| Bridging the gap: Towards an Expanded Toolkit for AI-driven Decision-Making in the Public Sector | Oct 29, 2023 | counterfactualDecision Making | —Unverified | 0 |
| Intrinsic Gaussian Vector Fields on Manifolds | Oct 28, 2023 | Uncertainty Quantification | CodeCode Available | 0 |
| Function Space Bayesian Pseudocoreset for Bayesian Neural Networks | Oct 27, 2023 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation | Oct 26, 2023 | Bayesian InferenceDecision Making | CodeCode Available | 0 |
| SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process | Oct 25, 2023 | PredictionType prediction | CodeCode Available | 0 |
| Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression | Oct 25, 2023 | regressionsubspace methods | —Unverified | 0 |
| Agreeing to Stop: Reliable Latency-Adaptive Decision Making via Ensembles of Spiking Neural Networks | Oct 25, 2023 | Conformal PredictionDecision Making | —Unverified | 0 |
| Score Matching-based Pseudolikelihood Estimation of Neural Marked Spatio-Temporal Point Process with Uncertainty Quantification | Oct 25, 2023 | Point ProcessesUncertainty Quantification | —Unverified | 0 |
| Distributed Uncertainty Quantification of Kernel Interpolation on Spheres | Oct 25, 2023 | Uncertainty Quantification | —Unverified | 0 |
| Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo | Oct 25, 2023 | QuantizationUncertainty Quantification | CodeCode Available | 0 |
