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TitleStatusHype
Detection and Multi-Parameter Estimation for NLOS Targets: An IRS-assisted Framework—0
Adaptive Cooperative Tracking and Parameter Estimation of an Uncertain Leader over General Directed Graphs—0
Cooperative ISAC-empowered Low-Altitude Economy—0
Detection of Non-uniformity in Parameters for Magnetic Domain Pattern Generation by Machine Learning—0
Convolutional method for data assimilation An improved method on neuronal electrophysiological data—0
Dictionary-Free MRI PERK: Parameter Estimation via Regression with Kernels—0
Convolutional Dictionary Learning through Tensor Factorization—0
Differentiable Electron Microscopy Simulation: Methods and Applications for Visualization—0
Differentiable Particle Filtering using Optimal Placement Resampling—0
Differentiable Physics: A Position Piece—0
A Reinforcement Learning-based Economic Model Predictive Control Framework for Autonomous Operation of Chemical Reactors—0
Convex Parameter Recovery for Interacting Marked Processes—0
Convex Parameter Estimation of Perturbed Multivariate Generalized Gaussian Distributions—0
A reduced-order modeling framework for simulating signatures of faults in a bladed disk—0
Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition—0
Convergence Rates for Softmax Gating Mixture of Experts—0
A Queuing Approach to Parking: Modeling, Verification, and Prediction—0
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts—0
Adaptive Deep Neural Network-Based Control Barrier Functions—0
A Probabilistic Bayesian Approach to Recover R_2^* map and Phase Images for Quantitative Susceptibility Mapping—0
Convergence Rates for Gaussian Mixtures of Experts—0
Control-Oriented Modelling and Adaptive Parameter Estimation for Hybrid Wind-Wave Energy Systems—0
A Python library for nonlinear system identification using Multi-Gene Genetic Programming algorithm—0
Control of SIR Epidemics: Sacrificing Optimality for Feasibility—0
Contrastive Representation Learning for Acoustic Parameter Estimation—0
A General O(n^2) Hyper-Parameter Optimization for Gaussian Process Regression with Cross-Validation and Non-linearly Constrained ADMM—0
Contrastive Normalizing Flows for Uncertainty-Aware Parameter Estimation—0
Approximations for Optimal Experimental Design in Power System Parameter Estimation—0
Continuous Time Particle Filtering for fMRI—0
Continuous Target-free Extrinsic Calibration of a Multi-Sensor System from a Sequence of Static Viewpoints—0
Approximating particle-based clustering dynamics by stochastic PDEs—0
A Generalized Probabilistic Framework for Compact Codebook Creation—0
Example-based Color Transfer with Gaussian Mixture Modeling—0
Context-specific independence in graphical log-linear models—0
Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning—0
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression—0
Constrained Optimization for a Subset of the Gaussian Parsimonious Clustering Models—0
Constrained Ellipse Fitting for Efficient Parameter Mapping with Phase-cycled bSSFP MRI—0
Approximate Bayesian Computation Based on Maxima Weighted Isolation Kernel Mapping—0
Constrained Bayesian Inference for Low Rank Multitask Learning—0
Constrained and Regularized Quantitative Ultrasound Parameter Estimation using ADMM—0
An Approximate Wave-Number Domain Expression for Near-Field XL-array Channel—0
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction with Applications to Low-Dose X-ray CT—0
Adaptive calibration of Heston Model using PCRLB based switching Filter—0
Accuracy of MAP segmentation with hidden Potts and Markov mesh prior models via Path Constrained Viterbi Training, Iterated Conditional Modes and Graph Cut based algorithms—0
Consistent Parameter Estimation for LASSO and Approximate Message Passing—0
Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation—0
Application of Tilt Correlation Statistics to Anisoplanatic Optical Turbulence Modeling and Mitigation—0
A Functional Model for Structure Learning and Parameter Estimation in Continuous Time Bayesian Network: An Application in Identifying Patterns of Multiple Chronic Conditions—0
Confidence Intervals and Hypothesis Testing for High-Dimensional Statistical Models—0
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