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Peter Jung

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Jul 2026

Parallel Noising in Neural Markov Logic Networks

A new training and inference algorithm inspired by parallel-tempering Markov chain Monte Carlo methods is developed, which is named parallel noising and allows NMLNs to match the performance of specialized text-based recurrent models when generating small molecular structures.

Peter Jung, Giuseppe Marra, Ondřej Kuželka · 0 citations

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