Felipe Tobar

Identifiers

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Papers (8)

1. Compositionally-Warped Gaussian Processes stat.ML · 2019 · author #2
2. Low-pass filtering as Bayesian inference stat.ML · 2019 · author #2
3. Bayesian Nonparametric Spectral Estimation stat.ML · 2018 · author #1
4. Learning non-Gaussian Time Series using the Box-Cox Gaussian Process stat.ML · 2018 · author #2
5. Spectral Mixture Kernels for Multi-Output Gaussian Processes stat.ML · 2017 · author #2
6. Recovering Latent Signals from a Mixture of Measurements using a Gaussian Process Prior stat.ML · 2017 · author #1
7. Improving Sparsity in Kernel Adaptive Filters Using a Unit-Norm Dictionary stat.ML · 2017 · author #1
8. Initialising Kernel Adaptive Filters via Probabilistic Inference stat.ML · 2017 · author #3

Mentions

No mention provenance yet.

Frequent Coauthors

• Gonzalo Rios 3 shared papers
• Crist\'obal Silva 1 shared papers
• Cristobal Valenzuela 1 shared papers
• Gabriel Parra 1 shared papers
• Iv\'an Castro 1 shared papers
• Pablo Guerrero 1 shared papers
• Tom\'as Valdivia 1 shared papers