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parameter estimation

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Showing 551–600 of 1719 papers

TitleStatusHype
Near-Field Integrated Sensing and Communication: Performance Analysis and Beamforming Design—0
Generalized Forgetting Recursive Least Squares: Stability and Robustness Guarantees—0
Structured Low-Rank Tensors for Generalized Linear Models—0
Learning from Topology: Cosmological Parameter Estimation from the Large-scale Structure—0
A State-Space Perspective on Modelling and Inference for Online Skill RatingCode1
FlexDTI: Flexible diffusion gradient encoding scheme-based highly efficient diffusion tensor imaging using deep learning—0
Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance—0
Advancing Smart Malnutrition Monitoring: A Multi-Modal Learning Approach for Vital Health Parameter Estimation—0
Simulation-based Inference for Cardiovascular Models—0
Solution Path of Time-varying Markov Random Fields with Discrete Regularization—0
Beyond Convergence: Identifiability of Machine Learning and Deep Learning Models—0
A Bayesian Programming Approach to Car-following Model Calibration and Validation using Limited Data—0
Amortised Experimental Design and Parameter Estimation for User Models of Pointing—0
Regression-free Blind Image Quality Assessment with Content-Distortion Consistency—0
Overlapping Batch Confidence Intervals on Statistical Functionals Constructed from Time Series: Application to Quantiles, Optimization, and Estimation—0
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine LearningCode1
Rician likelihood loss for quantitative MRI using self-supervised deep learning—0
On Collaboration in Distributed Parameter Estimation with Resource Constraints—0
Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles—0
On IMU preintegration: A nonlinear observer viewpoint and its application—0
On the sample complexity of parameter estimation in logistic regression with normal design—0
Multipath Time-delay Estimation with Impulsive Noise via Bayesian Compressive Sensing—0
Conditional Korhunen-Loéve regression model with Basis Adaptation for high-dimensional problems: uncertainty quantification and inverse modeling—0
Model-based T1, T2* and Proton Density Mapping Using a Bayesian Approach with Parameter Estimation and Complementary Undersampling Patterns—0
A physics-constrained machine learning method for mapping gapless land surface temperature—0
Patch-CNN: Training data-efficient deep learning for high-fidelity diffusion tensor estimation from minimal diffusion protocols—0
A Synthetic Benchmarking Pipeline to Compare Camera Calibration Algorithms—0
Trajectory Poisson multi-Bernoulli mixture filter for traffic monitoring using a drone—0
Faster-Than-Nyquist Symbol-Level Precoding for Wideband Integrated Sensing and Communications—0
Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process RegressionCode0
Hybrid Precoder and Combiner Designs for Decentralized Parameter Estimation in mmWave MIMO Wireless Sensor Networks—0
PEBO-SLAM: Observer design for visual inertial SLAM with convergence guarantees—0
Improving Log-Cumulant Based Estimation of Roughness Information in SAR imageryCode0
Deep Dynamic Epidemiological Modelling for COVID-19 Forecasting in Multi-level Districts—0
Radar Sensing via OTFS Signaling—0
Deep Learning of Dynamical System Parameters from Return Maps as ImagesCode0
Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions—0
Mixed-ADC Based PMCW MIMO Radar Angle-Doppler Imaging—0
Code Optimization and Angle-Doppler Imaging for ST-CDM LFMCW MIMO Radar Systems—0
Multi-Object Manipulation via Object-Centric Neural Scattering Functions—0
Set-based state estimation and fault diagnosis using constrained zonotopes and applications—0
Automating Model Comparison in Factor GraphsCode0
Real-time whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations—0
Complex Isotropic α-Stable-Rician Model for Heterogeneous SAR Images—0
Unpaired Deep Learning for Pharmacokinetic Parameter Estimation from Dynamic Contrast-Enhanced MRI—0
Parameter Estimation in Electrical Distribution Systems with limited Measurements using Regression Methods—0
Switching Autoregressive Low-rank Tensor ModelsCode0
Resilient Distributed Parameter Estimation in Sensor Networks—0
An information field theory approach to Bayesian state and parameter estimation in dynamical systemsCode1
Machine learning enabled experimental design and parameter estimation for ultrafast spin dynamics—0
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