Visualising COVID-19 Research

no code implementations • 13 May 2020 • Pierre Le Bras, Azimeh Gharavi, David A. Robb, Ana F. Vidal, Stefano Padilla, Mike J. Chantler

In this paper, we develop a novel automated theme-based visualisation method, combining advanced data modelling of large corpora, information mapping and trend analysis, to provide a top-down and bottom-up browsing and search interface for quick discovery of topics and research resources.

Maximum likelihood estimation of regularisation parameters in high-dimensional inverse problems: an empirical Bayesian approach. Part I: Methodology and Experiments

1 code implementation • 26 Nov 2019 • Ana F. Vidal, Valentin De Bortoli, Marcelo Pereyra, Alain Durmus

In this work, we propose a general empirical Bayesian method for setting regularisation parameters in imaging problems that are convex w. r. t.

Methodology Computation 62C12, 65C40, 68U10, 62F15, 65J20, 65C60, 65J22