Investigating Current-Based and Gating Approaches for Accurate and Energy-Efficient Spiking Recurrent Neural Networks. - Manon Dampfhoffer; Thomas Mesquida; Alexandre Valentian; Lorena Anghel (ICANN (3), 2022)

G2N2: Lightweight Event Stream Classification with GRU Graph Neural Networks. - Thomas Mesquida; Manon Dampfhoffer; Thomas Dalgaty; Pascal Vivet; Amos Sironi; Christoph Posch (BMVC, 2023)

Leveraging Sparsity with Spiking Recurrent Neural Networks for Energy-Efficient Keyword Spotting. - Manon Dampfhoffer; Thomas Mesquida; Emmanuel Hardy; Alexandre Valentian; Lorena Anghel (ICASSP, 2023)

Improving the Robustness of Neural Networks to Noisy Multi-Level Non-Volatile Memory-based Synapses. - Manon Dampfhoffer; Joel Minguet Lopez; Thomas Mesquida; Alexandre Valentian; Lorena Anghel (IJCNN, 2023)

1S1R Sub-Threshold Operation in Crossbar Arrays for Neural Networks Hardware Implementation. - Joel Minguet Lopez; Manon Dampfhoffer; Tifenn Hirtzlin; Lucas Reganaz; Laurent Grenouillet; Gabriele Navarro; Mathieu Bernard; Thomas Magis; Catherine Carabasse; Niccolo Castellani; Valentina Meli; Elisa Vianello; et al. (MIXDES, 2023)

Are SNNs Really More Energy-Efficient Than ANNs? an In-Depth Hardware-Aware Study. - Manon Dampfhoffer; Thomas Mesquida; Alexandre Valentian; Lorena Anghel (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Neuromorphic Lip-Reading with Signed Spiking Gated Recurrent Units. - Manon Dampfhoffer; Thomas Mesquida (CVPR Workshops, 2024)

Backpropagation-Based Learning Techniques for Deep Spiking Neural Networks: A Survey. - Manon Dampfhoffer; Thomas Mesquida; Alexandre Valentian; Lorena Anghel (IEEE Trans. Neural Networks Learn. Syst., 2024)

Hardware-Accelerated Event-Graph Neural Networks for Low-Latency Time-Series Classification on SoC FPGA. - Hiroshi Nakano; Krzysztof Blachut; Kamil Jeziorek; Piotr Wzorek; Manon Dampfhoffer; Thomas Mesquida; Hiroaki Nishi; Tomasz Kryjak; Thomas Dalgaty (ARC, 2025)

Graph Neural Network Combining Event Stream and Periodic Aggregation for Low-Latency Event-based Vision. - Manon Dampfhoffer; Thomas Mesquida; Damien Joubert; Thomas Dalgaty; Pascal Vivet; Christoph Posch (CVPR, 2025)

Compact MEOL OxRAM with 14 Conductance Levels for Dense Embedded Inference Computing. - J. Minguet Lopez; Sylvain Barraud; Manon Dampfhoffer; Aurelie Souhaité; T. Dubreuil; J.-M. Pedini; C. Comboroure; A. Gharbi; F. Boulard; C. Castan; A. Lambert; François Andrieu (IRPS, 2025)

Event-based Audio Prediction with Spectro-Temporal Event-Graphs. - Lars Rafeldt; Thomas Mesquida; Hiroshi Nakano; Manon Dampfhoffer; Filippo Moro; Pascal Vivet; Melika Payvand; Thomas Dalgaty (ISCAS, 2025)