Model Calibration

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21 papers in the last four weeks, up 91% on the four weeks before. 0.2% of all new papers.

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  1. Align Before You Combine: Reference Space Calibration for Supervision Without Ground Truth

    Oct 7, 2026Jackson Eshbaugh, Jorge SilveyraModel Calibration

    Department of Computer Science Lafayette College Easton, PA, USA

  2. Adjoint-Based Calibration and Optimal Control of Stochastic Multiscale Bioprocess Digital Twins

    Oct 7, 2026Keilung Choy, Wei XieDigital TwinsModel Calibration

    Northeastern University

  3. Careful Judge: Safe and Efficient Human-AI Collaborative Decision Making

    Oct 6, 2026Chenyu Zhang, Rachel Luo, Boyi Li +3Human-AI Decision MakingHuman-in-the-Loop AI

    MIT · NVIDIA · NVIDIA, Stanford University

  4. Neighborhood Smoothing for Calibration

    Oct 6, 2026Idan Horowitz, Avigdor GalModel Calibration

    Faculty of Data and Decision Sciences Technion Haifa, 3200003, IL

  5. High-dimensional online calibration from harmonic weights

    Oct 6, 2026Maxwell Fishelson, Mehryar MohriProbability CalibrationModel Calibration

    Institute for Advanced Study. · Google Research and Courant Institute of Mathematical Sciences, New York.

  6. Sharp Integrality Gaps in Calibration Distance

    Oct 5, 2026Zinan Wang, Xinhao YangProbability CalibrationModel Calibration

    University of Manchester · University of Southern California

  7. Auditing Routing Entropy as an Uncertainty Signal in Attention-Residual Transformers

    Oct 1, 2026Wenhao Liang, Lin Yue, Wei Emma Zhang +3Uncertainty QuantificationModel Calibration

    Adelaide University, Adelaide, Australia

  8. Calibration-risk routing for controlled world-model adaptation

    Oct 1, 2026Yifan Zhang, Liang ZhengWorld Models for RoboticsWorld Models

    Central South University

  9. Benchmarking EMlog Calibration for Autonomous Surface Vehicles

    Sep 30, 2026Samuel Cohen-Salmon, Itzik KleinModel CalibrationRobot State Estimation

    The Hatter Department of Marine Technologies Charney School of Marine Sciences, University of Haifa Haifa, Israel

  10. Signal-Routed Temperature Scaling: Low-Capacity Risk-Conditioned Calibration for Small Validation Budgets

    Sep 30, 2026Wenhao Liang, Liangwei Nathan Zheng, Lin Yue +4Post-Hoc CalibrationModel Calibration

    Adelaide University, Adelaide, Australia

  11. How Much Can Reliability Drift Under a Fixed Confidence Distribution?

    Sep 30, 2026Wenhao Liang, Lin Yue, Wei Emma Zhang +3Distribution Shift RobustnessProbability Calibration

    Adelaide University

  12. SCALE: Synthetic Calibration via Agreement Labeling in Embedding Space

    Sep 30, 2026Wenjun Liu, Saeed HassanpourComputational PathologyPathology Foundation Models

    Department of Computer Science Dartmouth College Hanover, NH, USA · Departments of Biomedical Data Science, Computer Science, and Epidemiology Dartmouth College, Hanover, NH, USA

  13. StatD2GAN: When Calibration Masks Generator Quality in Held-Out Evaluation of Synthetic Weather Sequences

    Sep 27, 2026Mustafa Ozaytac, Ozge Karadag AtasTime Series GenerationModel Calibration

    Department of Statistics, Graduate School of Science and Engineering, Hacettepe University, Ankara, 06800, Turkey · Department of Statistics, Faculty of Science, Hacettepe University, Ankara, 06800, Turkey

  14. Improving Calibration of Black-Box Radiology AI Using Test-Time Augmentation

    Sep 24, 2026Nathan Le, Magdalini Paschali, Arogya Koirala +5Post-Hoc Calibration3D Medical Imaging

    Department of Radiology, Stanford University, Stanford, CA, USA · Department of Biomedical Data Science, Stanford University, Stanford, CA, USA · Department of Anesthesia, Intensive Care Medicine, and Pain Medicine, Medical University of Vienna, Spitalgasse 23, 1090 Vienna, Austria

  15. Few-Shot Calibration for Sim-to-Real Single-Channel Speaker Distance Estimation

    Sep 24, 2026Michael Neri, Archontis Politis, Tuomas VirtanenSim-to-Real TransferSpeech Processing

    Faculty of Information Technology and Communication Sciences, Tampere University, Finland

  16. CORE-STACK+: Meta-Learning for Deep Stacked Generalization

    Sep 22, 2026Noor Islam S. MohammadEnsemble LearningMeta-Learning

    Department of Computer Science Istanbul Technical University Maslak, Istanbul 34469, TR

  17. How to Estimate Whether You Have Found Several Needles in a Haystack: Measuring Calibration in Multi-Label Text Classification

    Sep 22, 2026Sophie Henning, Georg Hofmann, Alexander Schulte +2Multi-Label ClassificationLanguage Model Calibration

    TU Munich · Munich Center for Machine Learning (MCML) · LMU Munich +3

  18. A Practical Guide on Graphical Model Validation

    Sep 22, 2026Mario V. WüthrichProbability CalibrationModel Calibration

    Department of Mathematics, ETH Zurich

  19. PICPIs: Prediction-Interval-Conditional Prediction Intervals

    Sep 21, 2026Xuelin Yang, Baihe Huang, Yilong Hou +2Probability CalibrationConformal Prediction

    University of California, Berkeley · Stanford University · Inria Paris

  20. Testing, not presuming, adequacy: calibrating generative social simulators against emergent network structure

    Sep 21, 2026Tengfei Shao, Chao Li, Xu Wang +1Simulation-Based InferenceComputational Social Science

    Global Education Center, Waseda University, Tokyo, Japan · Department of Industrial and Management Systems Engineering, Waseda University, Tokyo, Japan · School of Informatics, Gunma University, Gunma, Japan

  21. Calibrated RF-Fingerprinting Under Interference With Heterogeneous Transmission Protocols

    Sep 17, 2026Tariq Abdul-Quddoos, Xiangfang Li, Lijun QianWireless CommunicationsModel Calibration

    CREDIT Center and Department of Electrical and Computer Engineering Prairie View A&M University, Texas A&M University System Prairie View, TX 77446, USA

  22. Bridging the Confidence Gap: Temperature Scaling for Calibrating Test-Time Prompt Tuning

    Sep 15, 2026Yuwei Liang, Jian Liang, Dapeng Hu +2Post-Hoc CalibrationTest-Time Adaptation of VLMs

    School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China · NLPR & MAIS, Institute of Automation, Chinese Academy of Sciences, Beijing, China · Independent Researcher

  23. Beyond Noise: Understanding and Overcoming Temperature Effects in Analog DNN Inference

    Sep 14, 2026Niklas Summ, Xiao Wang, Hendrik Borras +2Neural Network RobustnessModel Calibration

    Hardware and Artificial Intelligence Lab, Institute of Computer Engineering, Heidelberg University, Germany

  24. A Ranking Approach for Measuring Calibration

    Sep 14, 2026Anirban Chatterjee, Rina Foygel BarberProbability CalibrationModel Calibration

    Department of Mathematics and Statistics Boston University · Department of Statistics University of Chicago

  25. Agentic TCAD Calibration Workflow for Oxide Semiconductor Transistors

    Sep 10, 2026Gyujun Jeong, Junmo Lee, Sungwon Cho +11Agentic WorkflowsModel Calibration

    School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA

  26. Reliability-Aware Hybrid-K Ensemble Selection for Cervical Cytology Classification: Integrating Discrimination, Calibration, and Selective Prediction

    Sep 10, 2026Nisreen Albzour, Sarah S. LamComputational PathologyEnsemble Learning

    School of Systems Science and Industrial Engineering, Binghamton University, Binghamton, NY 13902, USA

  27. Geometry-Aware Bayesian Parameter-Efficient Fine-Tuning on the Stiefel Manifold via Stein Variational Gradient Descent

    Sep 8, 2026Quang-Duy Tran, Trung Le, Bao Duong +2Stiefel Manifold OptimizationUncertainty Quantification

    Deakin Applied Artificial Intelligence Initiative, Deakin University, Geelong, Australia · Department of Computer Science, Aalto University, Espoo, Finland · Department of Data Science & AI, Monash University, Melbourne, Australia

  28. Contact-Constrained Lower-Limb Joint-Offset Calibration for Humanoid Robots

    Sep 2, 2026Kaixiang Lu, Haiyu Lan, Chunxiao Qiao +5Model CalibrationHumanoid Robotics

    AGIBOT

  29. Integrated Laser Scanning and Image-Based Topology Optimization Techniques for Detection and Quantification of Visible and Subsurface Structural Defects

    Sep 1, 2026Mehrdad Shafiei Dizaji, Devin HarrisPoint Cloud Anomaly DetectionModel Calibration

    Department of Engineering Systems and Environment, University of Virginia, Charlottesville, VA, USA

  30. Let Confidence Change, Not the Prediction: Prediction-Preserving Repair for Post-hoc Calibration

    Sep 1, 2026Daehwan Kim, Haejun Chung, Ikbeom JangPost-Hoc CalibrationProbability Calibration

    Hanyang University, Seoul, Republic of Korea · Hankuk University of Foreign Studies, Yongin, Republic of Korea