Alexis Boukouvalas
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it; #34,579 of 35,345 by trust here, #15,236 by citations
- Computational Theory and Mathematics — 7 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it; #1,499 of 1,525 by trust here, #751 by citations
Whom Alexis Boukouvalas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Alexis Boukouvalas overall
Papers from Alexis Boukouvalas's perspective
Ordered by how strongly the researchers Alexis Boukouvalas trusts endorse each paper. Same corpus, a different order for every researcher.
- MCMC Using Hamiltonian Dynamics
- Variational Learning of Inducing Variables in Sparse Gaussian Processes
- The Variational Gaussian Approximation Revisited
- Scalable Variational Gaussian Process Classification
- Gaussian Processes for Big Data
- Differentiation of the Cholesky decomposition
- Fast Direct Methods for Gaussian Processes
- MCMC for Variationally Sparse Gaussian Processes
- On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes
- Learning Multiple Layers of Features from Tiny Images
Their papers
- GPflow: A Gaussian Process Library using TensorFlow (2016) — 750 citations