ICLR 2026 - Submissions

SubmissionsReviews

Submissions

Summary Statistics

Quantity AI Content Count Avg Rating
0-10% 1 (100%) 3.50
10-30% 0 (0%) N/A
30-50% 0 (0%) N/A
50-70% 0 (0%) N/A
70-90% 0 (0%) N/A
90-100% 0 (0%) N/A
Total 1 (100%) 3.50
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
Projected Neural Additive Models as Universal Approximators This article proves that any continuous multi-variable function can be approximated arbitrarily close by a linear combination of single-variable functions of the inputs in a projected space. Using a s... 3.50 0% See Reviews View AI Dashboard
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