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Showing 1401–1450 of 1719 papers

TitleStatusHype
Adaptive Input Design for Nonlinear System Identification with Operational Constraints—0
Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models—0
Adaptive modelling of anti-tau treatments for neurodegenerative disorders based on the Bayesian approach with physics-informed neural networks—0
Adaptive Observer for a Class of Systems with Switched Unknown Parameters Using DREM—0
Adaptive observer of state variables of a nonlinear time varying system with unknown constant parameters—0
Adaptive Physics-Informed Neural Networks for Markov-Chain Monte Carlo—0
Adaptive posterior concentration rates for sparse high-dimensional linear regression with random design and unknown error variance—0
Adaptive Randomized Dimension Reduction on Massive Data—0
Adaptive State Observers of Linear Time-varying Descriptor Systems: A Parameter Estimation-Based Approach—0
Adaptive Tracking Control with Binary-Valued Output Observations—0
A Data-driven Understanding of COVID-19 Dynamics Using Sequential Genetic Algorithm Based Probabilistic Cellular Automata—0
A data-informed mathematical model of microglial cell dynamics during ischemic stroke in the middle cerebral artery—0
A Deep Learning Approach to Multi-Fiber Parameter Estimation and Uncertainty Quantification in Diffusion MRI—0
A Dictionary Learning Approach for Factorial Gaussian Models—0
A Direct Estimation of High Dimensional Stationary Vector Autoregressions—0
A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation—0
A Discrete-Time Least-Squares Adaptive State Tracking Control Scheme with A Mobile-Robot System Study—0
Adjoint Multi-Start Based Estimation of Cardiac Hyperelastic Material Parameters using Shear Data—0
AdjointNet: Constraining machine learning models with physics-based codes—0
Advances in Surrogate Modeling for Biological Agent-Based Simulations: Trends, Challenges, and Future Prospects—0
Advances in Temporal Point Processes: Bayesian, Deep, and LLM Approaches—0
Advancing Smart Malnutrition Monitoring: A Multi-Modal Learning Approach for Vital Health Parameter Estimation—0
Advancing the Understanding of Fine-Grained 3D Forest Structures using Digital Cousins and Simulation-to-Reality: Methods and Datasets—0
Adversarial Likelihood-Free Inference on Black-Box Generator—0
A Dynamical Systems Approach for Convergence of the Bayesian EM Algorithm—0
A factor graph EM algorithm for inference of kinetic microstates from patch clamp measurements—0
A Fast Approximate AIB Algorithm for Distributional Word Clustering—0
A Fenchel-Young Loss Approach to Data-Driven Inverse Optimization—0
Affine Invariant Divergences associated with Composite Scores and its Applications—0
Affine Jump-Diffusions: Stochastic Stability and Limit Theorems—0
A finite-sample bound for identifying partially observed linear switched systems from a single trajectory—0
A Flexible Latent Space Model for Multilayer Networks—0
A folded model for compositional data analysis—0
A Fourier Approach to the Parameter Estimation Problem for One-dimensional Gaussian Mixture Models—0
A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics—0
Online Covariance Matrix Estimation in Stochastic Gradient Descent—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
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction with Applications to Low-Dose X-ray CT—0
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression—0
A Generalized Probabilistic Framework for Compact Codebook Creation—0
A General O(n^2) Hyper-Parameter Optimization for Gaussian Process Regression with Cross-Validation and Non-linearly Constrained ADMM—0
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts—0
A Generic Approach to Lung Field Segmentation from Chest Radiographs using Deep Space and Shape Learning—0
A genomic map of the effects of linked selection in Drosophila—0
A Graphical Global Optimization Framework for Parameter Estimation of Statistical Models with Nonconvex Regularization Functions—0
A Hierarchical Probabilistic Model for Facial Feature Detection—0
A Hybrid Antenna Switching Scheme for Dynamic Channel Sounding—0
A hybrid tau-leap for simulating chemical kinetics with applications to parameter estimation—0
AI-empowered Channel Estimation for Block-based Active IRS-enhanced Hybrid-field IoT Network—0
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges—0
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