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Score-Based Generative Models for Molecule Generation
Recent advances in generative models have made exploring design spaces easier for de novo molecule generation.
Know Where To Drop Your Weights: Towards Faster Uncertainty Estimation
Through our experiments, we show a significant reduction in the GFLOPS required to model uncertainty, compared to Monte Carlo DropConnect, with marginal trade-off in performance.
NABU $\mathrm{-}$ Multilingual Graph-based Neural RDF Verbalizer
The RDF-to-text task has recently gained substantial attention due to continuous growth of Linked Data.
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