Online Functional Tensor Decomposition via Continual Learning for Streaming Data Completion
NeurIPSSpotlight2025
TL;DR
Online tensor decompositions are powerful and proven techniques that address the challenges in processing high-velocity streaming tensor data, such as traffic flow and weather system…
Opening excerpt from the authors’ abstract. source
Read the paper
Topics
continual learning
← All NeurIPS 2025 Spotlight papers · Browse the whole archive