Reducible Uncertainty

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Reliable Uncertainty QuantificationPredictive UncertaintyEpistemic UncertaintyUncertainty-Aware InferenceInput UncertaintiesCalibrated UncertaintyEpistemic Stance

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Period ending 2026-09-14

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Period ending 2026-09-07

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19 papers

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  1. Sliding Sensors: Configurable Confidence in State Estimation for Continuum Robots

    Aug 5, 2026Ella Walsh, Spencer Teetaert, Eric Diller +2Soft RobotsState Estimation

  2. Provable Limits and Certified Deferral for Verbalized Uncertainty in Small Language Models

    Aug 5, 2026Jianru ShenLarge Language Model UncertaintyConfidence Calibration

  3. Estimating Uncertainty from Reasoning: A Large-Scale Study of Multi- and Crosslingual MCQA Performance in LLMs

    Jul 7, 2026Andrea Bacciu, Andrea Alfarano, Saab Mansour +2Large Language Model UncertaintyReducible Uncertainty

  4. Rendering-Aware Bayesian 3D Gaussian Splatting with Native Uncertainty and Adaptive Complexity Control

    Jul 6, 2026Gaoxiang Jia, Vikram Appia, Junzhou Huang +13D Gaussian Splats3D Gaussian

  5. Uncertainty Quality of VGGT: An Analysis on the DTU Benchmark Dataset

    Jun 15, 2026Markus Hillemann, Robert Langendörfer, Steven Landgraf +1Reconstruction QualityCvpr

  6. Heteroskedastic Signals in Budgeted LLM Verification: Structural Heterogeneity Limits Optimization Gains

    Jun 14, 2026Jinlong YangHeterogeneityReducible Uncertainty

  7. SAGE: Answer-Conditioned Uncertainty Targets for Verbal Uncertainty Alignment

    Jun 9, 2026Kaiwen Shi, Zheyuan Zhang, Yanfang YeReducible UncertaintyLarge Language Model Uncertainty

  8. Inverse design of bespoke interatomic potentials via active learning by information-matching

    Jun 6, 2026Yonatan Kurniawan, Logan D. Williams, Amit Samanta +6Interatomic PotentialsMolecular Dynamics

  9. Uncertainty-Aware Budget Allocation for Adaptive Test-Time Reasoning

    May 26, 2026Manh Nguyen, Sunil Gupta, Hung LeLarge Language Model ReasoningToken Budgets

  10. On the Epistemic Uncertainty of Overparametrized Neural Networks

    May 24, 2026David RügamerOver-Parameterized Neural NetworksEpistemic Uncertainty

  11. LLM Agent Based Renewable Energy Forecasting Using Edge and IoT Data A Review of Solar Wind Weather and Grid Aware Decision Support

    May 24, 2026Pavan Manjunath, Thomas PrueferEnergy ForecastingGeomagnetic Storms

  12. Balancing Uncertainty and Diversity of Samples: Leveraging Diversity of Least, High Confidence Samples for Effective Active Learning

    May 21, 2026Vipul Arya, S. H. Shabbeer Basha, Srikrishna U N +2Active LearningUnlabeled Data

  13. Calibration, Uncertainty Communication, and Deployment Readiness in CKD Risk Prediction: A Framework Evaluation Study

    May 20, 2026Michael O. EnioladeChronic Kidney DiseaseClinical Prediction

  14. Heuristic Pathologies and Further Variance Reduction via Uncertainty Propagation in the AIVAT Family of Techniques

    May 14, 2026Juho Kim, Tuomas SandholmVariance ReductionValue Functions

  15. Distributionally Robust Safety Under Arbitrary Uncertainties: A Safety Filtering Approach

    May 13, 2026Daniel M. Cherenson, Haejoon Lee, Taekyung Kim +1Safety FiltersParticle Filters

  16. Agent-BRACE: Decoupling Beliefs from Actions in Long-Horizon Tasks via Verbalized State Uncertainty

    May 12, 2026Joykirat Singh, Zaid Khan, Archiki Prasad +5Long-Horizon AgentsInitial Human Belief Distributions

  17. Flexible Routing via Uncertainty Decomposition

    May 8, 2026Charlotte Peale, Siddartha Devic, Parikshit Gopalan +2One-Shot RoutingUncertainty-Aware Inference

  18. Rethinking Vacuity for OOD Detection in Evidential Deep Learning

    May 7, 2026Claire McNamaraOut-Of-Distribution DetectionDiscrepancy

  19. Verbal Confidence Saturation in 3-9B Open-Weight Instruction-Tuned LLMs: A Pre-Registered Psychometric Validity Screen

    Apr 24, 2026Jon-Paul CacioliConfidence CalibrationVerbalization