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parameter estimation

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Showing 401–450 of 1719 papers

TitleStatusHype
Probabilistic Parameter Estimators and Calibration Metrics for Pose Estimation from Image Features—0
Neural information field filter—0
qMRI Diffuser: Quantitative T1 Mapping of the Brain using a Denoising Diffusion Probabilistic Model—0
Dimension-reduced Reconstruction Map Learning for Parameter Estimation in Likelihood-Free Inference Problems—0
Adaptive State Observers of Linear Time-varying Descriptor Systems: A Parameter Estimation-Based Approach—0
Conduct Parameter Estimation in Homogeneous Goods Markets with Equilibrium Existence and Uniqueness Conditions: The Case of Log-linear Specification—0
RIS-Assisted High Resolution Radar Sensing—0
An integrated perspective of robustness in regression through the lens of the bias-variance trade-offCode0
Parameter Estimation for Generalized Low-Rank Matrix Sensing by Learning on Riemannian Manifolds—0
Positive and Unlabeled Data: Model, Estimation, Inference, and Classification—0
Approximating particle-based clustering dynamics by stochastic PDEs—0
Estimation of spatio-temporal extremes via generative neural networksCode0
Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory—0
Stochastic Approaches to Asset Price AnalysisCode0
A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions—0
Blind Bistatic Radar Parameter Estimation for AFDM Systems in Doubly-Dispersive Channels—0
Extremely Large-Scale Dynamic Metasurface Antennas (XL-DMAs): Near-Field Modeling and Channel Estimation—0
Detection and Multi-Parameter Estimation for NLOS Targets: An IRS-assisted Framework—0
Transport Map Coupling Filter for State-Parameter Estimation—0
Joint State and Parameter Estimation Using the Partial Errors-in-Variables Principle—0
Hydraulic Parameter Estimation for District Heating Based on Laboratory Experiments—0
Adaptive control of reaction-diffusion PDEs via neural operator-approximated gain kernelsCode0
MARS: Multimodal Active Robotic Sensing for Articulated CharacterizationCode0
Directly Handling Missing Data in Linear Discriminant Analysis for Enhancing Classification Accuracy and InterpretabilityCode0
Minimum Reduced-Order Models via Causal Inference—0
Time Series Clustering with General State Space Models via Stochastic Variational InferenceCode0
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges—0
Composite Adaptive Disturbance Rejection in Robotics via Instrumental Variables based DREM—0
Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regression—0
LABOR-LLM: Language-Based Occupational Representations with Large Language Models—0
V2X Sidelink Positioning in FR1: From Ray-Tracing and Channel Estimation to Bayesian Tracking—0
Gridless Parameter Estimation in Partly Calibrated Rectangular Arrays—0
BrowNNe: Brownian Nonlocal Neurons & Activation Functions—0
Adaptive Deep Neural Network-Based Control Barrier Functions—0
Latent Variable Sequence Identification for Cognitive Models with Neural Network EstimatorsCode0
Deep Optimal Experimental Design for Parameter Estimation Problems—0
Proximal Interacting Particle Langevin AlgorithmsCode0
An Approximate Wave-Number Domain Expression for Near-Field XL-array Channel—0
Optimal Low-Depth Quantum Signal-Processing Phase Estimation—0
MV2Cyl: Reconstructing 3D Extrusion Cylinders from Multi-View Images—0
Risk-Aware Value-Oriented Net Demand Forecasting for Virtual Power Plants—0
Joint Channel Estimation and Prediction for Massive MIMO with Frequency Hopping Sounding—0
Parameter Estimation in Quantum Metrology Technique for Time Series Prediction—0
Safety-Driven Battery Charging: A Fisher Information-guided Adaptive MPC with Real-time Parameter Identification—0
The Curse of Beam-Squint in ISAC: Causes, Implications, and Mitigation Strategies—0
Quantum consistent neural/tensor networks for photonic circuits with strongly/weakly entangled states—0
System Identification for Lithium-Ion Batteries with Nonlinear Coupled Electro-Thermal Dynamics via Bayesian Optimization—0
Constrained or Unconstrained? Neural-Network-Based Equation Discovery from DataCode0
Adaptive posterior concentration rates for sparse high-dimensional linear regression with random design and unknown error variance—0
Combining Off-White and Sparse Black Models in Multi-step Physics-based Systems Identification -- EXTENDED VERSION—0
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