, Gilles Louppe +2
We extend recent work (Brehmer, et. al., 2018) that use neural networks as surrogate models for likelihood-free inference. As in the previous work, we exploit the fact that the joi…
Neural Embeddings of Graphs in Hyperbolic Space
Benjamin Paul Chamberlain, James Clough, Marc Peter Deisenroth
Neural embeddings have been used with great success in Natural Language Processing (NLP). They provide compact representations that encapsulate word similarity and attain state-of-…
Doubly Stochastic Variational Inference for Deep Gaussian Processes
Hugh Salimbeni, Marc Deisenroth
Gaussian processes (GPs) are a good choice for function approximation as they are flexible, robust to over-fitting, and provide well-calibrated predictive uncertainty. Deep Gaussia…
Random Forests on Distance Matrices for Imaging Genetics Studies
Aaron Sim, Dimosthenis Tsagkrasoulis, Giovanni Montana
We propose a non-parametric regression methodology, Random Forests on Distance Matrices (RFDM), for detecting genetic variants associated to quantitative phenotypes representing th…