most citedFOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space

8 citations · 8 across the 2 of their papers we have counts for

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cs.LG2024

On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study

Tomoyoshi Kimura, Jinyang Li, Tianshi Wang +9

This paper demonstrates the potential of vibration-based Foundation Models (FMs), pre-trained with unlabeled sensing data, to improve the robustness of run-time inference in (a cla…