48 citations · 153 across the 35 of their papers we have counts for
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eess.SY2017
Gaussian Process Latent Force Models for Learning and Stochastic Control of Physical Systems
Simo Särkkä, Mauricio A. Álvarez, Neil D. Lawrence
This article is concerned with learning and stochastic control in physical systems which contain unknown input signals. These unknown signals are modeled as Gaussian processes (GP)…
stat.ML2017★ 7 cited
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes
Zhenwen Dai, Mauricio A. Álvarez, Neil D. Lawrence
Often in machine learning, data are collected as a combination of multiple conditions, e.g., the voice recordings of multiple persons, each labeled with an ID. How could we build a…