SPARSE: Spiking Architectures towards Realistic Speech Encoding - idiap/sparse. Skip to content. Navigation Menu Toggle navigation. Sign in ... import torch import torch.nn as nn from ...

Abstract: Learning sparse representations for deep networks has drawn considerable research interest in recent years. In this paper, we present a novel framework to learn sparse representations via a ...

Although the use of deep learning algorithms to find effective features for fault diagnosis has somewhat enhanced of fault classification accuracy, the lack of guidelines and the parameters such as ...

The MoT model architecture includes several critical components: Modality-Specific Transformer Layers: These separate transformer encoder layers process each modality independently, allowing the model ...

A sparse convolutional cGAN anomaly detection network is trained with normal activities to predict future TS conditioned on DL memory surface. The generator's architecture is a sparse convolutional ...