3 papers
cs.LG2026
ChronoVAE-HOPE: Beyond Attention -- A Next-Generation VAE Foundation Model for Specialized Time Series Classification
José Alberto RodrÃguez, Luis Balderas, Miguel Lastra +2
Time Series Foundation Models (TSFMs) have become a new component of the state-of-the-art in general time series forecasting. However, adapting them to specialized classification t…
cs.LG2026
KairosHope: A Next-Generation Time-Series Foundation Model for Specialized Classification via Dual-Memory Architecture
Luis Balderas, José Alberto RodrÃguez, Miguel Lastra +2
Time Series Foundation Models (TSFMs) have demonstrated notable success in general-purpose forecasting tasks; however, their adaptation to specialized classification problems remai…
cs.LG2026
MoEITS: A Green AI approach for simplifying MoE-LLMs
Luis Balderas, Miguel Lastra, José M. BenÃtez
Large language models are transforming all areas of academia and industry, attracting the attention of researchers, professionals, and the general public. In the trek for more powe…