Thomas Mesquida

23 papers A* 1A 3B 2C 1Misc 1Journal 8Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hardware-accelerated graph neural networks: an alternative approach for neuromorphic event-based audio classification and keyword spotting on SoC FPGA. CoRR Kamil Jeziorek, Piotr Wzorek, Krzysztof Blachut, Hiroshi Nakano, Manon Dampfhoffer, Thomas Mesquida, Hiroaki Nishi, Thomas Dalgaty, Tomasz Kryjak
2025	C	`conf`	Event-based Audio Prediction with Spectro-Temporal Event-Graphs. ISCAS Lars Rafeldt, Thomas Mesquida, Hiroshi Nakano, Manon Dampfhoffer, Filippo Moro, Pascal Vivet, Melika Payvand, Thomas Dalgaty
2025	B	`conf`	Exploring the Trade-Off between Model Complexity and Numerical Precision for Efficient Edge AI Inference. IJCNN Yannick Malot, Thomas Mesquida
2025	A*	`conf`	Graph Neural Network Combining Event Stream and Periodic Aggregation for Low-Latency Event-based Vision. CVPR Manon Dampfhoffer, Thomas Mesquida, Damien Joubert, Thomas Dalgaty, Pascal Vivet, Christoph Posch
2025	—	`conf`	Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA. ARC Hiroshi Nakano, Krzysztof Blachut, Kamil Jeziorek, Piotr Wzorek, Manon Dampfhoffer, Thomas Mesquida, Hiroaki Nishi, Tomasz Kryjak, Thomas Dalgaty
2025	J	`jnl`	Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA. CoRR Hiroshi Nakano, Krzysztof Blachut, Kamil Jeziorek, Piotr Wzorek, Manon Dampfhoffer, Thomas Mesquida, Hiroaki Nishi, Tomasz Kryjak, Thomas Dalgaty
2024	J	`jnl`	Backpropagation-Based Learning Techniques for Deep Spiking Neural Networks: A Survey. IEEE Trans. Neural Networks Learn. Syst. Manon Dampfhoffer, Thomas Mesquida, Alexandre Valentian, Lorena Anghel
2024	—	`conf`	Neuromorphic Lip-Reading with Signed Spiking Gated Recurrent Units. CVPR Workshops Manon Dampfhoffer, Thomas Mesquida
2023	J	`jnl`	Are SNNs Really More Energy-Efficient Than ANNs? an In-Depth Hardware-Aware Study. IEEE Trans. Emerg. Top. Comput. Intell. Manon Dampfhoffer, Thomas Mesquida, Alexandre Valentian, Lorena Anghel
2023	A	`conf`	G2N2: Lightweight Event Stream Classification with GRU Graph Neural Networks. BMVC Thomas Mesquida, Manon Dampfhoffer, Thomas Dalgaty, Pascal Vivet, Amos Sironi, Christoph Posch
2023	—	`conf`	HUGNet: Hemi-Spherical Update Graph Neural Network applied to low-latency event-based optical flow. CVPR Workshops Thomas Dalgaty, Thomas Mesquida, Damien Joubert, Amos Sironi, Pascal Vivet, Christoph Posch
2023	B	`conf`	Improving the Robustness of Neural Networks to Noisy Multi-Level Non-Volatile Memory-based Synapses. IJCNN Manon Dampfhoffer, Joel Minguet Lopez, Thomas Mesquida, Alexandre Valentian, Lorena Anghel
2023	Misc	`conf`	Leveraging Sparsity with Spiking Recurrent Neural Networks for Energy-Efficient Keyword Spotting. ICASSP Manon Dampfhoffer, Thomas Mesquida, Emmanuel Hardy, Alexandre Valentian, Lorena Anghel
2023	J	`jnl`	Scaling-up Memristor Monte Carlo with magnetic domain-wall physics. CoRR Thomas Dalgaty, Shogo Yamada, Anca Molnos, Eiji Kawasaki, Thomas Mesquida, François Rummens, Tatsuo Shibata, Yukihiro Urakawa, Yukio Terasaki, Tomoyuki Sasaki, Marc Duranton
2023	A	`conf`	The CNN vs. SNN Event-camera Dichotomy and Perspectives For Event-Graph Neural Networks. DATE Thomas Dalgaty, Thomas Mesquida, Damien Joubert, Amos Sironi, Cyrille Soubeyrat, Pascal Vivet, Christoph Posch
2022	—	`conf`	Investigating Current-Based and Gating Approaches for Accurate and Energy-Efficient Spiking Recurrent Neural Networks. ICANN (3) Manon Dampfhoffer, Thomas Mesquida, Alexandre Valentian, Lorena Anghel
2022	—	`conf`	SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving. EBCCSP Sambit Mohapatra, Thomas Mesquida, Mona Hodaei, Senthil Kumar Yogamani, Heinrich Gotzig, Patrick Maeder
2022	J	`jnl`	SpikiLi: A Spiking Simulation of LiDAR based Real-time Object Detection for Autonomous Driving. CoRR Sambit Mohapatra, Thomas Mesquida, Mona Hodaei, Senthil Kumar Yogamani, Heinrich Gotzig, Patrick Mäder
2020	—	`conf`	Fully-Integrated Spiking Neural Network Using SiOx-Based RRAM as Synaptic Device. AICAS Amir Regev, Alessandro Bricalli, Giuseppe Piccolboni, Alexandre Valentian, Thomas Mesquida, Gabriel Molas, Jean-François Nodin
2020	J	`jnl`	Spiking Neural Networks Hardware Implementations and Challenges: a Survey. CoRR Maxence Bouvier, Alexandre Valentian, Thomas Mesquida, François Rummens, Marina Reyboz, Elisa Vianello, Edith Beigné
2019	J	`jnl`	Spiking Neural Networks Hardware Implementations and Challenges: A Survey. ACM J. Emerg. Technol. Comput. Syst. Maxence Bouvier, Alexandre Valentian, Thomas Mesquida, François Rummens, Marina Reyboz, Elisa Vianello, Edith Beigné
2017	—	`conf`	Architecture exploration of a fixed point computation unit using precise timing spiking neurons. PATMOS Thomas Mesquida, Alexandre Valentian, David Bol, Edith Beigné
2016	A	`conf`	MCAPI-compliant Hardware Buffer Manager mechanism to support communication in multi-core architectures. DATE Thiago Raupp da Rosa, Thomas Mesquida, Romain Lemaire, Fabien Clermidy