Recurrent neural networks (RNNs) have been a very popular predictive modelling choice for sequence based applications. Here we consider RNNs for time series forecasting. The proposed distinct ...

Most learning-based speech enhancement pipelines depend on paired clean–noisy recordings, which are expensive or impossible to collect at scale in real-world conditions. Unsupervised routes like ...

Abstract: Surgical tool segmentation is used for detection, tracking and pose estimation of the tools in the vicinity of surgical scenes. It is considered as an essential task in surgical phase ...

DeepEP is a communication library designed for Mixture-of-Experts and expert parallelism, featuring high-throughput, low-latency GPU kernels. It supports low-precision operations and offers optimized ...

I congratulate you for this paper being cited multiple times recently, I am just confused about the basic architecture written in the code, as it was mentioned in the basic form the variables of ...

This paper explains the decoding of an MPEG 1 bitstream with a dual core architecture model. The bit processing unit (BPU) performs bitstream parsing and Huffman decoding, and acts as master for ...