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. Calibration of the underlying surface parameters for urban flood using latent variables and adjoint equation

    May 3, 2026Yongfu Tian, Shan Ding, Guofeng Su +1Parameter EstimationBayesian Inverse Problems

    School of Safety Science, Tsinghua University, Beijing, 100084, China

  2. Data-Driven, Geometry-Aware Optimal-Transport Calibration of Flavor Tagger

    May 2, 2026Yeonjoon Kim, Un-ki YangModel CalibrationOptimal Transport

    Department of Physics and Astronomy, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea

  3. Conditional Score-Based Modeling of Effective Langevin Dynamics

    Apr 27, 2026Ludovico T. GiorginiLangevin DynamicsModel Calibration

    Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA

  4. A Differentiable Framework for Global Circulation Model Precipitation Bias Correction

    Apr 24, 2026Kamlesh Sawadekar, Seth McGinnis, Peijun Li +2Climate ScienceClimate Modeling

    Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, Pennsylvania · Computational & Information Systems Laboratory, National Center for Atmospheric Research, Boulder, Colorado 80307

  5. Deep Learning for Model Calibration in Simulation of Itaconic Acid Production

    Apr 24, 2026Daria Fokina, Marco Baldan, Constantin Romankiewicz +3Conditional Flow MatchingNonlinear System Identification

    Fraunhofer ITWM, Kaiserslautern, Germany · RPTU Kaiserslautern, Kaiserslautern, Germany

  6. Robust Camera-to-Mocap Calibration and Verification for Large-Scale Multi-Camera Data Capture

    Apr 23, 2026Tianyi Liu, Christopher Twigg, Patrick Grady +3Multi-View GeometryModel Calibration

    Meta

  7. The Sample Complexity of Multicalibration

    Apr 23, 2026Natalie Collina, Jiuyao Lu, Georgy Noarov +1Probability CalibrationSample Complexity

    University of Pennsylvania

  8. Multicalibration for Unbiased Model-Based Prevalence Estimation

    Apr 23, 2026Fridolin Linder, Thomas Leeper, Daniel Haimovich +3Probability CalibrationDistribution Shift

    Meta Platforms Inc. · The London School of Economics and Political Science

  9. A temporal deep learning framework for calibration of low-cost air quality sensors

    Apr 23, 2026Arindam Sengupta, Tony Bush, Ben Marner +2Model Calibration

    1ETSI Aeronáutica y del Espacio, Universidad Politécnica de Madrid, Plaza Cardenal Cisneros, 3, Madrid, 28040, Spain · 2Air Quality Consultants Ltd., 3rd Floor, St. Augustine’s Court, St. Augustine’s Place,2026 Bristol, BS1 4UD, United Kingdom

  10. Generative Flow Networks for Model Adaptation in Digital Twins of Natural Systems

    Apr 22, 2026Pascal Archambault, Houari Sahraoui, Eugene SyrianiSimulation-Based InferenceModel Calibration

    DIRO, Université de Montréal, Quebec, Canada.

  11. Too Sharp, Too Sure: When Calibration Follows Curvature

    Apr 22, 2026Alessandro Morosini, Matea Gjika, Tomaso Poggio +1Model CalibrationNeural Network Training Dynamics

    Massachusetts Institute of Technology, Cambridge, MA, USA.

  12. An Efficient Black-Box Reduction from Online Learning to Multicalibration, and a New Route to ΦΦ-Regret Minimization

    Apr 21, 2026Gabriele Farina, Juan Carlos PerdomoModel CalibrationRegret Minimization

    MIT EECS · New York University

  13. EvoMarket: A High-Fidelity and Scalable Financial Market Simulator

    Apr 20, 2026Muyao Zhong, Zhenhua Yang, Yuxiang Liu +2Quantitative FinanceModel Calibration

    Department of Electronic Information, Harbin Institute of Technology, Harbin, 150001, China · Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China · Zhongguancun Academy, Beijing, 100094, China +1

  14. A Real-Time Bike-Pedestrian Safety System with Wide-Angle Perception and Evaluation Testbed for Urban Intersections

    Apr 18, 2026Mehmet Kerem TurkcanCollision AvoidanceModel Calibration

    Columbia University

  15. Robustifying and Selecting Cohort-Appropriate Prognostic Models under Distributional Shifts

    Apr 16, 2026Dimitris Bertsimas, Carol Gao, Angelos G. Koulouras +1Distribution Shift RobustnessModel Calibration

    Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. · Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. · Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA. +1

  16. Online Regime-aware Calibration for Black-box Social Simulators via Posterior-assisted Evolutionary Dynamic Optimization

    Jan 27, 2026Peng Yang, Zhenhua Yang, Boquan Jiang +3Evolutionary OptimizationBlack-Box Optimization

    Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation, Southern University of Science and Technology, Shenzhen 518055, China · Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China · Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen 518055, China +2

  17. When Models Know When They Do Not Know: Calibration, Cascading, and Cleaning

    Jan 12, 2026Chenjie Hao, Weyl Lu, Yuko Ishiwaka +3Adaptive InferenceConfidence Estimation in Language Models

    University of California, Davis · SoftBank Corp. · Aizip

  18. Calibratable Disambiguation Loss for Multi-Instance Partial-Label Learning

    Dec 19, 2025Wei Tang, Yin-Fang Yang, Weijia Zhang +1Model CalibrationWeakly Supervised Learning

    School of Computer Science and Engineering, Southeast University, Nanjing 210096, China, and the Key Laboratory of Computer Network and Information Integration (Southeast University), MoE, China · School of Computer and Information Sciences, The University of Newcastle, Callaghan, NSW 2308, Australia

  19. Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment

    Nov 9, 2025Donggyu Min, Seongjin Choi, Dong-Kyu KimTraffic Flow EstimationModel Calibration

    Seoul National University · Seoul, 08826 · University of Minnesota +1

  20. Monitoring the calibration of probability forecasts with an application to concept drift detection involving image classification

    Oct 29, 2025Christopher T. Franck, Anne R. Driscoll, Zoe Szajnfarber +1Concept DriftModel Calibration

  21. Navigating the Alignment-Calibration Trade-off: A Pareto-Superior Frontier via Model Merging

    Oct 20, 2025Tiancheng Hu, Benjamin Minixhofer, Nigel CollierLLM AlignmentModel Calibration

    University of Cambridge

  22. Calibrating Biophysical Models for Grape Phenology Prediction via Multi-Task Learning

    Aug 5, 2025William Solow, Sandhya SaisubramanianMulti-Task LearningModel Calibration

    Oregon State University

  23. Improving Mixup Calibration with Wasserstein Distributionally Robust Optimization

    Jun 22, 2025Jiaming Hu, Yeping Jin, Debarghya Mukherjee +1Image Corruption RobustnessData Augmentation

    Department of Mathematics & Statistics Boston University · Department of Electrical and Computer Engineering, Division of Systems Engineering Department of Biomedical Engineering Faculty of Computing & Data Sciences Boston University

  24. Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization

    May 29, 2025Chengli Tan, Yubo Zhou, Haishan Ye +7Sharpness-Aware MinimizationModel Calibration

    Northwestern Polytechnical University · SGIT AI Lab, State Grid Corporation of China · Xi’an Jiaotong University +2

  25. MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration

    Nov 20, 2022Zongyao Lyu, Nolan B. Gutierrez, William J. BeksiProbability CalibrationOpen-Set Recognition

    The University of Texas at Arlington Arlington, TX, USA

  26. How many labelers do you have? A closer look at gold-standard labels

    Jun 24, 2022Chen Cheng, Hilal Asi, John DuchiModel CalibrationNoisy-Label Learning

    Department of Statistics, Stanford University · Department of Electrical Engineering, Stanford University · Departments of Statistics and Electrical Engineering, Stanford University

  27. The C-index illusion: discrimination without calibration in published survival models

    Date pendingRafael da Silva, Danilo AlvaresSurvival AnalysisModel Calibration

    PhD in Applied Data Science Eastern University 1300 Eagle Road, Saint Davids, 19087, Pennsylvania, USA · MRC Biostatistics Unit University of Cambridge Forvie Site, Robinson Way, Cambridge, CB20SR, UK