An nth-root compression framework for deterministic probabilistic circuits that enables low-precision inference on TinyML hardware, with reported resource and latency savings.
On the robustness and reliability of late multi-modal fusion using probabilistic circuits,
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Hardware-efficient tractable probabilistic inference for TinyML Neurosymbolic AI applications
An nth-root compression framework for deterministic probabilistic circuits that enables low-precision inference on TinyML hardware, with reported resource and latency savings.