Abstract: Event-Driven vision sensing is a new way of sensing visual reality in a frame-free manner. This is, the vision sensor (camera) is not capturing a sequence of still frames, as in conventional ...

Abstract: Load forecasting is critical to the task of energy management in power systems, for example, balancing supply and demand and minimizing energy transaction costs. There are many approaches ...

Visual Attention Networks (VANs) leveraging Large Kernel Attention (LKA) have demonstrated remarkable performance in diverse computer vision tasks, often outperforming Vision Transformers (ViTs) in ...

This repository contains the official code for FlashFFTConv, a fast algorithm for computing long depthwise convolutions using the FFT algorithm. FlashFFTConv computes convolutions up to 7.93 times ...

Researchers headed by a team at the Centre for Genomic Regulation, Barcelona Institute of Science and Technology and at the Wellcome Sanger Institute have developed an AI tool that they say has made a ...

This repository has the open source implementation of a new architecture termed STConvS2S. To sum up, our approach (STConvS2S) uses only 3D convolutional neural network (CNN) to tackle the sequence-to ...

In this article on Mamba, we’ll explore how this innovative state-space model (SSM) revolutionizes sequence modeling. Developed by Albert Gu and Tri Dao, Mamba is distinguished for its efficiency in ...