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cs.LG2025
Hardware-efficient tractable probabilistic inference for TinyML Neurosymbolic AI applications
Jelin Leslin, Martin Trapp, Martin Andraud
Neurosymbolic AI (NSAI) has recently emerged to mitigate limitations associated with deep learning (DL) models, e.g. quantifying their uncertainty or reason with explicit rules. He…
cs.LG2024
On Hardware-efficient Inference in Probabilistic Circuits
Lingyun Yao, Martin Trapp, Jelin Leslin +4
Probabilistic circuits (PCs) offer a promising avenue to perform embedded reasoning under uncertainty. They support efficient and exact computation of various probabilistic inferen…