34 citations · 42 across the 3 of their papers we have counts for
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cs.LG2024
A Phenomenological AI Foundation Model for Physical Signals
Jaime Lien, Laura I. Galindez Olascoaga, Hasan Dogan +4
The objective of this work is to develop an AI foundation model for physical signals that can generalize across diverse phenomena, domains, applications, and sensing apparatuses. W…
cs.LG2023★ 1 cited
Gated Compression Layers for Efficient Always-On Models
Haiguang Li, Trausti Thormundsson, Ivan Poupyrev +1
Mobile and embedded machine learning developers frequently have to compromise between two inferior on-device deployment strategies: sacrifice accuracy and aggressively shrink their…