The following pages link to author name string (P43):
Displaying 50 items.
- RL-NCS: Reinforcement learning based data-driven approach for nonuniform compressed sensing (Q6371788) (← links)
- Adaptive Regularized Zero-Forcing Beamforming in Massive MIMO with Multi-Antenna Users (Q6371790) (← links)
- Learning Primal Heuristics for Mixed Integer Programs (Q6371792) (← links)
- Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization (Q6371840) (← links)
- Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE (Q6371843) (← links)
- Combinatorial Optimization with Physics-Inspired Graph Neural Networks (Q6371853) (← links)
- Asymptotic Statistical Analysis of Sparse Group LASSO via Approximate Message Passing Algorithm (Q6371864) (← links)
- Spatiotemporal information conversion machine for time-series prediction (Q6371879) (← links)
- Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks (Q6371894) (← links)
- Optimal Binary Classification Beyond Accuracy (Q6371952) (← links)
- Partition and Code: learning how to compress graphs (Q6371995) (← links)
- Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance (Q6372010) (← links)
- Multivariate functional group sparse regression: functional predictor selection (Q6372032) (← links)
- DIRECTGO: A new DIRECT-type MATLAB toolbox for derivative-free global optimization (Q6372036) (← links)
- DeepCEL0 for 2D Single Molecule Localization in Fluorescence Microscopy (Q6372052) (← links)
- Asymptotics of Network Embeddings Learned via Subsampling (Q6372063) (← links)
- Discriminative Mutual Information Estimators for Channel Capacity Learning (Q6372176) (← links)
- The folded concave Laplacian spectral penalty learns block diagonal sparsity patterns with the strong oracle property (Q6372247) (← links)
- IDRLnet: A Physics-Informed Neural Network Library (Q6372386) (← links)
- Algorithmic Causal Effect Identification with causaleffect (Q6372440) (← links)
- Nonlinear Least Squares for Large-Scale Machine Learning using Stochastic Jacobian Estimates (Q6372600) (← links)
- Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions (Q6372611) (← links)
- Low Rate Protograph-Based LDPC Codes for Continuous Variable Quantum Key Distribution (Q6372702) (← links)
- Trellis BMA: Coded Trace Reconstruction on IDS Channels for DNA Storage (Q6372736) (← links)
- Optimal Power Allocation in Downlink Multicarrier NOMA Systems: Theory and Fast Algorithms (Q6372790) (← links)
- Scalable Biophysical Simulations of the Neuromuscular System (Q6372866) (← links)
- Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update (Q6372922) (← links)
- A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification (Q6372926) (← links)
- A Channel Coding Benchmark for Meta-Learning (Q6372937) (← links)
- GoTube: Scalable Stochastic Verification of Continuous-Depth Models (Q6373076) (← links)
- Controlled invariant sets: implicit closed-form representations and applications (Q6373110) (← links)
- Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function (Q6373125) (← links)
- Mismatched Estimation of rank-one symmetric matrices under Gaussian noise (Q6373191) (← links)
- Compressing Multisets with Large Alphabets using Bits-Back Coding (Q6373237) (← links)
- Relay-Assisted Cooperative Federated Learning (Q6373299) (← links)
- Preventing dataset shift from breaking machine-learning biomarkers (Q6373385) (← links)
- On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms (Q6373411) (← links)
- Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs (Q6373422) (← links)
- Neural Fixed-Point Acceleration for Convex Optimization (Q6373431) (← links)
- User-Centric Perspective in Random Access Cell-Free Aided by Spatial Separability (Q6373434) (← links)
- Learning Sparse Fixed-Structure Gaussian Bayesian Networks (Q6373459) (← links)
- Distributed Saddle-Point Problems Under Similarity (Q6373497) (← links)
- Accelerating Quadratic Optimization with Reinforcement Learning (Q6373519) (← links)
- Bagging, optimized dynamic mode decomposition (BOP-DMD) for robust, stable forecasting with spatial and temporal uncertainty-quantification (Q6373523) (← links)
- Learning Linear Polytree Structural Equation Models (Q6373541) (← links)
- Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark (Q6373554) (← links)
- Optimal transport-based machine learning to match specific patterns: application to the detection of molecular regulation patterns in omics data (Q6373580) (← links)
- Reconfigurable Intelligent Surface Phase Hopping for Ultra-Reliable Communications (Q6373705) (← links)
- Plugin Estimation of Smooth Optimal Transport Maps (Q6373797) (← links)
- Efficient Treatment Effect Estimation in Observational Studies under Heterogeneous Partial Interference (Q6373805) (← links)
