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Optimal Transport-Guided Conditional Score-Based Diffusion Model (Appendix) Xiang Gu1, Liwei Y ang

Neural Information Processing Systems

We next explain the rationality of the resampling-by-compatibility presented in Sect. We first i) prove Eq. For Assumption (9), L( ฯ€, u, v) is strongly convex as proved in [5]. Eq. (A-19), we have E The codes are in pytorch [7]. The learning rate is 1e-5.




Deductive Verification of Chain-of-Thought Reasoning

Neural Information Processing Systems

To facilitate this procedure, we propose Natural Program, a natural language-based deductive reasoning format. Our approach enables models to generate precise reasoning steps where subsequent steps are more rigorously grounded on prior steps.