The following pages link to author name string (P43):
Displaying 50 items.
- A Fisher Information Analysis of Joint Localization and Synchronization in Near Field (Q6322243) (← links)
- Search-Based Motion Planning for Performance Autonomous Driving (Q6322292) (← links)
- Federated Principal Component Analysis (Q6322324) (← links)
- A Graph Neural Network Approach for Scalable Wireless Power Control (Q6322367) (← links)
- End-to-end Learning for GMI Optimized Geometric Constellation Shape (Q6322371) (← links)
- Kernel Mode Decomposition and programmable/interpretable regression networks (Q6322377) (← links)
- signADAM: Learning Confidences for Deep Neural Networks (Q6322444) (← links)
- Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization (Q6322473) (← links)
- Decentralized Deep Learning with Arbitrary Communication Compression (Q6322498) (← links)
- Stochastic algorithms with geometric step decay converge linearly on sharp functions (Q6322514) (← links)
- Efficient Deep Learning Techniques for Multiphase Flow Simulation in Heterogeneous Porous Media (Q6322518) (← links)
- Achievable Rate Region for Iterative Multi-User Detection via Low-cost Gaussian Approximation (Q6322522) (← links)
- Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions (Q6322595) (← links)
- Robust and Communication-Efficient Collaborative Learning (Q6322639) (← links)
- Learning and Interpreting Potentials for Classical Hamiltonian Systems (Q6322766) (← links)
- DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks (Q6322775) (← links)
- A Higher-Order Swiss Army Infinitesimal Jackknife (Q6322805) (← links)
- Guaranteed optimal reachability control of reaction-diffusion equations using one-sided Lipschitz constants and model reduction (Q6322810) (← links)
- Discovering Association with Copula Entropy (Q6322831) (← links)
- Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization (Q6322907) (← links)
- Persistence Concepts for 2D Skeleton Evolution Analysis (Q6322957) (← links)
- pySOT and POAP: An event-driven asynchronous framework for surrogate optimization (Q6323033) (← links)
- Calibrating the Adaptive Learning Rate to Improve Convergence of ADAM (Q6323068) (← links)
- Multi-Scale Learned Iterative Reconstruction (Q6323104) (← links)
- StateSpaceModels.jl: a Julia Package for Time-Series Analysis in a State-Space Framework (Q6323214) (← links)
- An Algorithm for Graph-Fused Lasso Based on Graph Decomposition (Q6323283) (← links)
- Refining the Structure of Neural Networks Using Matrix Conditioning (Q6323289) (← links)
- Towards closing the gap between the theory and practice of SVRG (Q6323324) (← links)
- Scalable Cell-Free Massive MIMO Systems (Q6323389) (← links)
- Probabilistic Models with Deep Neural Networks (Q6323433) (← links)
- Learning physics-based reduced-order models for a single-injector combustion process (Q6323462) (← links)
- On the Convergence of AdaBound and its Connection to SGD (Q6323575) (← links)
- A Tour of Convolutional Networks Guided by Linear Interpreters (Q6323654) (← links)
- Performance Characterization of Canonical Mobility Models in Drone Cellular Networks (Q6323664) (← links)
- Convergence of Gradient Methods on Bilinear Zero-Sum Games (Q6323726) (← links)
- Matrix Lie Maps and Neural Networks for Solving Differential Equations (Q6323779) (← links)
- Parametric Majorization for Data-Driven Energy Minimization Methods (Q6323789) (← links)
- Greedy Algorithms for Hybrid Compressed Sensing (Q6323814) (← links)
- Computing Estimators of Dantzig Selector type via Column and Constraint Generation (Q6323836) (← links)
- Distributed Stochastic Gradient Method for Non-Convex Problems with Applications in Supervised Learning (Q6323858) (← links)
- A tree-based radial basis function method for noisy parallel surrogate optimization (Q6323998) (← links)
- Genetic Algorithm for the 0/1 Multidimensional Knapsack Problem (Q6324000) (← links)
- A Novel Approach to the Partial Information Decomposition (Q6324066) (← links)
- Pareto-optimal data compression for binary classification tasks (Q6324109) (← links)
- Fundamentals of Drone Cellular Network Analysis under Random Waypoint Mobility Model (Q6324121) (← links)
- Role Detection in Bicycle-Sharing Networks Using Multilayer Stochastic Block Models (Q6324171) (← links)
- Forward-Mode Differentiation of Maxwell's Equations (Q6324304) (← links)
- Overcoming Some Drawbacks of Dynamic Movement Primitives (Q6324313) (← links)
- A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution (Q6324336) (← links)
- Short-and-Sparse Deconvolution -- A Geometric Approach (Q6324352) (← links)
