Internet of Wine: A Low-cost Solution for Stock Management Improvement. - Mathieu Acchiardi; Jonathan Kern; Guillaume Ferré (ICECS, 2018)

Improving the Energy-Efficiency of a Kalman Filter Using Unreliable Memories. - Jonathan Kern; Elsa Dupraz; Abdeldjalil Aïssa-El-Bey; François Leduc-Primeau (ICASSP, 2021)

MemSE: Fast MSE Prediction for Noisy Memristor-Based DNN Accelerators. - Jonathan Kern; Sébastien Henwood; Gonçalo Mordido; Elsa Dupraz; Abdeldjalil Aïssa-El-Bey; Yvon Savaria; François Leduc-Primeau (AICAS, 2022)

Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. - Jonathan Kern; Elsa Dupraz; Abdeldjalil Aïssa-El-Bey; Lav R. Varshney; François Leduc-Primeau (Sensors, 2022)

Improving the energy efficiency of signal processing and machine learning algorithms using unreliable memories. (Amélioration de l'efficacité énergétique d'algorithmes de traitement de signal et d'apprentissage automatique à l'aide de mémoires non fiables). - Jonathan Kern (2023)

Uncertainty quantification for fast reconstruction methods using augmented equivariant bootstrap: Application to radio interferometry. - Mostafa Cherif; Tobías I. Liaudat; Jonathan Kern; Christophe Kervazo; Jérôme Bobin (CoRR, 2024)

Fast and Accurate Output Error Estimation for Memristor-Based Deep Neural Networks. - Jonathan Kern; Sébastien Henwood; Gonçalo Mordido; Elsa Dupraz; Abdeldjalil Aïssa-El-Bey; Yvon Savaria; François Leduc-Primeau (IEEE Trans. Signal Process., 2024)