The following pages link to author name string (P43):
Displaying 50 items.
- Predicting the Stability of Hierarchical Triple Systems with Convolutional Neural Networks (Q6403085) (← links)
- Mutual-Information Based Optimal Experimental Design for Hyperpolarized $^{13}$C-Pyruvate MRI (Q6403101) (← links)
- Efficient Private SCO for Heavy-Tailed Data via Clipping (Q6403203) (← links)
- RankSEG: A Consistent Ranking-based Framework for Segmentation (Q6403215) (← links)
- Learning Deep Input-Output Stable Dynamics (Q6403216) (← links)
- Learning to Control Local Search for Combinatorial Optimization (Q6403225) (← links)
- Modern graph neural networks do worse than classical greedy algorithms in solving combinatorial optimization problems like maximum independent set (Q6403234) (← links)
- Adaptive Decoding Mechanisms for UAV-enabled Double-Uplink Coordinated NOMA (Q6403279) (← links)
- Benchopt: Reproducible, efficient and collaborative optimization benchmarks (Q6403290) (← links)
- A Simple Frequency Diversity Scheme for Ultra-Reliable Communications in Ground Reflection Scenarios (Q6403291) (← links)
- Cyber Network Resilience against Self-Propagating Malware Attacks (Q6403312) (← links)
- Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks (Q6403421) (← links)
- PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming (Q6403444) (← links)
- Exporting Ada Software to Python and Julia (Q6403453) (← links)
- A Perturbation Bound on the Subspace Estimator from Canonical Projections (Q6403458) (← links)
- Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs (Q6403459) (← links)
- Robust Online Voltage Control with an Unknown Grid Topology (Q6403476) (← links)
- Treatment Effect Estimation with Observational Network Data using Machine Learning (Q6403509) (← links)
- An extensible Benchmarking Graph-Mesh dataset for studying Steady-State Incompressible Navier-Stokes Equations (Q6403532) (← links)
- Learning-Based Near-Orthogonal Superposition Code for MIMO Short Message Transmission (Q6403597) (← links)
- Randomized K-FACs: Speeding up K-FAC with Randomized Numerical Linear Algebra (Q6403656) (← links)
- A Bayesian 'sandwich' for variance estimation (Q6403691) (← links)
- Some aspects of the Bergman and Hardy spaces associated with a class of generalized analytic functions (Q6403704) (← links)
- A Comparative Study of Graph Matching Algorithms in Computer Vision (Q6403721) (← links)
- Cell-Free Massive MIMO for URLLC: A Finite-Blocklength Analysis (Q6403815) (← links)
- Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces (Q6403818) (← links)
- Approximate Vanishing Ideal Computations at Scale (Q6403895) (← links)
- Dynamic Ranking and Translation Synchronization (Q6403934) (← links)
- Learning to Accelerate Approximate Methods for Solving Integer Programming via Early Fixing (Q6404060) (← links)
- Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality (Q6404064) (← links)
- Bayesian model selection for multilevel models using integrated likelihoods (Q6404068) (← links)
- State-Augmented Learnable Algorithms for Resource Management in Wireless Networks (Q6404080) (← links)
- STOCHOS: Stochastic Opportunistic Maintenance Scheduling For Offshore Wind Farms (Q6404085) (← links)
- Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems (Q6404132) (← links)
- Non-asymptotic convergence bounds for modified tamed unadjusted Langevin algorithm in non-convex setting (Q6404148) (← links)
- Betty: An Automatic Differentiation Library for Multilevel Optimization (Q6404198) (← links)
- Neural Stein critics with staged $L^2$-regularization (Q6404307) (← links)
- A Deep Learning-Based Framework for Low Complexity Multi-User MIMO Precoding Design (Q6404384) (← links)
- L$_0$onie: Compressing COINs with L$_0$-constraints (Q6404453) (← links)
- Batch-efficient EigenDecomposition for Small and Medium Matrices (Q6404463) (← links)
- Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning (Q6404491) (← links)
- Dynamic Traffic Assignment for Electric Vehicles (Q6404519) (← links)
- Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility (Q6404617) (← links)
- Fourier Neural Operator with Learned Deformations for PDEs on General Geometries (Q6404662) (← links)
- Size and depth of monotone neural networks: interpolation and approximation (Q6404672) (← links)
- Linear programming with unitary-equivariant constraints (Q6404755) (← links)
- Physics-Informed Deep Neural Operator Networks (Q6404764) (← links)
- Learning Bellman Complete Representations for Offline Policy Evaluation (Q6404774) (← links)
- Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation (Q6404799) (← links)
- TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels (Q6404879) (← links)
