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parameter estimation

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Showing 251–275 of 1719 papers

TitleStatusHype
BSD: a Bayesian framework for parametric models of neural spectraCode2
Accelerated Bayesian parameter estimation and model selection for gravitational waves with normalizing flows—0
Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications—0
The D-Subspace Algorithm for Online Learning over Distributed Networks—0
Vehicle Dynamics Parameter Estimation Methodology for Virtual Automated Driving TestingCode1
Modelling financial returns with mixtures of generalized normal distributions—0
ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification—0
Learning Infinite-Horizon Average-Reward Linear Mixture MDPs of Bounded Span—0
Fundamental Limits of Pulse Based UWB ISAC Systems: A Parameter Estimation Perspective—0
Modeling Platelet P2Y_1/_12 Pathway to Integrin Activation—0
Adaptive and Stratified Subsampling Techniques for High Dimensional Non-Standard Data Environments—0
Understanding Expert Structures on Minimax Parameter Estimation in Contaminated Mixture of Experts—0
Quadratic Gating Functions in Mixture of Experts: A Statistical Insight—0
A Two-Stage Federated Learning Approach for Industrial Prognostics Using Large-Scale High-Dimensional Signals—0
Combinatorial Multi-armed Bandits: Arm Selection via Group Testing—0
Physics-informed AI and ML-based sparse system identification algorithm for discovery of PDE's representing nonlinear dynamic systems—0
Robust identifiability for symbolic recovery of differential equationsCode0
Fitting the seven-parameter Generalized Tempered Stable distribution to the financial data—0
Minimax Hypothesis Testing for the Bradley-Terry-Luce Model—0
State Observer for the Fourth-order Model of a Salient Pole Synchronous Generator with Stator Losses: Known and Partially Unknown Input Cases—0
Integrating Physics-Informed Deep Learning and Numerical Methods for Robust Dynamics Discovery and Parameter Estimation—0
Parameter Estimation of Long Memory Stochastic Processes with Deep Neural NetworksCode0
Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among PromptsCode0
Response Estimation and System Identification of Dynamical Systems via Physics-Informed Neural NetworksCode1
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical SystemsCode1
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