ICLR 2026 - Submissions
Submissions
Summary Statistics
| Quantity AI Content | Count | Avg Rating |
|---|---|---|
| 0-10% | 0 (0%) | N/A |
| 10-30% | 0 (0%) | N/A |
| 30-50% | 0 (0%) | N/A |
| 50-70% | 0 (0%) | N/A |
| 70-90% | 1 (100%) | 2.50 |
| 90-100% | 0 (0%) | N/A |
| Total | 1 (100%) | 2.50 |
| Title | Abstract | Avg Rating | Quantity AI Content | Reviews | Pangram Dashboard |
|---|---|---|---|---|---|
| VidEEG-Gen: A Dataset and Diffusion Framework for Video-Conditioned Privacy-Preserving EEG Generation | Recent advancements in multimodal learning have revolutionized text, video, and audio processing, yet Electroencephalography (EEG) research lags due to data scarcity from specialized equipment and pri... | 2.50 | 87% | See Reviews | View AI Dashboard |