ICLR 2026 - Submissions
Submissions
Summary Statistics
| Quantity AI Content | Count | Avg Rating |
|---|---|---|
| 0-10% | 1 (100%) | 3.33 |
| 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%) | 3.33 |
| Title | Abstract | Avg Rating | Quantity AI Content | Reviews | Pangram Dashboard |
|---|---|---|---|---|---|
| Counterfactual Digital Twin: Generating What-If Trajectories with Uncertainty | Answering \textit{what-if} questions is crucial in many decision-making domains, especially in time-sensitive areas such as healthcare, strategy, and policy. Generating counterfactual trajectories req... | 3.33 | 10% | See Reviews | View AI Dashboard |