ICLR 2026 - Submissions

SubmissionsReviews

Submissions

Quantity AI Content: 0-10%10-30%30-50%50-70%70-90%90-100%All
Avg Rating: 0-11-22-33-44-55-66-77-88-99-10All

Summary Statistics

Quantity AI Content Count Avg Rating
0-10% 0 (0%) N/A
10-30% 1 (100%) 5.00
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%) 5.00
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
SA-ResGS: Self-Augmented Residual 3D Gaussian Splatting for Next Best View Selection We propose Self-Augmented Residual 3D Gaussian Splatting (SA-ResGS), a novel framework for stabilizing uncertainty quantification and enhancing uncertainty-aware supervision in next-best-view selectio... 5.00 28% See Reviews View AI Dashboard
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