The following pages link to author name string (P43):
Displaying 50 items.
- Interval-valued aggregation functions based on moderate deviations applied to Motor-Imagery-Based Brain Computer Interface (Q6354111) (← links)
- Improved rates for prediction and identification of partially observed linear dynamical systems (Q6354139) (← links)
- Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach (Q6354178) (← links)
- Continuous Blackjack: Equilibrium, Deviation and Adaptive Strategy (Q6354183) (← links)
- Distributed Power Flow and Distributed Optimization -- Formulation, Solution, and Open Source Implementation (Q6354184) (← links)
- How network properties and epidemic parameters influence stochastic SIR dynamics on scale-free random networks (Q6354219) (← links)
- SReachTools Kernel Module: Data-Driven Stochastic Reachability Using Hilbert Space Embeddings of Distributions (Q6354221) (← links)
- On the Benefits of Multiple Gossip Steps in Communication-Constrained Decentralized Optimization (Q6354226) (← links)
- Data-Driven System Level Synthesis (Q6354229) (← links)
- Distributed algorithms to determine eigenvectors of matrices on spatially distributed networks (Q6354314) (← links)
- Automatic differentiation of Sylvester, Lyapunov, and algebraic Riccati equations (Q6354344) (← links)
- An end-to-end data-driven optimisation framework for constrained trajectories (Q6354402) (← links)
- Wyner-Ziv Estimators for Distributed Mean Estimation with Side Information and Optimization (Q6354454) (← links)
- Photoacoustic Reconstruction Using Sparsity in Curvelet Frame: Image versus Data Domain (Q6354615) (← links)
- Consistency testing for robust phase estimation (Q6354663) (← links)
- Approximate Midpoint Policy Iteration for Linear Quadratic Control (Q6354765) (← links)
- Sequential Fair Allocation of Limited Resources under Stochastic Demands (Q6354785) (← links)
- Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging (Q6354786) (← links)
- To Boldly Show What No One Has Seen Before: A Dashboard for Visualizing Multi-objective Landscapes (Q6354791) (← links)
- Translation-invariant interpolation of parametric dictionaries (Q6354804) (← links)
- Topologically Driven Methods for Construction Of Multi-Edge Type (Multigraph with nodes puncturing) Quasi-Cyclic Low-density Parity-check Codes for Wireless Channel, WDM Long-Haul and Archival Holographic Memory (Q6354857) (← links)
- Iterative Error Decimation for Syndrome-Based Neural Network Decoders (Q6354937) (← links)
- Seizing Opportunity: Maintenance Optimization in Offshore Wind Farms Considering Accessibility, Production, and Crew Dispatch (Q6354959) (← links)
- Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication Systems (Q6354965) (← links)
- Functional Linear Regression with Mixed Predictors (Q6355002) (← links)
- Wireless Image Transmission Using Deep Source Channel Coding With Attention Modules (Q6355019) (← links)
- Debiasing Evaluations That are Biased by Evaluations (Q6355050) (← links)
- Residuals-based distributionally robust optimization with covariate information (Q6355120) (← links)
- Algebraically-Informed Deep Networks (AIDN): A Deep Learning Approach to Represent Algebraic Structures (Q6355123) (← links)
- New Algorithms And Fast Implementations To Approximate Stochastic Processes (Q6355130) (← links)
- K-Deep Simplex: Deep Manifold Learning via Local Dictionaries (Q6355255) (← links)
- A feedforward neural network for modelling of average pressure frequency response (Q6355273) (← links)
- Community detection using fast low-cardinality semidefinite programming (Q6355320) (← links)
- Near-Optimal Procedures for Model Discrimination with Non-Disclosure Properties (Q6355350) (← links)
- Selecting the number of components in PCA via random signflips (Q6355364) (← links)
- Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification (Q6355399) (← links)
- Estimating Vector Fields from Noisy Time Series (Q6355402) (← links)
- Block majorization-minimization with diminishing radius for constrained nonconvex optimization (Q6355444) (← links)
- Topological Echoes of Primordial Physics in the Universe at Large Scales (Q6355456) (← links)
- Multicell Power Control under Rate Constraints with Deep Learning (Q6355459) (← links)
- A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss Embeddings (Q6355475) (← links)
- Generative Adversarial User Privacy in Lossy Single-Server Information Retrieval (Q6355489) (← links)
- Invertibility Conditions for the Admittance Matrices of Balanced Power Systems (Q6355513) (← links)
- Construction of optimal spectral methods in phase retrieval (Q6355586) (← links)
- Accelerated Randomized Methods for Receiver Design in Extra-Large Scale MIMO Arrays (Q6355700) (← links)
- Optimization-Inspired Learning with Architecture Augmentations and Control Mechanisms for Low-Level Vision (Q6355704) (← links)
- IRS-Aided SWIPT: Joint Waveform, Active and Passive Beamforming Design Under Nonlinear Harvester Model (Q6355734) (← links)
- Variational Quantum Algorithms for Trace Distance and Fidelity Estimation (Q6355751) (← links)
- A Probabilistic Graphical Model Foundation for Enabling Predictive Digital Twins at Scale (Q6355765) (← links)
- Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization (Q6355774) (← links)
