| Scalable Training of Trustworthy and Energy-Efficient Predictive Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN | Jun 12, 2024 | Atomic ForcesEnsemble Learning | —Unverified | 0 |
| Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions | Jun 11, 2024 | Conformal PredictionUncertainty Quantification | —Unverified | 0 |
| Beyond the Norms: Detecting Prediction Errors in Regression Models | Jun 11, 2024 | DiversityPrediction | —Unverified | 0 |
| Neural Visibility Field for Uncertainty-Driven Active Mapping | Jun 11, 2024 | NeRFPosition | —Unverified | 0 |
| Sparse Bayesian Networks: Efficient Uncertainty Quantification in Medical Image Analysis | Jun 11, 2024 | Medical Image AnalysisUncertainty Quantification | —Unverified | 0 |
| A local squared Wasserstein-2 method for efficient reconstruction of models with uncertainty | Jun 10, 2024 | Uncertainty Quantification | —Unverified | 0 |
| Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration | Jun 10, 2024 | Conformal Predictionimbalanced classification | CodeCode Available | 0 |
| Distribution-Free Predictive Inference under Unknown Temporal Drift | Jun 10, 2024 | PredictionUncertainty Quantification | CodeCode Available | 0 |
| On Subjective Uncertainty Quantification and Calibration in Natural Language Generation | Jun 7, 2024 | In-Context LearningMachine Translation | CodeCode Available | 0 |
| Winner-takes-all learners are geometry-aware conditional density estimators | Jun 7, 2024 | AllDensity Estimation | CodeCode Available | 0 |
| Stochastic full waveform inversion with deep generative prior for uncertainty quantification | Jun 7, 2024 | Bayesian InferenceSeismic Imaging | —Unverified | 0 |
| Linearization Turns Neural Operators into Function-Valued Gaussian Processes | Jun 7, 2024 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Linear Opinion Pooling for Uncertainty Quantification on Graphs | Jun 6, 2024 | Node ClassificationUncertainty Quantification | CodeCode Available | 0 |
| Exponentially Stable Projector-based Control of Lagrangian Systems with Gaussian Processes | Jun 5, 2024 | Gaussian ProcessesUncertainty Quantification | —Unverified | 0 |
| Cycles of Thought: Measuring LLM Confidence through Stable Explanations | Jun 5, 2024 | Uncertainty Quantification | —Unverified | 0 |
| CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs | Jun 5, 2024 | ClusteringNatural Language Inference | CodeCode Available | 0 |
| Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise | Jun 5, 2024 | PredictionPrediction Intervals | CodeCode Available | 0 |
| Learning Cellular Network Connection Quality with Conformal | Jun 4, 2024 | Conformal PredictionPrediction | —Unverified | 0 |
| Integrating Physics of the Problem into Data-Driven Methods to Enhance Elastic Full-Waveform Inversion with Uncertainty Quantification | Jun 4, 2024 | Deep LearningProbabilistic Deep Learning | CodeCode Available | 0 |
| Label-wise Aleatoric and Epistemic Uncertainty Quantification | Jun 4, 2024 | Decision MakingUncertainty Quantification | CodeCode Available | 0 |
| Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs | Jun 4, 2024 | Uncertainty Quantification | CodeCode Available | 0 |
| Certifiably Byzantine-Robust Federated Conformal Prediction | Jun 4, 2024 | Conformal PredictionPrediction | CodeCode Available | 0 |
| To Believe or Not to Believe Your LLM | Jun 4, 2024 | Uncertainty Quantification | —Unverified | 0 |
| The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification | Jun 4, 2024 | Dimensionality ReductionUncertainty Quantification | CodeCode Available | 0 |
| A Bayesian Approach to Online Planning | Jun 4, 2024 | Thompson SamplingUncertainty Quantification | CodeCode Available | 1 |