58 citations · 136 across the 13 of their papers we have counts for
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stat.ML2021★ 1 cited
Adaptive Inducing Points Selection For Gaussian Processes
Théo Galy-Fajou, Manfred Opper
Gaussian Processes (\textbf{GPs}) are flexible non-parametric models with strong probabilistic interpretation. While being a standard choice for performing inference on time series…
stat.ML2021
Nonlinear Hawkes Process with Gaussian Process Self Effects
Noa Malem-Shinitski, Cesar Ojeda, Manfred Opper
Traditionally, Hawkes processes are used to model time--continuous point processes with history dependence. Here we propose an extended model where the self--effects are of both ex…
cond-mat.dis-nn2021★ 5 cited
Exact solution to the random sequential dynamics of a message passing algorithm
Burak Çakmak, Manfred Opper
We analyze the random sequential dynamics of a message passing algorithm for Ising models with random interactions in the large system limit. We derive exact results for the two-ti…