Simon Carbonnelle

According to our database, Simon Carbonnelle authored at least 6 papers between 2018 and 2026.

Collaborative distances:

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

2026

Towards Understanding The Winner-Take-Most Behavior Of Neural Network Representations.

Gilles Peiffer, Christophe De Vleeschouwer, Simon Carbonnelle

Proceedings of the 34th European Symposium on Artificial Neural Networks, 2026

2022

Towards understanding deep learning with the natural clustering prior.

Simon Carbonnelle

PhD thesis, 2022

Towards understanding deep learning with the natural clustering prior.

Simon Carbonnelle

CoRR, 2022

2021

Intraclass clustering: an implicit learning ability that regularizes DNNs.

Simon Carbonnelle, Christophe De Vleeschouwer

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Experimental study of the neuron-level mechanisms emerging from backpropagation.

Simon Carbonnelle, Christophe De Vleeschouwer

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

On layer-level control of DNN training and its impact on generalization.

Simon Carbonnelle, Christophe De Vleeschouwer

CoRR, 2018