A Comprehensive Comparison of Commercial Wrist- Worn Trackers in a Young Cohort in a Lab- Environment. - Salvatore Tedesco; Marco Sica; Thomas Garbay; John Barton; Brendan O'Flynn (PerCom Workshops, 2018)

Distilling the knowledge in CNN for WCE screening tool. - Thomas Garbay; Orlando Chuquimia; Andréa Pinna 001; Hichem Sahbi; Xavier Dray; Bertrand Granado (DASIP, 2019)

CNN Inference Costs Estimation on Microcontrollers: the EST Primitive-based Model. - Thomas Garbay; Petr Dobiás; Wilfried Dron; Pedro Lusich; Imane Khalis; Andréa Pinna 001; Khalil Hachicha; Bertrand Granado (ICECS, 2021)

Comparative Study of Scheduling a Convolutional Neural Network on Multicore MCU. - Petr Dobiás; Thomas Garbay; Bertrand Granado; Khalil Hachicha; Andréa Pinna 001 (DASIP, 2022)

Accurate Estimation of the CNN Inference Cost for TinyML Devices. - Thomas Garbay; Khalil Hachicha; Petr Dobiás; Wilfried Dron; Pedro Lusich; Imane Khalis; Andrea Pinna 001; Bertrand Granado (SOCC, 2022)

An Empirical Study of Convolutional Neural Network Compressions within Low-Power Devices. - Thomas Garbay; Karim Hocine; Khalil Hachicha; Andrea Pinna 001; Bertrand Granado (ICECS, 2023)

Zip-CNN. - Thomas Garbay (2023)

Algorithms for scheduling CNNs on multicore MCUs at the neuron and layer levels. - Petr Dobiás; Thomas Garbay; Bertrand Granado; Khalil Hachicha; Andrea Pinna 001 (Microprocess. Microsystems, 2024)

ZIP-CNN: Design Space Exploration for CNN Implementation within a MCU. - Thomas Garbay; Khalil Hachicha; Petr Dobiás; Andréa Pinna 001; Karim Hocine; Wilfried Dron; Pedro Lusich; Imane Khalis; Bertrand Granado (ACM Trans. Embed. Comput. Syst., 2025)

Bidirectional Information Flow (BIF) - A Sample Efficient Hierarchical Gaussian Process for Bayesian Optimization. - Juan David Guerra; Thomas Garbay; Guillaume Lajoie; Marco Bonizzato (CoRR, 2025)