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| Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical Systems | Oct 2, 2024 | Uncertainty QuantificationVariational Inference | CodeCode Available | 0 |
| Thermodynamic Bayesian Inference | Oct 2, 2024 | Bayesian InferenceModel Selection | —Unverified | 0 |
| Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction | Oct 2, 2024 | Autonomous DrivingDecision Making | —Unverified | 0 |
| Uncertainty Quantification with Bayesian Higher Order ReLU KANs | Oct 2, 2024 | Computational EfficiencyKolmogorov-Arnold Networks | CodeCode Available | 0 |
| Decision-Focused Uncertainty Quantification | Oct 2, 2024 | Conformal PredictionDecision Making | CodeCode Available | 0 |
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