The following pages link to author name string (P43):
Displaying 50 items.
- Low-rank Tensor Estimation via Riemannian Gauss-Newton: Statistical Optimality and Second-Order Convergence (Q6366042) (← links)
- DC3: A learning method for optimization with hard constraints (Q6366075) (← links)
- Basic Analysis of Bin-Packing Heuristics (Q6366077) (← links)
- A STDP-based Encoding Algorithm for Associative and Composite Data (Q6366080) (← links)
- Move Schedules: Fast persistence computations in coarse dynamic settings (Q6366090) (← links)
- Index Modulation Based Coordinate Interleaved Orthogonal Design for Secure Communications (Q6366116) (← links)
- A Low-Complexity MIMO Channel Estimator with Implicit Structure of a Convolutional Neural Network (Q6366150) (← links)
- A macro-micro approach to modeling parking (Q6366307) (← links)
- Exploiting Degeneracy in Belief Propagation Decoding of Quantum Codes (Q6366338) (← links)
- A Survey on User-Centric Cell-Free Massive MIMO Systems (Q6366341) (← links)
- Surface Multigrid via Intrinsic Prolongation (Q6366356) (← links)
- A Study of the Mathematics of Deep Learning (Q6366390) (← links)
- Adversarial Multi-task Learning Enhanced Physics-informed Neural Networks for Solving Partial Differential Equations (Q6366429) (← links)
- Fast computation of matrix function-based centrality measures for layer-coupled multiplex networks (Q6366436) (← links)
- Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements (Q6366465) (← links)
- LIDAR and Position-Aided mmWave Beam Selection with Non-local CNNs and Curriculum Training (Q6366470) (← links)
- User-centric Cell-free Massive MIMO Networks: A Survey of Opportunities, Challenges and Solutions (Q6366471) (← links)
- Fast Multiscale Diffusion on Graphs (Q6366477) (← links)
- Ranking the information content of distance measures (Q6366534) (← links)
- Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction Networks (Q6366584) (← links)
- Data-driven discovery of Green's functions with human-understandable deep learning (Q6366597) (← links)
- Binarized Aggregated Network with Quantization: Flexible Deep Learning Deployment for CSI Feedback in Massive MIMO System (Q6366616) (← links)
- Computing Optimal Persistent Cycles for Levelset Zigzag on Manifold-like Complexes (Q6366652) (← links)
- Implicit differentiation for fast hyperparameter selection in non-smooth convex learning (Q6366825) (← links)
- Learning to Continuously Optimize Wireless Resource in a Dynamic Environment: A Bilevel Optimization Perspective (Q6366831) (← links)
- Identifying hidden coalitions in the US House of Representatives by optimally partitioning signed networks based on generalized balance (Q6366875) (← links)
- UVIP: Model-Free Approach to Evaluate Reinforcement Learning Algorithms (Q6366911) (← links)
- A Geometric Analysis of Neural Collapse with Unconstrained Features (Q6366943) (← links)
- Rate Maximizations for Reconfigurable Intelligent Surface-Aided Wireless Networks: A Unified Framework via Block Minorization-Maximization (Q6366947) (← links)
- Neural graphical modelling in continuous-time: consistency guarantees and algorithms (Q6366969) (← links)
- Semidefinite Programming for Community Detection with Side Information (Q6367021) (← links)
- The $s$-value: evaluating stability with respect to distributional shifts (Q6367059) (← links)
- Content Caching for Shared Medium Networks Under Heterogeneous Users' Behaviours (Q6367078) (← links)
- Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics (Q6367198) (← links)
- Overcoming the complexity barrier of the dynamic message-passing method in networks with fat-tailed degree distributions (Q6367245) (← links)
- A Bregman Learning Framework for Sparse Neural Networks (Q6367263) (← links)
- Cyclic prime numbers (Q6367273) (← links)
- Neural Computation of Capacity Region of Memoryless Multiple Access Channels (Q6367285) (← links)
- Non-Parametric Estimation of Manifolds from Noisy Data (Q6367329) (← links)
- Using Deep Neural Networks to Predict and Improve the Performance of Polar Codes (Q6367356) (← links)
- Bayesian variational regularization on the ball (Q6367466) (← links)
- Cyclically Equivariant Neural Decoders for Cyclic Codes (Q6367470) (← links)
- Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time (Q6367475) (← links)
- Kernel Thinning (Q6367524) (← links)
- Analysis of stochastic Lanczos quadrature for spectrum approximation (Q6367623) (← links)
- 3D Two-Hop Cellular Networks with Wireless Backhauled UAVs: Modeling and Fundamentals (Q6367685) (← links)
- On the Stability Region of Intermittent Interference Networks (Q6367691) (← links)
- Dimensioning an Indoor SISO RIS-system: Approximations and Equivalence Models (Q6367744) (← links)
- Dissipativity and Integral Quadratic Constraints, Tailored computational robustness tests for complex interconnections (Q6367746) (← links)
- Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis (Q6367755) (← links)
