IEEE

Follow the Approximate Sparse Leader for No-Regret Online Sparse Linear Approximation

Abstract: We consider the problem of online sparse linear approximation, where a learner sequentially predicts the best sparse linear approximations of an as yet unobserved sequence of measurements in ...
IEEE

Sparse Non-Linear Vector Autoregressive Networks for Multivariate Time Series Anomaly Detection

Abstract: Anomaly detection in multivariate time series (MTS) is crucial in domains such as industrial monitoring, cybersecurity, healthcare, and autonomous driving. Deep learning approaches have ...
GitHub

Mathematics for Machine Learning and Data Science Specialization

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine ...
GitHub

MoBA: Mixture of Block Attention for Long-Context LLMs

Note: MoBA requires continue training of existing models to achieve its acceleration benefits. It is not a drop-in sparse attention solution that can be directly applied to pretrained models without ...
C&EN

Gap-Controlled Infrared Absorption Spectroscopy: A Unique Interface-Sensitive Spectroscopy Based on the Combination of Linear Spectroscopy and Multivariate Curve Resolution

Department of Materials Science and Engineering, School of Materials Science and Chemical Technology, Institute of Science Tokyo, 4259 Nagatsuta-cho, Midori-ku, Yokohama-shi, Kanagawa-ken 226-8502, ...