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parameter estimation
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Mean and Variance Estimation Complexity in Arbitrary Distributions via Wasserstein Minimization
Analytic estimation of parameters of stochastic volatility diffusion models with exponential-affine characteristic function for currency option pricing
A Simple Approximate Bayesian Inference Neural Surrogate for Stochastic Petri Net Models
Robust Spatiotemporal Epidemic Modeling with Integrated Adaptive Outlier Detection
IMC-PINN-FE: A Physics-Informed Neural Network for Patient-Specific Left Ventricular Finite Element Modeling with Image Motion Consistency and Biomechanical Parameter Estimation
Structural System Identification via Validation and Adaptation
Dynamic Hybrid Modeling: Incremental Identification and Model Predictive Control
Optimal Design of Experiment for Electrochemical Parameter Identification of Li-ion Battery via Deep Reinforcement Learning
Bayesian Inference for Left-Truncated Log-Logistic Distributions for Time-to-event Data Analysis
Modeling Transmission Dynamics of Tuberculosis: Parameter Estimation and Sensitivity Analysis Using Real-World Data
Adjustment for Confounding using Pre-Trained Representations
Improved Image Reconstruction and Diffusion Parameter Estimation Using a Temporal Convolutional Network Model of Gradient Trajectory Errors
DoA Estimation using MUSIC with Range/Doppler Multiplexing for MIMO-OFDM Radar
Imaging at the quantum limit with convolutional neural networks
Joint Angle and Velocity-Estimation for Target Localization in Bistatic mmWave MIMO Radar in the Presence of Clutter
On the performance of multi-fidelity and reduced-dimensional neural emulators for inference of physiologic boundary conditions
Bias and Identifiability in the Bounded Confidence Model
System Identification Using Kolmogorov-Arnold Networks: A Case Study on Buck Converters
Convolutional method for data assimilation An improved method on neuronal electrophysiological data
Simulation-trained conditional normalizing flows for likelihood approximation: a case study in stress regulation kinetics in yeast
Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals
CommSense: A Rapid and Accurate ISAC Paradigm
Double Low-Rank 4D Tensor Decomposition for Circular RIS-Aided mmWave MIMO-NOMA System Channel Estimation in Mobility Scenarios
Standard LSParameter Estimators Ensure Finite Convergence Time for Linear Regression Equations Under an Interval Excitation Assumption
On the Generalization of Data-Assisted Control in port-Hamiltonian Systems (DAC-pH)
On Inverse Problems, Parameter Estimation, and Domain Generalization
ProJo4D: Progressive Joint Optimization for Sparse-View Inverse Physics Estimation
Testing Hypotheses of Covariate Effects on Topics of Discourse
IntLevPy: A Python library to classify and model intermittent and Lévy processes
Hybrid SIS Dynamics for Demand Modeling of Frequently Updated Products
Bi-Level optimization for parameter estimation of differential equations using interpolation
A condensing approach to multiple shooting neural ordinary differential equation
Generator Based Inference (GBI)
A novel sensitivity analysis method for agent-based models stratifies in-silico tumor spheroid simulations
Interturn Fault Detection in IPMSMs: Two Adaptive Observer-based Solutions
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