Parameter Estimation

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Overview

Parameter estimation uses observed data to infer the unknown settings that govern a model, enabling prediction, scientific explanation, and control. Approaches range from maximum likelihood and Bayesian methods to simulation-based inference, gradient or evolutionary optimization, and physics-informed neural networks that embed known equations. Researchers apply these tools to noisy, incomplete observations in settings such as dynamical systems, medical models, imaging, and scientific simulations, often estimating uncertainty as well as a best-fit value. A central challenge is that good predictions do not guarantee that parameters are uniquely or accurately identified, especially with sparse data, model mismatch, or costly simulations.

Latest papers

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144 papers20 papers in the last four weeks, up 67% on the four weeks before. 0.1% of all new papers.

  1. Enhancing the Parameterization of Reservoir Properties for Data Assimilation Using Deep VAE-GAN

    Mar 19, 2026M. A. Sampaio, P. H. Ranazzi, M. J. BluntData AssimilationParameter Estimation

    Departamento de Engenharia de Minas e de Petróleo, Escola Politécnica, Universidade de São Paulo, 05508-030, SP, Brasil. · Department of Earth Science and Engineering, Imperial College London, South Kensington, London, UK

  2. INSTRUMENTAL: Automatic Synthesizer Parameter Recovery from Audio via Evolutionary Optimization

    Mar 16, 2026Philipp BogdanParameter EstimationEvolutionary Optimization

  3. UNICORN: Ultrasound Nakagami Imaging via Score Matching and Adaptation for Assessing Hepatic Steatosis

    Mar 16, 2026Kwanyoung Kim, Jaa-Yeon Lee, Youngjun Ko +2Ultrasound ImagingParameter Estimation

    Department of AI Convergence, GIST · Kim Jae Chul Graduate School of AI, KAIST · Samsung Medison

  4. Inverse Neural Operator for ODE Parameter Optimization

    Mar 12, 2026Zhi-Song Liu, Wenqing Peng, Helmi Toropainen +5Parameter EstimationOrdinary Differential Equations

    Department of Computational Engineering, Lappeenranta-Lahti University of Technology, Lahti, Finland · Atmospheric Modelling Center Lahti (AMC-Lahti), Finland · University of Helsinki, Helsinki, Finland +3

  5. First Estimation of Model Parameters for Neutrino-Induced Nucleon Knockout Using Simulation-Based Inference

    Mar 10, 2026Karla Tame-Narvaez, Steven Gardiner, Aleksandra Ćiprijanović +1Parameter EstimationModel Calibration

    Fermi National Accelerator Laboratory, Batavia, Illinois 60510 USA · Department of Astronomy and Astrophysics, University of Chicago, Chicago, IL 60637 · NSF-Simons AI Institute for the Sky (SkAI), 172 E. Chestnut St., Chicago, IL 60611

  6. PDE foundation model-accelerated inverse estimation of system parameters in inertial confinement fusion

    Mar 4, 2026Mahindra Rautela, Alexander Scheinker, Bradley Love +4PDE Foundation ModelsParameter Estimation

    AOT-IC Group, Los Alamos National Laboratory, Los Alamos, NM, USA · CAI Division, Los Alamos National Laboratory, Los Alamos, NM, USA · HPC Division, Los Alamos National Laboratory, Los Alamos, NM, USA

  7. Learning-Augmented Moment Estimation on Time-Decay Models

    Mar 3, 2026Soham Nagawanshi, Shalini Panthangi, Chen Wang +2Learning-Augmented AlgorithmsStreaming Algorithms

    Texas A&M University · Carnegie Mellon University · Rensselaer Polytechnic Institute

  8. Learning graph topology from metapopulation epidemic encoder-decoder

    Mar 2, 2026Xin Li, Jonathan Cohen, Shai Pilosof +1Graph Structure LearningSpatial Epidemic Modeling

    Faculty of Computer and Information Science, Ben-Gurion University of the Negev, Be’er Sheva, South District, Israel · Department of Life Sciences, Ben-Gurion University of the Negev, Be’er Sheva, South District, Israel · The Goldman Sonnenfeldt School of Sustainability and Climate Change, Ben-Gurion University of the Negev, Be’er Sheva, South District, Israel

  9. Resolving Blind Inverse Problems under Dynamic Range Compression via Structured Forward Operator Modeling

    Mar 2, 2026Muyu Liu, Xuanyu Tian, Chenhe Du +3Image Inverse ProblemsHDR Imaging

    ShanghaiTech University · Shanghai Jiao Tong University

  10. Robust Parameter and State Estimation in Multiscale Neuronal Systems Using Physics-Informed Neural Networks

    Feb 27, 2026Changliang Wei, Yangyang Wang, Xueyu ZhuParameter EstimationPhysics-Informed ML

    Department of Mathematics, University of Iowa, Iowa City, IA 52246, USA. · Department of Mathematics, Volen National Center for Complex Systems, Brandeis University, Waltham, MA 02453, USA.

  11. PINEAPPLE: Physics-Informed Neuro-Evolution Algorithm for Prognostic Parameter Inference in Lithium-Ion Battery Electrodes

    Feb 20, 2026Karkulali Pugalenthi, Jian Cheng Wong, Qizheng Yang +4Parameter EstimationLithium-Ion Batteries

    Singapore Institute of Manufacturing Technology, Agency for Science, Technology and Research, 5 Cleantech Loop, Singapore, 636732, Singapore · Institute of High Performance Computing, Agency for Science, Technology and Research, 1 Fusionopolis Way, Singapore, 138632, Singapore · Department of Mathematics, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, China +3

  12. Neural Prior Estimation: Learning Class Priors from Latent Representations

    Feb 19, 2026Masoud Yavari, Payman MoallemLogit AdjustmentClass-Imbalanced Learning

    Independent Researcher Isfahan, Iran · Department of Electrical Engineering Faculty of Engineering University of Isfahan, Iran

  13. Estimation of instrument and noise parameters for inverse problem based on prior diffusion model

    Feb 12, 2026Jean-François GiovannelliParameter EstimationBayesian Inverse Problems

    Groupe Signal-Image, IMS (Univ. Bordeaux, CNRS, BINP), Talence, France

  14. It's all In the (Exponential) Family: An Equivalence between Maximum Likelihood Estimation and Control Variates for Sketching Algorithms

    Jan 29, 2026Keegan Kang, Kerong Wang, Ding Zhang +3Parameter EstimationExponential Family

    Department of Mathematics and Statistics, Bucknell University, USA · School of Data Science, University of Virginia, USA · Department of CSE, IIT Hyderabad, India +2

  15. JADAI: Jointly Amortizing Adaptive Design and Bayesian Inference

    Dec 28, 2025Niels Bracher, Lars Kühmichel, Desi R. Ivanova +3Parameter EstimationAmortized Inference

    1Rensselaer Polytechnic Institute, USA · 2TU Dortmund University, Germany · University of Oxford, UK.

  16. Diffusion Models in Simulation-Based Inference: A Tutorial Review

    Dec 22, 2025Jonas Arruda, Niels Bracher, Ullrich Köthe +2Simulation-Based InferenceParameter Estimation

    Bonn Center for Mathematical Life Sciences, Life & Medical Sciences Institute, University of Bonn, Germany · Center for Modeling, Simulation, & Imaging in Medicine (CeMSIM), Rensselaer Polytechnic Institute, NY, USA · Computer Vision and Learning Lab, Heidelberg University, Germany

  17. Symmetric Linear Dynamical Systems are Learnable from Few Observations

    Dec 5, 2025Minh Vu, Andrey Y. Lokhov, Marc VuffrayDynamical SystemsParameter Estimation

    Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA

  18. Learning Projection-Aware 360-Degree Image Rectification via Dual-Projection Fusion

    Nov 30, 2025Yuhao Shan, Qianyi Yuan, Jingguo Liu +3Parameter Estimation

    college of electronic and information engineering, Southwest University, Chongqing 400700, China

  19. Learning Latent Energy-Based Models via Interacting Particle Langevin Dynamics

    Oct 14, 2025Joanna Marks, Tim Y. J. Wang, O. Deniz AkyildizParameter EstimationLatent Variable Models

    Department of Mathematics, Imperial College London

  20. Uniform-in-time convergence bounds for Persistent Contrastive Divergence algorithms

    Oct 2, 2025Paul Felix Valsecchi Oliva, O. Deniz Akyildiz, Andrew DuncanParameter EstimationStochastic Approximation

    Department of Mathematics, Imperial College London

  21. Data-driven multi-agent modelling of calcium interactions in cell culture: PINN vs Regularized Least-squares

    May 23, 2025Aurora Poggi, Giuseppe Alessio D'Inverno, Hjalmar Brismar +3Nonlinear System IdentificationParameter Estimation

    KTH Royal Institute of Technology, Department of Mathematics, Stockholm, Sweden · International School for Advanced Studies (SISSA), Trieste, Italy · KTH Royal Institute of Technology, Department of Biophysics, Stockholm, Sweden +1

  22. Statistical Inference for Policy Evaluation with Temporal Difference Learning

    Oct 21, 2024Weichen Wu, Gen Li, Yuting Wei +1Parameter EstimationConfidence Region Estimation

    The Voleon Group, New York, NY, USA · Department of Statistics, The Chinese University of Hong Kong, Hong Kong SAR. · Department of Statistics and Data Science, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA. +1

  23. FastManly: An EM-Gradient Algorithm for Manly Mixture Models

    Oct 1, 2024Katharine M. Clark, Paul D. McNicholasParameter EstimationExpectation-Maximization

    Department of Mathematics & Statistics, Trent University, Ontario, Canada. · Department of Mathematics & Statistics, McMaster University, Ontario, Canada.

  24. A Deep Learning Framework for TTV Characterization: A Case Study of the Kepler-88 System

    Sep 6, 2024Chen Chen, Jiapeng Gao, Gongjie Li +2Parameter EstimationAstrophysics

    School of Earth and Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA · Center for Relativistic Astrophysics, School of Physics, Georgia Institute of Technology, Atlanta, GA 30332, USA · School of Mathematics, Georgia Institute of Technology, Atlanta, GA, 30332, USA +1