A Study on Convolution using Half-Precision Floating-Point Numbers on GPU for Radio Astronomy Deconvolution. - Mickaël Seznec; Nicolas Gac; André Ferrari; François Orieux (SiPS, 2018)

An Efficiency-Driven Approach For Real-Time Optical Flow Processing On Parallel Hardware. - Mickaël Seznec; Nicolas Gac; François Orieux; Alvin Sashala Naik (ICIP, 2020)

From the algorithm to the targets, optimization flow for high performance computing on embedded GPUs. (De l'algorithme à l'implémentation, flot d'optimisations pour le calcul haute performance sur GPU embarqués). - Mickaël Seznec (2021)

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models. - Guangxuan Xiao; Ji Lin 002; Mickaël Seznec; Julien Demouth; Song Han 003 (CoRR, 2022)

Real-time optical flow processing on embedded GPU: an hardware-aware algorithm to implementation strategy. - Mickaël Seznec; Nicolas Gac; François Orieux; Alvin Sashala Naik (J. Real Time Image Process., 2022)

Computing large 2D convolutions on GPU efficiently with the im2tensor algorithm. - Mickaël Seznec; Nicolas Gac; François Orieux; Alvin Sashala Naik (J. Real Time Image Process., 2022)

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models. - Guangxuan Xiao; Ji Lin 002; Mickaël Seznec; Hao Wu; Julien Demouth; Song Han 003 (ICML, 2023)

Magistral. - Abhinav Rastogi; Albert Q. Jiang; Andy Lo; Gabrielle Berrada; Guillaume Lample; Jason Rute; Joep Barmentlo; Karmesh Yadav; Kartik Khandelwal; Khyathi Raghavi Chandu; Léonard Blier; Lucile Saulnier; et al. (CoRR, 2025)

Voxtral. - Alexander H. Liu; Andy Ehrenberg; Andy Lo; Clément Denoix; Corentin Barreau; Guillaume Lample; Jean-Malo Delignon; Khyathi Raghavi Chandu; Patrick von Platen; Pavankumar Reddy Muddireddy; Sanchit Gandhi; Soham Ghosh; et al. (CoRR, 2025)