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parameter estimation

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Showing 801–850 of 1719 papers

TitleStatusHype
Composite Adaptive Control for Time-varying Systems with Dual Adaptation—0
Leveraging Systematic Knowledge of 2D Transformations—0
Minimax Optimal Online Imitation Learning via Replay EstimationCode0
Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City—0
CREAM: Weakly Supervised Object Localization via Class RE-Activation MappingCode1
Consistent and fast inference in compartmental models of epidemics using Poisson Approximate LikelihoodsCode0
Optimal Neural Network Approximation of Wasserstein Gradient Direction via Convex OptimizationCode0
From Pedestrian Detection to Crosswalk Estimation: An EM Algorithm and Analysis on Diverse Datasets—0
EvoVGM: a Deep Variational Generative Model for Evolutionary Parameter EstimationCode0
Beyond EM Algorithm on Over-specified Two-Component Location-Scale Gaussian Mixtures—0
Approximate Message Passing with Parameter Estimation for Heavily Quantized MeasurementsCode0
Breaking the T Barrier: Instance-Independent Logarithmic Regret in Stochastic Contextual Linear Bandits—0
Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems—0
An Exponentially Increasing Step-size for Parameter Estimation in Statistical Models—0
RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation—0
Choice of training label matters: how to best use deep learning for quantitative MRI parameter estimationCode0
Differentiable Electron Microscopy Simulation: Methods and Applications for Visualization—0
Acoustic echo suppression using a learning-based multi-frame minimum variance distortionless response filter—0
DeepBayes -- an estimator for parameter estimation in stochastic nonlinear dynamical models—0
Statistical applications of contrastive learning—0
Sensing RISs: Enabling Dimension-Independent CSI Acquisition for Beamforming—0
Hierarchical Bayesian Modelling for Knowledge Transfer Across Engineering Fleets via Multitask LearningCode1
Estimating the Resize Parameter in End-to-end Learned Image CompressionCode0
Beyond the density operator and Tr(ρA): Exploiting the higher-order statistics of random-coefficient pure states for quantum information processing—0
Joint state and parameter estimation based on constrained zonotopes—0
Extraction of Unaliased High-Frequency Micro-Doppler Signature using FMCW radar—0
Enveloped Sinusoid Parseval Frames—0
Structured Covariance Matrix Estimation for Noise-Type Radars—0
Stress-Testing Point Cloud Registration on Automotive LiDARCode1
Deep learning based closed-loop optimization of geothermal reservoir production—0
High-Frequency-Based Volatility Model with Network Structure—0
The Rise of Intelligent Reflecting Surfaces in Integrated Sensing and Communications Paradigms—0
An alternative approach for distributed parameter estimation under Gaussian settings—0
Estimation of stellar atmospheric parameters from LAMOST DR8 low-resolution spectra with 20SNR<30—0
Robust online joint state/input/parameter estimation of linear systems—0
Bayesian Parameter Estimation for Dynamical Models in Systems BiologyCode0
An Optimal Experimental Design Approach for Light Configurations in Photometric Stereo—0
Online Adaptive Identification of Switched Affine Systems Using a Two-Tier Filter Architecture with Memory—0
A Set Membership Approach to Discovering Feature Relevance and Explaining Neural Classifier Decisions—0
Capturing positive network attributes during the estimation of recursive logit models: A prism-based approach—0
An Approximate MSE Expression for Maximum Likelihood and Other Implicitly Defined Estimators of Non-Random Parameters (extended version)—0
A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation—0
On Estimating the Autoregressive Coefficients of Time-Varying Fading Channels—0
Adaptive Observer for a Class of Systems with Switched Unknown Parameters Using DREM—0
Kernel-Based Identification of Local Limit Cycle Dynamics with Linear Periodically Parameter-Varying Models—0
Firebolt: Weak Supervision Under Weaker Assumptions—0
Dynamic state and parameter estimation in multi-machine power systems - Experimental demonstration using real-world PMU-measurements—0
Approximations for Optimal Experimental Design in Power System Parameter Estimation—0
Flexible development and evaluation of machine-learning-supported optimal control and estimation methods via HILO-MPC—0
Local Measurement Based Robust Voltage Stability Index & Identification of Voltage Collapse Onset—0
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