The following pages link to author name string (P43):
Displaying 50 items.
- Analyze the SATCON Algorithm's Capability to Estimate Tropical Storm Intensity across the West Pacific Basin (Q6421475) (← links)
- Investigation of reinforcement learning for shape optimization of profile extrusion dies (Q6421484) (← links)
- Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers (Q6421556) (← links)
- Juno: a Python-based graphical package for optical system design (Q6421580) (← links)
- Deep Quadratic Hedging (Q6421632) (← links)
- Clock and Orientation-Robust Simultaneous Radio Localization and Mapping at Millimeter Wave Bands (Q6421812) (← links)
- Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients (Q6421991) (← links)
- Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing (Q6422150) (← links)
- Learning to Maximize Mutual Information for Dynamic Feature Selection (Q6422300) (← links)
- Data-Driven Optimization of Directed Information over Discrete Alphabets (Q6422320) (← links)
- ENGNN: A General Edge-Update Empowered GNN Architecture for Radio Resource Management in Wireless Networks (Q6422350) (← links)
- Exploring Complex Dynamical Systems via Nonconvex Optimization (Q6422389) (← links)
- KoopmanLab: machine learning for solving complex physics equations (Q6422430) (← links)
- SailFFish: A Lightweight, Parallelised Fast Poisson Solver Library (Q6422438) (← links)
- PENDANTSS: PEnalized Norm-ratios Disentangling Additive Noise, Trend and Sparse Spikes (Q6422526) (← links)
- Federated Learning for Data Streams (Q6422536) (← links)
- Beyond spectral gap (extended): The role of the topology in decentralized learning (Q6422668) (← links)
- Restarts subject to approximate sharpness: A parameter-free and optimal scheme for first-order methods (Q6422695) (← links)
- BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization (Q6422911) (← links)
- Evaluating the Transferability of Machine-Learned Force Fields for Material Property Modeling (Q6422981) (← links)
- Accelerating large-eddy simulations of clouds with Tensor Processing Units (Q6423147) (← links)
- The Berkelmans-Pries Feature Importance Method: A Generic Measure of Informativeness of Features (Q6423160) (← links)
- Grant-Free Random Access of IoT devices in Massive MIMO with Partial CSI (Q6423181) (← links)
- A Stochastic Proximal Polyak Step Size (Q6423195) (← links)
- Optimization of Hybrid Power Plants: When Is a Detailed Electrolyzer Model Necessary? (Q6423268) (← links)
- Identification in a Binary Choice Panel Data Model with a Predetermined Covariate (Q6423358) (← links)
- Compress Then Test: Powerful Kernel Testing in Near-linear Time (Q6423410) (← links)
- CRC-Aided Learned Ensembles of Belief-Propagation Polar Decoders (Q6423427) (← links)
- Generalized Neural Closure Models with Interpretability (Q6423448) (← links)
- The Binary Linearization Complexity of Pseudo-Boolean Functions (Q6423449) (← links)
- On Using Deep Learning Proxies as Forward Models in Deep Learning Problems (Q6423653) (← links)
- Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) data (Q6423667) (← links)
- Digital Twin Based Beam Prediction: Can we Train in the Digital World and Deploy in Reality? (Q6423763) (← links)
- Learning-Rate-Free Learning by D-Adaptation (Q6423769) (← links)
- Emergence of the SVD as an interpretable factorization in deep learning for inverse problems (Q6423786) (← links)
- Mathematical analysis of singularities in the diffusion model under the submanifold assumption (Q6423793) (← links)
- Interval Reachability of Nonlinear Dynamical Systems with Neural Network Controllers (Q6423798) (← links)
- Geometric path augmentation for inference of sparsely observed stochastic nonlinear systems (Q6423832) (← links)
- DiME: Maximizing Mutual Information by a Difference of Matrix-Based Entropies (Q6423845) (← links)
- Accurately summarizing an outbreak using epidemiological models takes time (Q6423981) (← links)
- The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making (Q6424014) (← links)
- Quantum Monte Carlo algorithm for solving Black-Scholes PDEs for high-dimensional option pricing in finance and its proof of overcoming the curse of dimensionality (Q6424075) (← links)
- M22: A Communication-Efficient Algorithm for Federated Learning Inspired by Rate-Distortion (Q6424080) (← links)
- Verified reductions for optimization (Q6424103) (← links)
- Blocking sets, minimal codes and trifferent codes (Q6424128) (← links)
- Chemical Integration of ODEs using Idealized Abstract Solutions (Q6424252) (← links)
- Koopman neural operator as a mesh-free solver of non-linear partial differential equations (Q6424261) (← links)
- Explainable Data-Driven Optimization: From Context to Decision and Back Again (Q6424277) (← links)
- Search-Based Task and Motion Planning for Hybrid Systems: Agile Autonomous Vehicles (Q6424328) (← links)
- High-Throughput Rate-Flexible Combinational Decoders for Multi-Kernel Polar Codes (Q6424345) (← links)
