302 citations · 1k across the 48 of their papers we have counts for
50 papers
Joint Message Detection and Channel Estimation for Unsourced Random Access in Cell-Free User-Centric Wireless Networks
Burak Çakmak, Eleni Gkiouzepi, Manfred Opper +1
We consider unsourced random access (uRA) in a cell-free (CF) user-centric wireless network, where a large number of potential users compete for a random access slot, while only a…
Analysis of Random Sequential Message Passing Algorithms for Approximate Inference
Burak Çakmak, Yue M. Lu, Manfred Opper
We analyze the dynamics of a random sequential message passing algorithm for approximate inference with large Gaussian latent variable models in a student-teacher scenario. To mode…
Deterministic particle flows for constraining stochastic nonlinear systems
Dimitra Maoutsa, Manfred Opper
Devising optimal interventions for constraining stochastic systems is a challenging endeavour that has to confront the interplay between randomness and nonlinearity. Existing metho…
Deterministic particle flows for constraining SDEs
Dimitra Maoutsa, Manfred Opper
Devising optimal interventions for diffusive systems often requires the solution of the Hamilton-Jacobi-Bellman (HJB) equation, a nonlinear backward partial differential equation (…
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…
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…