Moreau, Yves

8 publications

CVPR 2024 Atom-Level Optical Chemical Structure Recognition with Limited Supervision Martijn Oldenhof, Edward De Brouwer, Adam Arany, Yves Moreau

AAAI 2023 Industry-Scale Orchestrated Federated Learning for Drug Discovery Martijn Oldenhof, Gergely Ács, Balázs Pejó, Ansgar Schuffenhauer, Nicholas Holway, Noé Sturm, Arne Dieckmann, Oliver Fortmeier, Eric Boniface, Clément Mayer, Arnaud Gohier, Peter Schmidtke, Ritsuya Niwayama, Dieter Kopecky, Lewis H. Mervin, Prakash Chandra Rathi, Lukas Friedrich, András Formanek, Peter Antal, Jordon Rahaman, Adam Zalewski, Wouter Heyndrickx, Ezron Oluoch, Manuel Stößel, Michal Vanco, David Endico, Fabien Gelus, Thaïs de Boisfossé, Adrien Darbier, Ashley Nicollet, Matthieu Blottière, Maria Telenczuk, Van Tien Nguyen, Thibaud Martinez, Camille Boillet, Kelvin Moutet, Alexandre Picosson, Aurélien Gasser, Inal Djafar, Antoine Simon, Adam Arany, Jaak Simm, Yves Moreau, Ola Engkvist, Hugo Ceulemans, Camille Marini, Mathieu Galtier

ICLR 2023 Weakly Supervised Knowledge Transfer with Probabilistic Logical Reasoning for Object Detection Martijn Oldenhof, Adam Arany, Yves Moreau, Edward De Brouwer

ICLR 2022 Topological Graph Neural Networks Max Horn, Edward De Brouwer, Michael Moor, Yves Moreau, Bastian Rieck, Karsten Borgwardt

ICLR 2021 Latent Convergent Cross Mapping Edward De Brouwer, Adam Arany, Jaak Simm, Yves Moreau

ICMLW 2020 Inferring Causal Dependencies Between Chaotic Dynamical Systems from Sporadic Time Series Edward De Brouwer, Adam Arany, Jaak Simm, Yves Moreau

NeurIPS 2019 GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series Edward De Brouwer, Jaak Simm, Adam Arany, Yves Moreau

NeurIPS 1997 Use of a Multi-Layer Perceptron to Predict Malignancy in Ovarian Tumors Herman Verrelst, Yves Moreau, Joos Vandewalle, Dirk Timmerman