Uncertainty Quantification

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44 papers in the last four weeks, up 110% on the four weeks before. 0.4% of all new papers.

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  1. Real-time body pose non-verbal communication with a consistency-based reliability measure

    Jun 8, 2026Alina Marcu, Dragos Costea, Cristina Lazar +1Uncertainty QuantificationGesture Recognition

    National University of Science and Technology "Politehnica" Bucharest · "Simion Stoilow" Institute of Mathematics of the Romanian Academy · NORCE Norwegian Research Centre AS

  2. Taming Perception Jitter: Uncertainty-Aware LiDAR Object Detection for Reliable Motion Classification

    Jun 8, 2026Cornelius Schröder, Žygimantas Marcinkus, Markus LienkampLidar-Based 3D Object DetectionUncertainty Quantification

    Institute for Automotive Engineering, Munich Institute of Robotics and Machine Intelligence, School of Engineering and Design, Technical University of Munich

  3. A practical probabilistic framework for deformable image registration uncertainty in radiotherapy dose propagation

    Jun 8, 2026Stefan Heldmann, Sven Kuckertz, Nasim Givehchi +4Uncertainty QuantificationOncology

    Fraunhofer Institute for Digital Medicine MEVIS, Lübeck, Germany · Varian, a Siemens Healthineers company, Dättwil, Switzerland · Icon Group, South Brisbane, QLD, Australia

  4. Data augmented bootstrap: Unifying confidence interval construction by approximate invariance

    Jun 8, 2026Kevin Han HuangConfidence Region EstimationUncertainty Quantification

    Department of Statistics, University of Warwick

  5. Rank Intervals for Leaderboards: A Hierarchical Framework for Model Evaluation

    Jun 7, 2026Bitya Neuhof, Yuval BenjaminiUncertainty Quantification

    Department of Statistics and Data Science The Hebrew University of Jerusalem

  6. Operator learning for the 2D incompressible Navier-Stokes equations: a conformal prediction approach in the data-scarce regime

    Jun 7, 2026Weinan Wang, Bowen Gang, Hao DengUncertainty QuantificationConformal Prediction

    Department of Mathematics, University of Oklahoma, Norman, OK, USA · Department of Statistics and Data Science, School of Management, Fudan University, Shanghai, China

  7. Conformal Prediction for Neural Operators: Distribution-Free Uncertainty Quantification in Physics Simulation

    Jun 7, 2026Michael ChinUncertainty QuantificationPDE Surrogate Modeling

    Independent Researcher

  8. Remember with Confidence: Uncertainty Quantification for Spatio-temporal Memory with Probabilistic Guarantees

    Jun 6, 2026Harry Zhang, Nicolas Gorlo, Luca CarloneMulti-View ConsistencyUncertainty Quantification

    MIT

  9. Stable and Scalable Probabilistic Numerical Solvers for Stiff and High-Dimensional ODEs

    Jun 6, 2026Nathanael BoschDynamical SystemsUncertainty Quantification

    EPFL, Lausanne, Switzerland

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

    Jun 6, 2026Yonatan Kurniawan, Logan D. Williams, Amit Samanta +6Uncertainty QuantificationMachine Learning Interatomic Potentials

    Department of Physics and Astronomy, Brigham Young University, Provo, UT, USA · Department of Physics and Astronomy, Brigham Young University, Provo, UT, USA. · Lawrence Livermore National Laboratory, Livermore, CA, USA +7

  11. Beyond Point Estimates: Benchmarking Uncertainty Quantification Methods on the AION-1 Astronomical Foundation Model

    Jun 5, 2026Karla Tame-Narvaez, Aleksandra Ćiprijanović, Shubhendu TrivediUncertainty QuantificationAI-Assisted Scientific Research

    Scientific Computing Division Fermi National Accelerator Laboratory Batavia, IL 60510 · Department of Astronomy and Astrophysics University of Chicago Chicago, IL 60637 · Fermi National Accelerator Laboratory Batavia, IL 60510 +1

  12. No-Harm Physics-Informed Inverse Learning with Residual-Calibrated Uncertainty

    Jun 5, 2026Ronald KatendeUncertainty QuantificationPhysics-Informed ML

    Department of Mathematics Kabale University Kikungiri Hill, Katuna Road, Kabale, Uganda

  13. Architecture-Adaptive Uncertainty Fusion for Deepfake Detection

    Jun 4, 2026Ritesh Sharma, Mohammad Ghasemigol, Yuichi MotaiUncertainty QuantificationDigital Image Forensics

  14. Are you sure? A Comprehensive and Comprehensible Survey of Uncertainty Quantification in Symbolic Regression

    Jun 4, 2026Julia Reuter, Fabricio Olivetti de FrancaUncertainty QuantificationSymbolic Regression

    Center for Mathematics, Computation and Cognition (CMCC), Federal University of ABC, Brazil

  15. Quantifying Uncertainty In Wide Two-Layer Neural Networks: On The Law Of The Limiting Fluctuation Process

    Jun 4, 2026Arnaud Descours, Arnaud Guillin, Geoffrey Lacour +3Uncertainty QuantificationNeural Network Training Dynamics

    LSAF · LMBP · MaIAGE +1

  16. Uncertainty Aware Functional Behavior Prediction and Material Fatigue Assessment for Circular Factory

    Jun 3, 2026Nehal Afifi, Mehdi Khabou, Victor Mas +5Uncertainty QuantificationPredictive Maintenance

  17. Instance-Level Post Hoc Uncertainty Quantification in Object Detection

    Jun 3, 2026Chongzhe Zhang, Zifan Zeng, Qunli Zhang +2Uncertainty QuantificationAutonomous Driving Perception

    RAMS Lab, Huawei Heisenberg Research Center, Munich, Germany · Technische Universität Berlin, Berlin, Germany · Technische Universität München, Munich, Germany

  18. Smart Picks in the Dark: Towards Efficient RLVR for Reasoning via Tracing Metacognitive Pivots

    Jun 3, 2026Guangcheng Zhu, Shenzhi Yang, Haobo Wang +7Uncertainty QuantificationRL for Language Model Reasoning

    1Zhejiang University · 2Ant Group

  19. Integrating Local and Global Entropy for Uncertainty Quantification in LLMs

    Jun 2, 2026Johanne Medina, Tianyi Zhou, Keivin Isufaj +2Uncertainty QuantificationConfidence Estimation in Language Models

    Qatar Computing Research Institute, HBKU Doha, Qatar · KTH Royal Institute of Technology Stockholm, Sweden

  20. Clustered Self-Assessment: A Simple yet Effective Method for Uncertainty Quantification in Large Language Models

    Jun 2, 2026Qi Cao, Takeshi Kojima, Andrew Gambardella +3LLM EvaluationUncertainty Quantification

    The University of Tokyo, Japan

  21. APIC: Amortized Physics-Informed Calibration using Neural Processes

    Jun 2, 2026Aishwarya Venkataramanan, Sai Karthikeya Vemuri, Joachim DenzlerUncertainty QuantificationAmortized Inference

    Computer Vision Group, Friedrich Schiller University Jena, Germany

  22. FUSE: Quantifying Uncertainty in Vision-Language Models by Bayesian Fusing Epistemic and Aleatoric Uncertainty

    Jun 1, 2026Harry Zhang, Luca CarloneUncertainty Estimation for VLA ModelsVision-Language Models

    Massachusetts Institute of Technology

  23. Scalable Uncertainty Quantification for Extreme Weather Forecasting via Empirical Neural Tangent Kernels

    Jun 1, 2026Jose Marie Antonio Miñoza, Rex Gregor Laylo, Sebastian C. IbañezUncertainty QuantificationIndependent Component Analysis

    Center for AI Research · Department of Education · Makati, Philippines

  24. The Role of Ambiguity in Error Prediction via Uncertainty Quantification

    Jun 1, 2026Ieva Raminta Staliūnaitė, James Bishop, Andreas VlachosUncertainty QuantificationLLM Uncertainty Estimation

    University of Cambridge · The Alan Turing Institute

  25. Uncertainty-Aware Graph Neural Reconstruction of Urban Temperature Fields from Sparse Sensors under Deployment Constraints

    Jun 1, 2026Reda Snaiki, Abdelatif MerabtineGraph Neural NetworksUncertainty Quantification

    Department of Construction Engineering, École de Technologie Supérieure, Université du Québec, Montréal, Québec, Canada

  26. Computation-Aware Kalman Filtering with Model Selection for Neural Dynamics

    May 31, 2026JR Huml, Jonathan Wenger, John P. CunninghamDynamical SystemsBayesian Filtering

    Department of Statistics, Columbia University; Zyphra Technologies · Department of Statistics, Columbia University; Zuckerman Institute

  27. On the Uncertainty Quantification Ability of Tabular Foundation Models

    May 31, 2026Tyler R. Johnson, Kian Ben-Jacob, Nima Negarandeh +2Tabular Foundation ModelsUncertainty Quantification

    Department of Mechanical and Aerospace Engineering, University of California, Irvine · Department of Civil and Environmental Engineering, University of California, Irvine

  28. Parameter-Free and Group Conditional Online Conformal Prediction

    May 29, 2026Beepul Bharti, Ambar Pal, Jacopo Teneggi +1Uncertainty QuantificationGroup-Conditional Conformal Prediction

    1Johns Hopkins University · 2Amazon Responsible AI

  29. Large-scale Uncertainty Quantification for Latent Variable Models Using Subsampling Markov Chain Monte Carlo

    May 29, 2026Xiaoyu Wang, Jonathan H. HugginsMarkov Chain Monte CarloStochastic Gradient Langevin Dynamics

    Department of Mathematics & Statistics, Boston University · Faculty of Computing & Data Sciences, Boston University

  30. Accurate Large-sample Uncertainty Quantification using Stochastic Gradient Markov Chain Monte Carlo

    May 29, 2026Yu Wang, Jie Ding, Jonathan H. HugginsMarkov Chain Monte CarloStochastic Gradient Langevin Dynamics

    Department of Mathematics & Statistics, Boston University · Questrom School of Business, Boston University · Faculty of Computing & Data Sciences, Boston University