Timothée Masquelier

7 papers · 2021–2024 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🐣 Hot Topic Early Bird

Venues

NeurIPS (3) ICLR (2) ICCV (1) Interspeech (1)

Top co-authors

Wei Fang (4) Zhaofei Yu (4) Yonghong Tian (3) Tiejun Huang (3) Yanqi Chen (3) Ismail Khalfaoui-Hassani (2) Thomas Pellegrini (2) Yaoyu Zhu (1) Xiaodong Xie (1) Ilyass Hammouamri (1)

Research topics

Deep Learning (7) Architectures (7) Machine Learning (4) Techniques (3) Application Areas (2) Learning Types · Deep Learning (2) Learning Types · Machine Learning (1) Optimization & Theory (1)

Keywords

spiking neural network (4) convolutional neural network (2) neuromorphic computing (2) dilated convolution (2) image classification (2) temporal learning (1) audio classification (1) leaky integrate-and-fire neurons (1) receptive field (1) gradient vanishing (1) temporal pattern (1) sequence processing (1) residual learning (1) convolution kernel (1) depthwise separable convolution (1) gradient-based learning (1) long-term dependencies (1) leaky integrate-and-fire (1) event-driven learning (1) spike-element-wise resnet (1)

Papers

Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings ICLR 2024 Adapting a ConvNeXt Model to Audio Classification on AudioSet Interspeech 2023 Dilated convolution with learnable spacings ICLR 2023 Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies NeurIPS 2023 Training Spiking Neural Networks with Event-driven Backpropagation NeurIPS 2022 Deep Residual Learning in Spiking Neural Networks NeurIPS 2021 Incorporating Learnable Membrane Time Constant To Enhance Learning of Spiking Neural Networks ICCV 2021