Digit somatotopy in the human cerebellum: A 7 T fMRI study. - Wietske van der Zwaag; Remy Kusters; Arthur W. Magill; Rolf Gruetter; Roberto Martuzzi; Olaf Blanke; José P. Marques (NeuroImage, 2013)

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

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities. - Remy Kusters; Dusan Misevic; Hugues Berry; Antoine Cully; Yann Le Cunff; Loic Dandoy; Natalia Díaz Rodríguez; Marion Ficher; Jonathan Grizou; Alice Othmani; Themis Palpanas; Matthieu Komorowski; et al. (Frontiers Big Data, 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)

Learning Binary Classification Rules for Sequential Data. - Marine Collery; Remy Kusters (STRL@IJCAI, 2022)

Differentiable Rule Induction with Learned Relational Features. - Remy Kusters; Yusik Kim; Marine Collery; Christian de Sainte Marie; Shubham Gupta (NeSy, 2022)

Neural-based classification rule learning for sequential data. - Marine Collery; Philippe Bonnard; François Fages; Remy Kusters (ICLR, 2023)