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TitleStatusHype
Newtonized Orthogonal Matching Pursuit for High-Resolution Target Detection in Sparse OFDM ISAC Systems—0
Noise Benefits in Expectation-Maximization Algorithms—0
Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency—0
NoMoPy: Noise Modeling in Python—0
Non-Asymptotic Bounds for Closed-Loop Identification of Unstable Nonlinear Stochastic Systems—0
Non-Bayesian Post-Model-Selection Estimation as Estimation Under Model Misspecification—0
Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction—0
Nonlinear identification algorithm for online and offline study of pulmonary mechanical ventilation—0
Nonlinear moving horizon estimation for robust state and parameter estimation - extended version—0
Nonparametric Latent Tree Graphical Models: Inference, Estimation, and Structure Learning—0
Non-parametric model-based estimation of the effective reproduction number for SARS-CoV-2—0
Nonuniform Negative Sampling and Log Odds Correction with Rare Events Data—0
Normal Approximation for Stochastic Gradient Descent via Non-Asymptotic Rates of Martingale CLT—0
Not All Dialogues are Created Equal: Instance Weighting for Neural Conversational Models—0
Novel Parameter Estimation and Radar Detection Approaches for Multiple Point-like Targets: Designs and Comparisons—0
Novel View Acoustic Parameter Estimation—0
NRSurNN3dq4: A Deep Learning Powered Numerical Relativity Surrogate for Binary Black Hole Waveforms—0
Object 6D Pose Estimation with Non-local Attention—0
Object and Relation Centric Representations for Push Effect Prediction—0
Objects As Cameras: Estimating High-Frequency Illumination From Shadows—0
Observability and Identifiability Analyses of Process Models for Agricultural Anaerobic Digestion Plants—0
Observational nonidentifiability, generalized likelihood and free energy—0
Observation Site Selection for Physical Model Parameter Estimation toward Process-Driven Seismic Wavefield Reconstruction—0
On architectural choices in deep learning: From network structure to gradient convergence and parameter estimation—0
On bivariate lifetime modelling in life insurance applications—0
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