| Integrating Clinical Knowledge into Concept Bottleneck Models | Jul 9, 2024 | Clinical KnowledgeDecision Making | CodeCode Available | 1 | 5 |
| Interaction-Aware Planning With Deep Inverse Reinforcement Learning for Human-Like Autonomous Driving in Merge Scenarios | Jun 26, 2023 | Autonomous DrivingDecision Making | CodeCode Available | 1 | 5 |
| Interpretable Prototype-based Graph Information Bottleneck | Oct 30, 2023 | Decision MakingPrediction | CodeCode Available | 1 | 5 |
| A Justice-Based Framework for the Analysis of Algorithmic Fairness-Utility Trade-Offs | Jun 6, 2022 | Decision MakingFairness | CodeCode Available | 1 | 5 |
| Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability | Mar 26, 2025 | Age/UnbiasedDecision Making | CodeCode Available | 1 | 5 |
| Interpretable statistical representations of neural population dynamics and geometry | Apr 6, 2023 | BenchmarkingDecision Making | CodeCode Available | 1 | 5 |
| AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence | Feb 19, 2025 | Code GenerationDecision Making | CodeCode Available | 1 | 5 |
| Causal thinking for decision making on Electronic Health Records: why and how | Aug 3, 2023 | Decision Makingvalid | CodeCode Available | 1 | 5 |
| Human-like Planning for Reaching in Cluttered Environments | Feb 28, 2020 | Decision Making | CodeCode Available | 1 | 5 |
| Distributional GFlowNets with Quantile Flows | Feb 11, 2023 | Decision Making | CodeCode Available | 1 | 5 |
