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parameter estimation

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Showing 351–375 of 1719 papers

TitleStatusHype
BrowNNe: Brownian Nonlocal Neurons & Activation Functions—0
Latent Variable Sequence Identification for Cognitive Models with Neural Network EstimatorsCode0
Adaptive Deep Neural Network-Based Control Barrier Functions—0
Proximal Interacting Particle Langevin AlgorithmsCode0
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
The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparisonCode2
Modeling for Non-exponential Production Systems Using Parts Flow Data: Model Parameter Estimation and Performance Analysis—0
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