Javier Gonz\'alez

Identifiers

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Papers (10)

1. Deep Gaussian Processes for Multi-fidelity Modeling stat.ML · 2019 · author #5
2. Correcting boundary over-exploration deficiencies in Bayesian optimization with virtual derivative sign observations stat.ML · 2017 · author #4
3. Variational Auto-encoded Deep Gaussian Processes cs.LG · 2015 · author #3
4. GLASSES: Relieving The Myopia Of Bayesian Optimisation stat.ML · 2015 · author #1
5. Batch Bayesian Optimization via Local Penalization stat.ML · 2015 · author #1
6. Bayesian Optimization for Synthetic Gene Design stat.ML · 2015 · author #1
7. Level Sets Based Distances for Probability Measures and Ensembles with Applications stat.ME · 2015 · author #3
8. Asymmetric latent semantic indexing for gene expression experiments visualization stat.AP · 2015 · author #1
9. Seebeck Nanoantennas for Infrared Detection and Energy Harvesting Applications cond-mat.mtrl-sci · 2014 · author #9
10. Reproducing kernel Hilbert space based estimation of systems of ordinary differential equations stat.ME · 2013 · author #1

Mentions

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Frequent Coauthors

• Neil D. Lawrence 3 shared papers
• Alberto Mu\~noz 2 shared papers
• Andreas Damianou 2 shared papers
• Gabriel Martos 2 shared papers
• Neil Lawrence 2 shared papers
• Zhenwen Dai 2 shared papers
• Aki Vehtari 1 shared papers
• Alexander Cuadrado 1 shared papers
• David C. James 1 shared papers
• Edgar Briones 1 shared papers
• Eero Siivola 1 shared papers
• Ernst Wit 1 shared papers
• Fran\c{c}ois Montaigne 1 shared papers
• Ivan Vuja\v{c}i\'c 1 shared papers
• Jarno Vanhatalo 1 shared papers
• Javier Alda 1 shared papers
• J. C. Martinez-Anton 1 shared papers
• Joel Briones 1 shared papers
• Joseph Longworth 1 shared papers
• Kurt Cutajar 1 shared papers