A diameter criterion tied to a potential function certifies convergence of difference inclusions, enabling discrete proofs for first-order optimization methods with diminishing steps.
lecture notes of EE392o, Stanford University, Autumn Quarter , volume=
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An additive MLP-GNN framework with pretraining on AqSolDB and fine-tuning on BigSolDB2 separates chemical and structural contributions to solubility while achieving competitive accuracy and enabling post-hoc interpretability analyses.
citing papers explorer
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Convergence of difference inclusions via a diameter criterion
A diameter criterion tied to a potential function certifies convergence of difference inclusions, enabling discrete proofs for first-order optimization methods with diminishing steps.
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An Additive MLP-GNN Framework for Characterizing Chemical and Structural Contributions to Aqueous Solubility
An additive MLP-GNN framework with pretraining on AqSolDB and fine-tuning on BigSolDB2 separates chemical and structural contributions to solubility while achieving competitive accuracy and enabling post-hoc interpretability analyses.