Thomas Mesquida

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 15

Top Topics

Top Venues

IEEE Trans. Emerg. Top. Comput. Intell.

Publications

Thomas Dalgaty, Shogo Yamada, Anca Molnos, Eiji Kawasaki, Thomas Mesquida, François Rummens, Tatsuo Shibata, Yukihiro Urakawa, Yukio Terasaki, Tomoyuki Sasaki, Marc Duranton
Scaling-up Memristor Monte Carlo with magnetic domain-wall physics. CoRR (2023)
Thomas Dalgaty, Thomas Mesquida, Damien Joubert, Amos Sironi, Cyrille Soubeyrat, Pascal Vivet, Christoph Posch
The CNN vs. SNN Event-camera Dichotomy and Perspectives For Event-Graph Neural Networks. DATE (2023)
Manon Dampfhoffer, Thomas Mesquida, Emmanuel Hardy, Alexandre Valentian, Lorena Anghel
Leveraging Sparsity with Spiking Recurrent Neural Networks for Energy-Efficient Keyword Spotting. ICASSP (2023)
Manon Dampfhoffer, Joel Minguet Lopez, Thomas Mesquida, Alexandre Valentian, Lorena Anghel
Improving the Robustness of Neural Networks to Noisy Multi-Level Non-Volatile Memory-based Synapses. IJCNN (2023)
Manon Dampfhoffer, Thomas Mesquida, Alexandre Valentian, Lorena Anghel
Are SNNs Really More Energy-Efficient Than ANNs? an In-Depth Hardware-Aware Study. IEEE Trans. Emerg. Top. Comput. Intell. 7 (3) (2023)
Thomas Dalgaty, Thomas Mesquida, Damien Joubert, Amos Sironi, Pascal Vivet, Christoph Posch
HUGNet: Hemi-Spherical Update Graph Neural Network applied to low-latency event-based optical flow. CVPR Workshops (2023)
Thomas Mesquida, Manon Dampfhoffer, Thomas Dalgaty, Pascal Vivet, Amos Sironi, Christoph Posch
G2N2: Lightweight Event Stream Classification with GRU Graph Neural Networks. BMVC (2023)
Manon Dampfhoffer, Thomas Mesquida, Alexandre Valentian, Lorena Anghel
Investigating Current-Based and Gating Approaches for Accurate and Energy-Efficient Spiking Recurrent Neural Networks. ICANN (3) (2022)
Sambit Mohapatra, Thomas Mesquida, Mona Hodaei, Senthil Kumar Yogamani, Heinrich Gotzig, Patrick Mäder
SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving. CoRR (2022)
Sambit Mohapatra, Thomas Mesquida, Mona Hodaei, Senthil Kumar Yogamani, Heinrich Gotzig, Patrick Maeder
SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving. EBCCSP (2022)
Maxence Bouvier, Alexandre Valentian, Thomas Mesquida, François Rummens, Marina Reyboz, Elisa Vianello, Edith Beigné
Spiking Neural Networks Hardware Implementations and Challenges: a Survey. CoRR (2020)
Amir Regev, Alessandro Bricalli, Giuseppe Piccolboni, Alexandre Valentian, Thomas Mesquida, Gabriel Molas, Jean-François Nodin
Fully-Integrated Spiking Neural Network Using SiOx-Based RRAM as Synaptic Device. AICAS (2020)
Maxence Bouvier, Alexandre Valentian, Thomas Mesquida, François Rummens, Marina Reyboz, Elisa Vianello, Edith Beigné
Spiking Neural Networks Hardware Implementations and Challenges: A Survey. ACM J. Emerg. Technol. Comput. Syst. 15 (2) (2019)
Thomas Mesquida, Alexandre Valentian, David Bol, Edith Beigné
Architecture exploration of a fixed point computation unit using precise timing spiking neurons. PATMOS (2017)
Thiago Raupp da Rosa, Thomas Mesquida, Romain Lemaire, Fabien Clermidy
MCAPI-compliant Hardware Buffer Manager mechanism to support communication in multi-core architectures. DATE (2016)