uncertainty quantification

Neuron Explanations for Conformal Prediction (Student Abstract) AAAI 2025 On Consistent Bayesian Inference from Synthetic Data JMLR 2025 On Local Posterior Structure in Deep Ensembles AISTATS 2025 On Subjective Uncertainty Quantification and Calibration in Natural Language Generation AISTATS 2025 On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors AISTATS 2025 On the Role of Unobserved Sequences on Sample-based Uncertainty Quantification for LLMs EMNLP 2025 Parametric ρ-Norm Scaling Calibration AAAI 2025 ParZC: Parametric Zero-Cost Proxies for Efficient NAS AAAI 2025 Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning AISTATS 2025 Phases of Uncertainty: Confidence–Calibration Dynamics in Language Model Training EMNLP 2025 POp-GS: Next Best View in 3D-Gaussian Splatting with P-Optimality CVPR 2025 Position: Don’t Use the CLT in LLM Evals With Fewer Than a Few Hundred Datapoints ICML 2025 Position: Uncertainty Quantification Needs Reassessment for Large Language Model Agents ICML 2025 Posterior Inference with Diffusion Models for High-dimensional Black-box Optimization ICML 2025 Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings ACL 2025 Prediction-Centric Uncertainty Quantification via MMD AISTATS 2025 Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function ICLR 2025 Privacy-Preserving Neural Processes for Probabilistic User Modeling UAI 2025 Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models UAI 2025 Probabilistic Inertial Poser (ProbIP): Uncertainty-aware Human Motion Modeling from Sparse Inertial Sensors ICCV 2025 Probing Relative Interaction and Dynamic Calibration in Multi-modal Entity Alignment ACL 2025 Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning ICLR 2025 Quantifying and Narrowing the Unknown: Interactive Text-to-Video Retrieval via Uncertainty Minimization ICCV 2025 Quantifying Uncertainty in Natural Language Explanations of Large Language Models for Question Answering EMNLP 2025 Quantile Regression with Large Language Models for Price Prediction ACL 2025