
Sequential construction and dimension reduction of Gaussian processes under inequality constraints
Accounting for inequality constraints, such as boundedness, monotonicity...
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Gaussian Process Modulated Cox Processes under Linear Inequality Constraints
Gaussian process (GP) modulated Cox processes are widely used to model p...
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Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC
Adding inequality constraints (e.g. boundedness, monotonicity, convexity...
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Physicallyinspired Gaussian processes for transcriptional regulation in Drosophila melanogaster
The regulatory process in Drosophila melanogaster is thoroughly studied ...
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Maximum likelihood estimation for Gaussian processes under inequality constraints
We consider covariance parameter estimation for a Gaussian process under...
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Finitedimensional Gaussian approximation with linear inequality constraints
Introducing inequality constraints in Gaussian process (GP) models can l...
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Switched latent force models for reverseengineering transcriptional regulation in gene expression data
To survive environmental conditions, cells transcribe their response act...
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Sparse Linear Models applied to Power Quality Disturbance Classification
Power quality (PQ) analysis describes the nonpure electric signals that...
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Andrés F. LópezLopera
verfied profile
My research interests include applied mathematics, machine learning, and computer science topics. More precisely, Gaussian processes, differential equations, and probabilistic models.