| Bayes without Underfitting: Fully Correlated Deep Learning Posteriors via Alternating Projections | Oct 22, 2024 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| Building Conformal Prediction Intervals with Approximate Message Passing | Oct 21, 2024 | BenchmarkingConformal Prediction | CodeCode Available | 0 |
| Semiparametric Bayesian Inference for a Conditional Moment Equality Model | Oct 21, 2024 | Bayesian InferenceUncertainty 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 |
| 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 |
| 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 |
| Debiasing Mini-Batch Quadratics for Applications in Deep Learning | Oct 18, 2024 | Deep LearningUncertainty Quantification | —Unverified | 0 |
| A Statistical Machine Learning Approach for Adapting Reduced-Order Models using Projected Gaussian Process | Oct 18, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Spectral Representations for Accurate Causal Uncertainty Quantification with Gaussian Processes | Oct 18, 2024 | Bayesian OptimisationDecision Making | CodeCode Available | 0 |
| Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning | Oct 18, 2024 | Decision MakingFederated Learning | —Unverified | 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 |
| MultiOrg: A Multi-rater Organoid-detection Dataset | Oct 18, 2024 | Autonomous DrivingDisease Prediction | —Unverified | 0 |
| Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information | Oct 17, 2024 | Conformal PredictionFederated Learning | —Unverified | 0 |
| Artificial Kuramoto Oscillatory Neurons | Oct 17, 2024 | Adversarial RobustnessObject Discovery | CodeCode Available | 2 |
| Arbitrarily-Conditioned Multi-Functional Diffusion for Multi-Physics Emulation | Oct 17, 2024 | DenoisingGaussian Processes | —Unverified | 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 |
| From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning | Oct 17, 2024 | GeophysicsKolmogorov-Arnold Networks | —Unverified | 0 |
| LLM Confidence Evaluation Measures in Zero-Shot CSS Classification | Oct 16, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Cocoon: Robust Multi-Modal Perception with Uncertainty-Aware Sensor Fusion | Oct 16, 2024 | 3D Object DetectionObject | —Unverified | 0 |
| Transfer Learning on Multi-Dimensional Data: A Novel Approach to Neural Network-Based Surrogate Modeling | Oct 16, 2024 | DecoderTransfer Learning | —Unverified | 0 |
| System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline | Oct 15, 2024 | Autonomous DrivingDecision Making | —Unverified | 0 |