uncertainty quantification

Sketched Lanczos uncertainty score: a low-memory summary of the Fisher information NeurIPS 2024 Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction AAAI 2024 Sparse Bayesian Generative Modeling for Compressive Sensing NeurIPS 2024 Sparse Recovery With Multiple Data Streams: An Adaptive Sequential Testing Approach JMLR 2024 Split Conformal Prediction and Non-Exchangeable Data JMLR 2024 SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models EACL 2024 S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization NeurIPS 2024 Stochastic Neural Simulator for Generalizing Dynamical Systems across Environments IJCAI 2024 Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach IJCAI 2024 Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation EMNLP 2024 Taming False Positives in Out-of-Distribution Detection with Human Feedback AISTATS 2024 The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution AAAI 2024 Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts CVPR 2024 To Believe or Not to Believe Your LLM: Iterative Prompting for Estimating Epistemic Uncertainty NeurIPS 2024 Towards Evidential and Class Separable Open Set Object Detection AAAI 2024 Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction AAAI 2024 Towards Uncertainty-Aware Language Agent ACL 2024 Training Bayesian Neural Networks with Sparse Subspace Variational Inference ICLR 2024 Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST) JMLR 2024 Treeffuser: probabilistic prediction via conditional diffusions with gradient-boosted trees NeurIPS 2024 Trusted Multi-view Learning with Label Noise IJCAI 2024 Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process AISTATS 2024 Two fundamental limits for uncertainty quantification in predictive inference COLT 2024 Typicalness-Aware Learning for Failure Detection NeurIPS 2024 Uncertainty-aware Action Decoupling Transformer for Action Anticipation CVPR 2024