Sparsely constrained neural networks for model discovery of PDEs. - Gert-Jan Both; Remy Kusters (CoRR, 2020)

Sparsely Constrained Neural Networks for Model Discovery of PDEs. - Gert-Jan Both; Gijs Vermarien; Remy Kusters (AAAI Spring Symposium: MLPS, 2021)

Fully differentiable model discovery. - Gert-Jan Both; Remy Kusters (CoRR, 2021)

Sparsistent Model Discovery. - Georges Tod; Gert-Jan Both; Remy Kusters (CoRR, 2021)

Discovering PDEs from Multiple Experiments. - Georges Tod; Gert-Jan Both; Remy Kusters (CoRR, 2021)

DeepMoD: Deep learning for model discovery in noisy data. - Gert-Jan Both; Subham Choudhury; Pierre Sens 002; Remy Kusters (J. Comput. Phys., 2021)

Qadence: a differentiable interface for digital-analog programs. - Dominik Seitz; Niklas Heim; João P. Moutinho; Roland Guichard; Vytautas Abramavicius; Aleksander Wennersteen; Gert-Jan Both; Anton Quelle; Caroline de Groot; Gergana V. Velikova; Vincent E. Elfving; Mario Dagrada (CoRR, 2024)

Rocket-crane algorithm for the Feedback Arc Set problem. - David A. Bader; Justin Ellis-Joyce; Gert-Jan Both; Srinivas C. Turaga; Harinarayan Asoori Sriram; Srijith Chinthalapudi; Zhihui Du (Soc. Netw. Anal. Min., 2025)