| CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data Assimilation | Oct 26, 2024 | Computational EfficiencyDeep Learning | CodeCode Available | 0 |
| GeoFUSE: A High-Efficiency Surrogate Model for Seawater Intrusion Prediction and Uncertainty Reduction | Oct 26, 2024 | Computational EfficiencyUncertainty Quantification | —Unverified | 0 |
| Conformal Prediction for Multimodal Regression | Oct 25, 2024 | Conformal PredictionPrediction | CodeCode Available | 0 |
| Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentation | Oct 24, 2024 | Active LearningImage Segmentation | —Unverified | 0 |
| Neural Network Prediction of Strong Lensing Systems with Domain Adaptation and Uncertainty Quantification | Oct 23, 2024 | Domain AdaptationUncertainty Quantification | CodeCode Available | 0 |
| The Probabilistic Tsetlin Machine: A Novel Approach to Uncertainty Quantification | Oct 23, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Can Uncertainty Quantification Enable Better Learning-based Index Tuning? | Oct 23, 2024 | ManagementUncertainty Quantification | CodeCode Available | 0 |
| Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections | Oct 22, 2024 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| High-Fidelity Transfer of Functional Priors for Wide Bayesian Neural Networks by Learning Activations | Oct 21, 2024 | Decision MakingModel Selection | CodeCode Available | 0 |
| Ablation Studies for Novel Treatment Effect Estimation Models | Oct 21, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Building Conformal Prediction Intervals with Approximate Message Passing | Oct 21, 2024 | BenchmarkingConformal Prediction | CodeCode Available | 0 |
| Learning signals defined on graphs with optimal transport and Gaussian process regression | Oct 21, 2024 | Active LearningDimensionality Reduction | —Unverified | 0 |
| Bayesian Concept Bottleneck Models with LLM Priors | Oct 21, 2024 | Image Classificationtabular-classification | CodeCode Available | 0 |
| Semiparametric Bayesian Inference for a Conditional Moment Equality Model | Oct 21, 2024 | Bayesian InferenceUncertainty Quantification | —Unverified | 0 |
| Conditional Uncertainty Quantification for Tensorized Topological Neural Networks | Oct 20, 2024 | Decision MakingGraph Classification | —Unverified | 0 |
| Conditional Prediction ROC Bands for Graph Classification | Oct 20, 2024 | ClassificationDrug Discovery | CodeCode Available | 0 |
| A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer Detection in Microscopic Blood Sample Using Gated Recurrent Unit and Uncertainty Quantification | Oct 18, 2024 | AllBayesian Optimization | —Unverified | 0 |
| A Statistical Machine Learning Approach for Adapting Reduced-Order Models using Projected Gaussian Process | Oct 18, 2024 | Uncertainty Quantification | —Unverified | 0 |
| MultiOrg: A Multi-rater Organoid-detection Dataset | Oct 18, 2024 | Autonomous DrivingDisease Prediction | —Unverified | 0 |
| Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning | Oct 18, 2024 | Decision MakingFederated Learning | —Unverified | 0 |
| Debiasing Mini-Batch Quadratics for Applications in Deep Learning | Oct 18, 2024 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Spectral Representations for Accurate Causal Uncertainty Quantification with Gaussian Processes | Oct 18, 2024 | Bayesian OptimisationDecision Making | CodeCode Available | 0 |
| Generative Conformal Prediction with Vectorized Non-Conformity Scores | Oct 17, 2024 | Autonomous DrivingConformal Prediction | —Unverified | 0 |
| Supervised Kernel Thinning | Oct 17, 2024 | Computational Efficiencyregression | CodeCode Available | 0 |
| Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation | Oct 17, 2024 | DenoisingGaussian Processes | —Unverified | 0 |