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parameter estimation

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Showing 651–700 of 1719 papers

TitleStatusHype
Lower Bounds on the Bayesian Risk via Information Measures—0
Experimental Validation of Single BS 5G mmWave Positioning and Mapping for Intelligent Transport—0
Distributed Parameter Estimation under Gaussian Observation Noises—0
Decentralized Online Learning for Random Inverse Problems Over Graphs—0
An ADMM approach for multi-response regression with overlapping groups and interaction effects—0
PyVBMC: Efficient Bayesian inference in PythonCode1
Blind Acoustic Room Parameter Estimation Using Phase Features—0
Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning—0
Variational Gaussian filtering via Wasserstein gradient flowsCode0
Resolving quantitative MRI model degeneracy with machine learning via training data distribution design—0
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification—0
Fast Cauchy-Rician Modelling of SAR Images with Method of Algebraic Moments Estimator—0
Modular Adaptive Safety-Critical Control—0
Kernel-based Regularized Iterative Learning Control of Repetitive Linear Time-varying Systems—0
Online Learning and Optimization for Queues with Unknown Demand Curve and Service Distribution—0
Eryn : A multi-purpose sampler for Bayesian inferenceCode1
Online Parameter Estimation using Physics-Informed Deep Learning for Vehicle Stability Algorithms—0
Low-Complexity Blind Parameter Estimation in Wireless Systems with Noisy Sparse SignalsCode0
Symbol-Level Precoding for Integrated Sensing and Communications: A Faster-Than-Nyquist Approach—0
Parameter Estimation-Based Extended Observer for Linear Systems with Polynomial Overparameterization—0
Image-based Pose Estimation and Shape Reconstruction for Robot Manipulators and Soft, Continuum Robots via Differentiable Rendering—0
Detecting Rough Volatility: A Filtering Approach—0
Contrastive Representation Learning for Acoustic Parameter Estimation—0
3D Target Detection and Spectral Classification for Single-photon LiDAR Data—0
LiQuiD-MIMO Radar: Distributed MIMO Radar with Low-Bit Quantization—0
Preconditioned Score-based Generative ModelsCode1
Efficient and Accurate Learning of Mixtures of Plackett-Luce Models—0
Bayesian Non-parametric Hidden Markov Model for Agile Radar Pulse Sequences Streaming Analysis—0
Data-based optimal estimation of frequency bias: The case of Southwest Power Pool—0
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference—0
Structure Learning and Parameter Estimation for Graphical Models via Penalized Maximum Likelihood Methods—0
MRAC with Memory for Switched Linear Systems—0
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free InferenceCode0
SNR/CRB-Constrained Joint Beamforming and Reflection Designs for RIS-ISAC SystemsCode1
Gaussian process regression and conditional Karhunen-Loéve models for data assimilation in inverse problemsCode0
Minimally Invasive Live Tissue High-fidelity Thermophysical Modeling using Real-time Thermography—0
Parameter Estimation-Based Observer for Linear Systems with Polynomial Overparametrization—0
Resolving the Conflict on Conduct Parameter Estimation in Homogeneous Goods Markets between Bresnahan (1982) and Perloff and Shen (2012)—0
Assessment of frequency stability behaviour regarding inertia reduction due to high renewable integration in the Iberian system—0
Robust M-Estimation for Additive Single-Index Cointegrating Time Series Models—0
Efficient and robust transfer learning of optimal individualized treatment regimes with right-censored survival dataCode0
Observability and Identifiability Analyses of Process Models for Agricultural Anaerobic Digestion Plants—0
Sharper Analysis for Minibatch Stochastic Proximal Point Methods: Stability, Smoothness, and Deviation—0
On Consistency and Asymptotic Normality of Least Absolute Deviation Estimators for 2-dimensional Sinusoidal Model—0
Lens Parameter Estimation for Realistic Depth of Field Modeling—0
Link-level simulator for 5G localizationCode0
Monotonous Parameter Estimation of One Class of Nonlinearly Parameterized Regressions without Overparameterization—0
Likelihood-based generalization of Markov parameter estimation and multiple shooting objectives in system identificationCode0
Riemannian Optimization for Variance Estimation in Linear Mixed Models—0
Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive GrammarsCode1
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