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| Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics | Jan 22, 2020 | Model Predictive Controlparameter estimation | —Unverified | 0 |
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| Bayesian Parameter Estimation Applied to the Li-ion Battery Single Particle Model with Electrolyte Dynamics | Jan 27, 2020 | parameter estimation | —Unverified | 0 |
| A New Stochastic Approximation Method for Gradient-based Simulated Parameter Estimation | Mar 24, 2025 | Density Estimationparameter estimation | —Unverified | 0 |
| A Dynamical Systems Approach for Convergence of the Bayesian EM Algorithm | Jun 23, 2020 | parameter estimation | —Unverified | 0 |
| Bayesian parameter estimation of miss-specified models | Dec 19, 2018 | parameter estimation | —Unverified | 0 |
| Bayesian surrogate learning in dynamic simulator-based regression problems | Jan 25, 2019 | parameter estimationregression | —Unverified | 0 |
| Component-wise Adaptive Trimming For Robust Mixture Regression | May 23, 2020 | Outlier Detectionparameter estimation | —Unverified | 0 |
| A new algorithm for structural restrictions in Bayesian vector autoregressions | Jun 14, 2022 | Formparameter estimation | —Unverified | 0 |
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| New Algorithms for Discrete-Time Parameter Estimation | Mar 30, 2021 | parameter estimation | —Unverified | 0 |
| An Evolutionary Algorithm with Crossover and Mutation for Model-Based Clustering | Oct 31, 2018 | ClusteringGeneral Classification | —Unverified | 0 |
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| A Crucial Parameter for Rank-Frequency Relation in Natural Languages | Feb 1, 2024 | parameter estimationRelation | —Unverified | 0 |
| Advancing Smart Malnutrition Monitoring: A Multi-Modal Learning Approach for Vital Health Parameter Estimation | Jul 31, 2023 | 3D ClassificationNutrition | —Unverified | 0 |
| An Estimation and Analysis Framework for the Rasch Model | Jun 9, 2018 | Collaborative Filteringparameter estimation | —Unverified | 0 |
| Acquisition-Independent Deep Learning for Quantitative MRI Parameter Estimation using Neural Controlled Differential Equations | Dec 30, 2024 | Deep Learningparameter estimation | —Unverified | 0 |
| A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-box Design Problems | Oct 16, 2021 | Bayesian OptimizationModel Selection | —Unverified | 0 |
| An EM Algorithm for Lebesgue-sampled State-space Continuous-time System Identification | Apr 6, 2023 | parameter estimation | —Unverified | 0 |
| Advances in Temporal Point Processes: Bayesian, Deep, and LLM Approaches | Jan 24, 2025 | parameter estimationPoint Processes | —Unverified | 0 |
| A causal learning approach to in-orbit inertial parameter estimation for multi-payload deployers | Jan 21, 2025 | parameter estimationTime Series | —Unverified | 0 |