ICLR 2026 - Submissions

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Submissions

Summary Statistics

Quantity AI Content Count Avg Rating
0-10% 1 (100%) 2.00
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%) 2.00
Title Abstract Avg Rating Quantity AI Content Reviews Pangram Dashboard
Invariant and equivariant architectures via learned polarization We present a theoretical framework for constructing invariant and equivariant neural network architectures based on polarization methods from classical invariant theory. Existing approaches to enfor... 2.00 0% See Reviews View AI Dashboard
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