no code implementations • 12 Mar 2024 • Jannes Nys, Gabriel Pescia, Giuseppe Carleo
In all cases, we show clear signatures of many-body correlations in the dynamics not captured by mean-field methods.
1 code implementation • 20 Dec 2021 • Filippo Vicentini, Damian Hofmann, Attila Szabó, Dian Wu, Christopher Roth, Clemens Giuliani, Gabriel Pescia, Jannes Nys, Vladimir Vargas-Calderon, Nikita Astrakhantsev, Giuseppe Carleo
We introduce version 3 of NetKet, the machine learning toolbox for many-body quantum physics.
1 code implementation • 23 Aug 2021 • Jannes Nys, Milan van den Heuvel, Koen Schoors, Bruno Merlevede
Social science studies dealing with control in networks typically resort to heuristics or describing the static control distribution.
no code implementations • 10 May 2021 • Milan van den Heuvel, Jannes Nys
Edge controllability is shown to relax this communication assumption but aims to control the dynamics of the edge states and not the node states, thus answering a fundamentally different question.
1 code implementation • 19 Oct 2020 • Bart Bussmann, Jannes Nys, Steven Latré
We train deep neural networks that extract the (additive) Granger causal influences from the time evolution in multi-variate time series.