Remy Kusters

According to our database, Remy Kusters authored at least 11 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Neural-based classification rule learning for sequential data.

Marine Collery, Philippe Bonnard, François Fages, Remy Kusters

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Differentiable Rule Induction with Learned Relational Features.

Remy Kusters, Yusik Kim, Marine Collery, Christian de Sainte Marie, Shubham Gupta

Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022

Learning Binary Classification Rules for Sequential Data.

Marine Collery, Remy Kusters

Proceedings of the 1st International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2022) co-located with the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI 2022, 2022

2021

DeepMoD: Deep learning for model discovery in noisy data.

Gert-Jan Both, Subham Choudhury, Pierre Sens, Remy Kusters

J. Comput. Phys., 2021

Discovering PDEs from Multiple Experiments.

Georges Tod, Gert-Jan Both, Remy Kusters

CoRR, 2021

Sparsistent Model Discovery.

Georges Tod, Gert-Jan Both, Remy Kusters

CoRR, 2021

Fully differentiable model discovery.

Gert-Jan Both, Remy Kusters

CoRR, 2021

Sparsely Constrained Neural Networks for Model Discovery of PDEs.

Gert-Jan Both, Gijs Vermarien, Remy Kusters

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

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, Patrick Loiseau, Clément Moulin-Frier, Santino Nanini, Daniele Quercia, Michèle Sebag, Françoise Fogelman-Soulié, Sofiane Taleb, Liubov Tupikina, Vaibhav Sahu, Jill-Jênn Vie, Fatima Wehbi

Frontiers Big Data, 2020

Sparsely constrained neural networks for model discovery of PDEs.

Gert-Jan Both, Remy Kusters

CoRR, 2020

2013

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