David Luengo
Universidad Politécnica de Madrid(ES)
Publications by Year
Research Areas
Bayesian Methods and Mixture Models, Markov Chains and Monte Carlo Methods, Blind Source Separation Techniques, ECG Monitoring and Analysis, Gaussian Processes and Bayesian Inference
Most-Cited Works
- → Adaptive Importance Sampling: The past, the present, and the future(2017)230 cited
- → Generalized Multiple Importance Sampling(2019)138 cited
- → Linear Latent Force Models Using Gaussian Processes(2013)137 cited
- Latent Force Models(2009)
- → Efficient monte carlo methods for multi-dimensional learning with classifier chains(2013)108 cited
- Efficient Multioutput Gaussian Processes through Variational Inducing Kernels(2010)
- → Layered adaptive importance sampling(2016)105 cited
- → Independent Doubly Adaptive Rejection Metropolis Sampling Within Gibbs Sampling(2015)101 cited
- → Physics-aware Gaussian processes in remote sensing(2018)101 cited
- → Improving population Monte Carlo: Alternative weighting and resampling schemes(2016)92 cited