SOTAVerified

parameter estimation

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 351–400 of 1719 papers

TitleStatusHype
BrowNNe: Brownian Nonlocal Neurons & Activation Functions—0
Proximal Interacting Particle Langevin AlgorithmsCode0
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
Optimal Low-Depth Quantum Signal-Processing Phase Estimation—0
An Approximate Wave-Number Domain Expression for Near-Field XL-array Channel—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
Safety-Driven Battery Charging: A Fisher Information-guided Adaptive MPC with Real-time Parameter Identification—0
Parameter Estimation in Quantum Metrology Technique for Time Series Prediction—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
Constrained or Unconstrained? Neural-Network-Based Equation Discovery from DataCode0
System Identification for Lithium-Ion Batteries with Nonlinear Coupled Electro-Thermal Dynamics via Bayesian Optimization—0
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
Joint Channel, Data, and Radar Parameter Estimation for AFDM Systems in Doubly-Dispersive Channels—0
Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning—0
Variational Signal Separation for Automotive Radar Interference Mitigation—0
A Deep Learning Approach to Multi-Fiber Parameter Estimation and Uncertainty Quantification in Diffusion MRI—0
Borrowing Strength in Distributionally Robust Optimization via Hierarchical Dirichlet Processes—0
Modeling for Non-exponential Production Systems Using Parts Flow Data: Model Parameter Estimation and Performance Analysis—0
The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparisonCode2
Uncertainty Distribution Assessment of Jiles-Atherton Parameter Estimation for Inrush Current Studies—0
In The Wild Ellipse Parameter Estimation for Circular Dining Plates and Bowls—0
Near-Field Channel Characterization for Mid-band ELAA Systems: Sounding, Parameter Estimation, and Modeling—0
Communications under Bursty Mixed Gaussian-impulsive Noise: Demodulation and Performance Analysis—0
Digital Twin Calibration for Biological System-of-Systems: Cell Culture Manufacturing Process—0
Merging Parameter Estimation and Classification Using LASSO—0
DeepMpMRI: Tensor-decomposition Regularized Learning for Fast and High-Fidelity Multi-Parametric Microstructural MR Imaging—0
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-upCode0
Learning minimal volume uncertainty ellipsoidsCode0
Online Policy Learning and Inference by Matrix Completion—0
Estimating the Number of Components in Finite Mixture Models via Variational Approximation—0
Comparative Analysis of Information Theoretic and Statistical Methods for Line Parameter Estimation—0
Private Optimal Inventory Policy Learning for Feature-based Newsvendor with Unknown Demand—0
Estimating the Distribution of Parameters in Differential Equations with Repeated Cross-Sectional Data—0
A Fourier Approach to the Parameter Estimation Problem for One-dimensional Gaussian Mixture Models—0
A Comparison of Traditional and Deep Learning Methods for Parameter Estimation of the Ornstein-Uhlenbeck Process—0
SIFt-RLS: Subspace of Information Forgetting Recursive Least Squares—0
Efficient Batch and Recursive Least Squares for Matrix Parameter Estimation—0
Little Pilot is Needed for Channel Estimation with Integrated Super-Resolution Sensing and Communication—0
Differentially Private Log-Location-Scale Regression Using Functional Mechanism—0
Oxygen, Angiogenesis, Cancer and Immune Interplay in Breast Tumor Micro-Environment: A Computational Investigation—0
Ambiguity in the use of SIR models to fit epidemic incidence data—0
Moran's I 2-Stage Lasso: for Models with Spatial Correlation and Endogenous Variables—0
Low-Complexity Estimation Algorithm and Decoupling Scheme for FRaC System—0
SteinGen: Generating Fidelitous and Diverse Graph SamplesCode0
Show:102550
← PrevPage 8 of 35Next →

No leaderboard results yet.