| 2025 | ISCAS | A 23.5 TOPS/W Depthwise Separable Convolution Accelerator for Event-based Depth Estimation. | Andres Brito, Tomomasa Yamasaki, Ulysse Ranon, Timothe Masquelier, Benoit R. Cottereau, Anh Tuan Do, Bo Wang |
| 2024 | ICLR | Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings. | Ilyass Hammouamri, Ismail Khalfaoui Hassani, Timothe Masquelier |
| 2023 | ICLR | Dilated convolution with learnable spacings. | Ismail Khalfaoui Hassani, Thomas Pellegrini, Timothe Masquelier |
| 2023 | Interspeech | Adapting a ConvNeXt Model to Audio Classification on AudioSet. | Thomas Pellegrini, Ismail Khalfaoui Hassani, Etienne Labb, Timothe Masquelier |
| 2021 | ICASSP | Fast Threshold Optimization for Multi-Label Audio Tagging Using Surrogate Gradient Learning. | Thomas Pellegrini, Timothe Masquelier |
| 2021 | ICCV | Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks. | Wei Fang, Zhaofei Yu, Yanqi Chen, Timothe Masquelier, Tiejun Huang, Yonghong Tian |
| 2017 | ISCAS | Live demonstration: Hardware implementation of convolutional STDP for on-line visual feature learning. | Amirreza Yousefzadeh, Timothe Masquelier, Teresa Serrano-Gotarredona, Bernab Linares-Barranco |
| 2017 | ISCAS | Hardware implementation of convolutional STDP for on-line visual feature learning. | Amirreza Yousefzadeh, Timothe Masquelier, Teresa Serrano-Gotarredona, Bernab Linares-Barranco |
| 2016 | IJCNN | Acquisition of visual features through probabilistic spike-timing-dependent plasticity. | Amirhossein Tavanaei, Timothe Masquelier, Anthony S. Maida |
| 2010 | IJCNN | Learning to recognize objects using waves of spikes and Spike Timing-Dependent Plasticity. | Timothe Masquelier, Simon J. Thorpe |