3 papers
cs.LG2025
Sig2Model: A Boosting-Driven Model for Updatable Learned Indexes
Alireza Heidari, Amirhossein Ahmad, Wei Zhang +1
Learned Indexes (LIs) represent a paradigm shift from traditional index structures by employing machine learning models to approximate the cumulative distribution function (CDF) of…
cs.LG2025
Globalization for Scalable Short-term Load Forecasting
Amirhossein Ahmadi, Hamidreza Zareipour, Henry Leung
Forecasting load in power transmission networks is essential across various hierarchical levels, from the system level down to individual points of delivery (PoD). While intuitive…
cs.DB2025
DobLIX: A Dual-Objective Learned Index for Log-Structured Merge Trees
Alireza Heidari, Amirhossein Ahmadi, Wei Zhang
In this paper, we introduce DobLIX, a dual-objective learned index specifically designed for Log-Structured Merge(LSM) tree-based key-value stores. Although traditional learned ind…