Learning algorithms for a specific configuration of the quantron. - Simon de Montigny; Richard Labib (IJCNN, 2011)

On the Learning Potential of the Approximated Quantron. - Richard Labib; Simon de Montigny (Int. J. Neural Syst., 2012)

New approximation method for smooth error backpropagation in a quantron network. - Simon de Montigny (Neural Networks, 2014)

On the Analytical Solution of Firing Time for SpikeProp. - Simon de Montigny; Benoît R. Mâsse (Neural Comput., 2016)

Adapting Ensemble Neural Networks to Clinical Prediction in High-Dimensional Settings. - Simon de Montigny; Philippe Broët (Canadian AI, 2020)

ConTempo: A Unified Temporally Contrastive Framework for Temporal Relation Extraction. - Jingcheng Niu; Saifei Liao; Victoria Ng; Simon de Montigny; Gerald Penn (ACL (Findings), 2024)