Parameter Estimation

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  1. Learning consistent molecular mechanics force fields from first principles

    Oct 6, 2026Berkay Günes, Leif Seute, Jigyasa Nigam +1Parameter EstimationMolecular Dynamics Simulation

  2. Parameter Estimation in Machining Dynamics with Regenerative Delay and Nonsmooth Friction using Physics-Informed Neural Networks

    Oct 5, 2026Meiyazhagan Jaganathan, Vikram Pakrashi, Aasifa RounakDynamical SystemsParameter Estimation

  3. Learning Decision-Stump Thresholds in Context: Dynamics of Softmax Attention

    Oct 5, 2026Hong Ha Le, Jackie Lok, Atsushi Nitanda +1Language Model PretrainingSoftmax Attention

  4. On Parameters of Nonlinear Scalar Dynamics from Video: Invariants, Calibration, and Identifiability

    Sep 30, 2026Wenjie Wang, Yuanyuan Wang, Zixiang Jiang +2Parameter EstimationParameter Identifiability

  5. Hybrid Joint-Selective Optimization: Reduced-Space Levenberg-Marquardt Refinement of Low-Dimensional Parameters of Interest

    Sep 29, 2026Muhammad Luthfi Shahab, Gabriella Alfa Indahsari, Imam Mukhlash +1Parameter EstimationSecond-Order Optimization

  6. Simulation-Based Inference for Plate Reverb System Identification

    Sep 28, 2026Dylan Sechet, Marc Evrard, Matthieu KowalskiParameter EstimationBayesian Inverse Problems

  7. Uncertainty Quantification in Cardiac Model Personalisation from Ultrafast Ultrasound

    Sep 28, 2026Camilla Ferrario, Maelys Venet, Olivier Villemain +1Parameter EstimationUncertainty Quantification

  8. Error Bounds for Statistical Estimators in BTL Model with Parametric Multivariate Utility Functions

    Sep 22, 2026Yicheng Li, Huifu XuParameter EstimationMinimax Estimation

  9. Statistical Gains from Looped Estimation under Parameter Budgets

    Sep 22, 2026Xinyu Tian, Xiaotong ShenParameter EstimationMinimax Estimation

  10. One Intervention per Component is Enough: Towards Identifiability in Linear Stochastic Dynamics from Steady State

    Sep 17, 2026Saber SalehkaleybarParameter EstimationStochastic Differential Equations

  11. Generalised Score Matching on Convex Domains

    Sep 10, 2026Nishanth Shetty, Saisuchith Mahajan, Chandra Sekhar SeelamantulaScore MatchingParameter Estimation

  12. DeSyR: A Decoupled Symbolic Recovery Framework with PINN-Guided Structure Search and Physics-Informed Coefficient Refinement

    Sep 1, 2026Pancheng Niu, Jun Guo, Qiaolin He +2Parameter EstimationPhysics-Informed ML

  13. Variational Parameter Calibration with Physics-Aware Latent-Space Surrogates

    Aug 11, 2026Qiyao Zhou, Xujia Zhu, Pierre Joli +2Neural Surrogate ModelingParameter Estimation

  14. Scalable estimation of VARMA models

    Aug 6, 2026Daniel Paulin, Victor ElviraMultivariate Time Series ForecastingParameter Estimation

  15. Wrong Operator or Blind Design? A Reference-Free Diagnostic for Physics-Informed Coefficient Learning

    Aug 4, 2026Eric FockParameter EstimationParameter Identifiability

  16. Band-Count Dense Modal Estimation with Fixed-Frequency Differentiable Resonator Refinement

    Aug 1, 2026Minhui Lu, Joshua D. ReissParameter Estimation

  17. Simulation-Based Plate-Reverb Parameter Estimation from a Single Impulse Response

    Aug 1, 2026Minhui Lu, Joshua D. ReissParameter Estimation

  18. Simulation-based parameter estimation via a combination of embedded normalizing flows and implied empirical probabilities under moment restrictions

    Jul 27, 2026Getachew K. BefekaduSimulation-Based InferenceParameter Estimation

  19. Simulation-Based Empirical Bayes

    Jul 23, 2026Xinwei Shen, Diana Cai, Cheng Zhang +1Simulation-Based InferenceParameter Estimation

  20. An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning

    Jul 23, 2026Maximilian Dax, Theo Heimel, Gilles LouppeSimulation-Based InferenceParameter Estimation

  21. Black-Box Optimization for Identifying and Inverting Audio Dynamic Range Control Effects

    Jul 22, 2026Haoran Sun, Dominique Fourer, Hichem MaarefParameter Estimation

  22. Program Synthesis for Simulation-Based Inference: Joint Model Selection and Parameter Estimation

    Jul 20, 2026Siddharth Mishra-SharmaSimulation-Based InferenceParameter Estimation

  23. Agentic Calibration of Grey-Box Simulation Models: An LLM-Driven Alternative

    Jul 17, 2026David Gómez-Guillén, Mireia Diaz, Josep Lluis Arcos +1Parameter EstimationBlack-Box Optimization

  24. RTS Smoother-Guided Learning of Physics-Based Neural Differential Models

    Jul 16, 2026Ahmet Demirkaya, Georgios Stratis, Tales Imbiriba +2Dynamical SystemsParameter Estimation

  25. Physically Consistent Parameter Inference: Transparent Machine Learning Emulation in High Energy Physics and Cosmology

    Jul 14, 2026Jorge Alda, Jacobo Asorey, Alejandro Mir +1Parameter EstimationHigh-Energy Physics

  26. NeuroMem-FHP: A Likelihood-Free Deep Learning Framework for Parameter Estimation of Fractional Hawkes Process

    Jul 13, 2026Neha Gupta, Aditya MaheshwariTemporal Point ProcessesParameter Estimation

  27. Representation Learning for Semiparametric Causal Mediation Analysis under No Essential Heterogeneity

    Jul 12, 2026Roberto Faleh, Sofia Morelli, Holger BrandtSemiparametric InferenceParameter Estimation

  28. The Regularization Parameter: Sparse Precision Matrix Estimation

    Jul 7, 2026Aryan Eftekhari, Daniel Sergio Vega, Ernst-Jan Camiel Wit +1Graph Structure LearningParameter Estimation

  29. Decomposition for Bayesian Networks: Local and Parallel Inference

    Jul 6, 2026Pei Heng, Xinyi Hu, Yi SunParameter EstimationBayesian Networks

  30. A Gradient Flow Perspective on Minimum MMD Estimation

    Jul 4, 2026Sophia Seulkee Kang, Louis Sharrock, Xiaoyuan Cheng +2Parameter EstimationMaximum Mean Discrepancy

  31. XMSE-Aware Adaptive Empirical Bayes Estimation

    Jun 25, 2026Minghao Chen, Jiale ZhengParameter EstimationEmpirical Bayes

  32. Learning Dynamical Systems from Multiple Sparse Datasets: A Hierarchical Bayesian Modeling Approach

    Jun 23, 2026Cristian Brugnara, Lea Multerer, Marco Forgione +1Irregular Time-Series ModelingParameter Estimation

  33. The Degeneracy Distillery

    Jun 22, 2026T. Lucas Makinen, Deaglan J. Bartlett, Niall Jeffrey +1Simulation-Based InferenceParameter Estimation

  34. Neural Parameter Calibration for Finite-State Mean Field Games

    Jun 22, 2026Anna C. M. Thöni, Grégoire Lambrecht, Gökçe Dayanıklı +3Parameter EstimationMean Field Games

  35. Dynestyx: A Probabilistic Programming Library for Dynamical Systems

    Jun 15, 2026Daniel Waxman, Dmitry Batenkov, John Feser +4Dynamical SystemsParameter Estimation

  36. MA-SBI: Misspecification-Aware Simulation-Based Inference via Side-Channel Guidance

    Jun 15, 2026Arunkumar V, Manoranjan Gandhudi, Gangadharan G. R. +2Simulation-Based InferenceParameter Estimation

  37. Closing the Approximation Gap in Simulation-free Latent SDEs

    Jun 15, 2026Henry D. Smith, Brian L. Trippe, Scott W. LindermanParameter EstimationStochastic Differential Equations

  38. Multi-Variable Stellar Parameter Estimation Using Residual Multitask Neural Networks

    Jun 11, 2026Bruno Santos Meneses Barreto, Marcio EisencraftParameter EstimationMulti-Task Learning

  39. Zero-Inflated Gaussian Distributions Enable Parameter-Space Sparsity in Estimation-of-Distribution Algorithms

    Jun 11, 2026Andreas Faust, Sven Nitzsche, Juergen BeckerStochastic OptimizationParameter Estimation

  40. Nonlinear Bayesian Estimator for Parameter Learning: A Fixed-Point Characterization

    Jun 8, 2026Sasan Vakili, Daniël Woonings, Pradyumna Paruchuri +1Parameter EstimationBayesian Inference

  41. Error Bounds for a Diffusion Model-Based Drift Estimator

    Jun 1, 2026Ioar Casado-Telletxea, Omar RivasplataParameter EstimationStochastic Differential Equations

  42. Realistic noise synthesis reduces bias and improves tissue microstructure estimation with supervised machine learning

    Jun 1, 2026Bradley G. Karat, Maëliss Jallais, Ali R. Khan +3Parameter EstimationDistribution Shift

  43. Instance-Optimal Estimation with Multiple LLM Judges on a Budget

    May 22, 2026Junghyun Lee, Sanghwa Kim, Yassir Jedra +2Parameter EstimationLLM Evaluation

  44. Archimedean Copula Inference via Taylor-Mode AD

    May 22, 2026Cambridge Yang, Dongdong LiParameter EstimationAutomatic Differentiation

  45. EMMA: Extracting Multiple physical parameters from Multimodal Data

    May 21, 2026Farhat Shaikh, Ayan Banerjee, Sandeep GuptaParameter EstimationLatent Dynamics Modeling

  46. Diffusion-based Denoising Beats Vanilla Score Matching in Parameter Estimation: A Theoretical Explanation

    May 21, 2026Benedikt Lütke Schwienhorst, Nadja Klein, Johannes LedererScore MatchingParameter Estimation

  47. Truncated Neural Likelihood Estimation for Simulation-Based Inference in State-Space Models

    May 20, 2026Kostas Tsampourakis, Víctor ElviraSimulation-Based InferenceParameter Estimation

  48. Variance-Reduced Manifold Sampling via Polynomial-Maximization Density Estimation

    May 19, 2026Serhii ZabolotniiParameter EstimationDensity Estimation

  49. Mixed neural posterior estimation for simulators with discrete and continuous parameters

    May 13, 2026Jan Boelts, Cornelius Schröder, Jonas Beck +3Simulation-Based InferenceParameter Estimation

  50. Exact Stiefel Optimization for Probabilistic PLS: Closed-Form Updates, Error Bounds, and Calibrated Uncertainty

    May 12, 2026Haoran Hu, Xingce WangParameter EstimationLatent Variable Models

  51. Tight Generalization Bounds for Noiseless Inverse Optimization

    May 9, 2026Pouria Fatemi, Hoomaan Maskan, Suvrit Sra +1Parameter EstimationLearning to Optimize