GitHub

Is Mamba Effective for Time Series Forecasting?

We propose S-Mamba, a Mamba-based model for time series forecasting, which delegates the extraction of inter-variate correlations and temporal dependencies to a bidirectional Mamba block and a ...
GitHub

Time Series Foundation Model - TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

The official code for ["TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting (ICLR 2024)"]. TEMPO is one of the very first open source Time Series Foundation Models for ...
IEEE

Code-Switching ASR for Low-Resource Indic Languages: A Hindi-Marathi Case Study

Abstract: This work examines the development of Automatic Speech Recognition (ASR) systems for low-resource languages, focusing on Hindi and Marathi, particularly in multilingual and code-switching ...
IEEE

Tutorial: Fundamentals of Continuous-Time ADCs

Abstract: This tutorial provides a comprehensive overview of continuous-time analog-to-digital converters (ADCs), with a focus on the principles and architectures behind these devices. We start with ...