The following pages link to author name string (P43):
Displaying 50 items.
- Intelligent Reflecting Surface vs. Decode-and-Forward: How Large Surfaces Are Needed to Beat Relaying? (Q6320236) (← links)
- Artificial Noisy MIMO Systems under Correlated Scattering Rayleigh Fading -- A Physical Layer Security Approach (Q6320279) (← links)
- Ultra Fast Medoid Identification via Correlated Sequential Halving (Q6320290) (← links)
- Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding (Q6320301) (← links)
- Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning (Q6320321) (← links)
- Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks (Q6320365) (← links)
- Vulnerabilities of Power System Operations to Load Forecasting Data Injection Attacks (Q6320370) (← links)
- Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification (Q6320390) (← links)
- Evaluation of Dataflow through layers of Deep Neural Networks in Classification and Regression Problems (Q6320397) (← links)
- Identifying and Predicting Parkinson's Disease Subtypes through Trajectory Clustering via Bipartite Networks (Q6320414) (← links)
- Convolutional Neural Network based Multiple-Rate Compressive Sensing for Massive MIMO CSI Feedback: Design, Simulation, and Analysis (Q6320488) (← links)
- Topological Data Analysis with $\epsilon$-net Induced Lazy Witness Complex (Q6320501) (← links)
- Supracentrality Analysis of Temporal Networks with Directed Interlayer Coupling (Q6320530) (← links)
- Global Convergence of Least Squares EM for Demixing Two Log-Concave Densities (Q6320581) (← links)
- Tutorial on algebraic deletion correction codes (Q6320724) (← links)
- XNAS: Neural Architecture Search with Expert Advice (Q6320735) (← links)
- Steinhaus Filtration and Stable Paths in the Mapper (Q6320750) (← links)
- Multitaper Spectral Analysis of Neuronal Spiking Activity Driven by Latent Stationary Processes (Q6320767) (← links)
- Beyond exploding and vanishing gradients: analysing RNN training using attractors and smoothness (Q6320770) (← links)
- SoK of Used Cryptography in Blockchain (Q6320788) (← links)
- Learning the Sampling Pattern for MRI (Q6320797) (← links)
- Data-driven prediction of a multi-scale Lorenz 96 chaotic system using deep learning methods: Reservoir computing, ANN, and RNN-LSTM (Q6320810) (← links)
- A Multiscale Scan Statistic for Adaptive Submatrix Localization (Q6320816) (← links)
- Limitations of Lazy Training of Two-layers Neural Networks (Q6320818) (← links)
- Connectivity-Optimized Representation Learning via Persistent Homology (Q6320826) (← links)
- Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis (Q6320862) (← links)
- Theory of the Frequency Principle for General Deep Neural Networks (Q6320863) (← links)
- Multitaper Analysis of Evolutionary Spectra from Multivariate Spiking Observations (Q6320875) (← links)
- Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems (Q6320905) (← links)
- Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection (Q6321124) (← links)
- Aerial Base Stations Deployment in 6G Cellular Networks using Tethered Drones: The Mobility and Endurance Trade-off (Q6321147) (← links)
- The role of node dynamics in shaping emergent functional connectivity patterns in the brain (Q6321150) (← links)
- Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond (Q6321188) (← links)
- A New Lower Bound for Kullback-Leibler Divergence Based on Hammersley-Chapman-Robbins Bound (Q6321276) (← links)
- Geodesic Distance Estimation with Spherelets (Q6321278) (← links)
- Logical Clifford Synthesis for Stabilizer Codes (Q6321282) (← links)
- Efficient Algorithms for Smooth Minimax Optimization (Q6321430) (← links)
- A hp-adaptive discontinuous Galerkin solver for elliptic equations in numerical relativity (Q6321432) (← links)
- Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses (Q6321455) (← links)
- On a Randomized Multi-Block ADMM for Solving Selected Machine Learning Problems (Q6321480) (← links)
- On the Convergence of FedAvg on Non-IID Data (Q6321506) (← links)
- infotheory: A C++/Python package for multivariate information theoretic analysis (Q6321521) (← links)
- Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning (Q6321736) (← links)
- Comparing EM with GD in Mixture Models of Two Components (Q6321742) (← links)
- Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection (Q6321747) (← links)
- Residual Entropy (Q6321762) (← links)
- SVGD: A Virtual Gradients Descent Method for Stochastic Optimization (Q6321785) (← links)
- Ordered SGD: A New Stochastic Optimization Framework for Empirical Risk Minimization (Q6321826) (← links)
- Single Image Super-Resolution via CNN Architectures and TV-TV Minimization (Q6321950) (← links)
- Fast, Provably convergent IRLS Algorithm for p-norm Linear Regression (Q6322210) (← links)
