To address the error propagation problem, we identify image fusion as the key point for improvement.

We also present some additional ablation studies.

Proposition 2.5 is a direct consequence of the following lemma (remember that Lemma A.1 (Smooth functions conserved through a given flow.) . Assume that @h () ()=0 for all 2 . Let us first show the direct inclusion. Now let us show the converse inclusion. We recall (cf Example 2.10 and Example 2.11) that linear and Assumption 2.9, which we recall reads as: Theorem 2.14, let us show that (9) holds for standard ML losses.

BERT, and GPT models show GRACE's state-of-the-art performance in making

Despite recent provably guaranteed variants, the empirical performance often remains unsatisfactory.