The following pages link to extracted from (P1689):
Displaying 50 items.
- The Maximum Distance Problem and Minimal Spanning Trees (Q6338781) (← links)
- Notes on the interpretation of dependence measures (Q6338826) (← links)
- Geometry-Aware Gradient Algorithms for Neural Architecture Search (Q6338846) (← links)
- Reach-SDP: Reachability Analysis of Closed-Loop Systems with Neural Network Controllers via Semidefinite Programming (Q6338853) (← links)
- A Multistate Low-dissipation Advection Upstream Splitting Method for Ideal Magnetohydrodynamics (Q6338871) (← links)
- Robust Control Design for Linear Systems via Multiplicative Noise (Q6338874) (← links)
- A Class of Models with the Potential to Represent Fundamental Physics (Q6338898) (← links)
- PySINDy: A Python package for the Sparse Identification of Nonlinear Dynamics from Data (Q6338925) (← links)
- Robust Frequency-Based Structure Extraction (Q6338982) (← links)
- Fast GPU 3D Diffeomorphic Image Registration (Q6338994) (← links)
- Neural-trust-region algorithm for unconstrained optimization (Part 1) (Q6339019) (← links)
- COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMF (Q6339031) (← links)
- New Metrics Between Rational Spectra and their Connection to Optimal Transport (Q6339037) (← links)
- The Variance of Causal Effect Estimators for Binary V-structures (Q6339040) (← links)
- Sequential Piecewise Linear Programming for Convergent Optimization of Non-Convex Problems (Q6339083) (← links)
- Wavefield recovery with limited-subspace weighted matrix factorizations (Q6339112) (← links)
- A Graph Joining Greedy Approach to Binary de Bruijn Sequences (Q6339121) (← links)
- Load on the Typical Poisson Voronoi Cell with Clustered User Distribution (Q6339159) (← links)
- An a posteriori error analysis for the equations of stationary incompressible magnetohydrodynamics (Q6339181) (← links)
- Practical calibration of the temperature parameter in Gibbs posteriors (Q6339213) (← links)
- Eigendecomposition of Q in Equally Constrained Quadratic Programming (Q6339245) (← links)
- The Weighted Euler Curve Transform for Shape and Image Analysis (Q6339292) (← links)
- Computational Experiment Design for Operations Model Simulation (Q6339338) (← links)
- Faster Parallel Multiterminal Cuts (Q6339357) (← links)
- The Covering-Assignment Problem for Swarm-powered Ad-hoc Clouds: A Distributed 3D Mapping Use-case (Q6339380) (← links)
- Learning to Guide Random Search (Q6339426) (← links)
- A relaxation approach to UBPPs based on equivalent DC penalized factorized matrix programs (Q6339438) (← links)
- Differentiating through Log-Log Convex Programs (Q6339465) (← links)
- SLSpy: Python-Based System-Level Controller Synthesis Framework (Q6339466) (← links)
- A posteriori error estimation for the non-self-consistent Kohn-Sham equations (Q6339598) (← links)
- Denise: Deep Robust Principal Component Analysis for Positive Semidefinite Matrices (Q6339603) (← links)
- Graph Homomorphism Convolution (Q6339941) (← links)
- Depth-2 Neural Networks Under a Data-Poisoning Attack (Q6340003) (← links)
- Learning selection strategies in Buchberger's algorithm (Q6340024) (← links)
- A fast and memory-efficient algorithm for smooth interpolation of polyrigid transformations: application to human joint tracking (Q6340068) (← links)
- Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications (Q6340073) (← links)
- Precoder Design and Statistical Power Allocation for MIMO-NOMA via User-Assisted Simultaneous Diagonalization (Q6340093) (← links)
- Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks (Q6340109) (← links)
- A generative adversarial network approach to calibration of local stochastic volatility models (Q6340112) (← links)
- Bias-Variance Tradeoffs in Joint Spectral Embeddings (Q6340115) (← links)
- DTR Bandit: Learning to Make Response-Adaptive Decisions With Low Regret (Q6340156) (← links)
- Domineering games with minimal number of moves (Q6340157) (← links)
- CS-TSSOS: Correlative and term sparsity for large-scale polynomial optimization (Q6340164) (← links)
- Training robust neural networks using Lipschitz bounds (Q6340180) (← links)
- A Chance Constraint Predictive Control and Estimation Framework for Spacecraft Descent with Field Of View Constraints (Q6340214) (← links)
- Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding (Q6340284) (← links)
- Project and Forget: Solving Large-Scale Metric Constrained Problems (Q6340285) (← links)
- Optimal Thinning of MCMC Output (Q6340297) (← links)
- Lightwave Power Transfer for Federated Learning-based Wireless Networks (Q6340300) (← links)
- Generalizing Outside the Training Set: When Can Neural Networks Learn Identity Effects? (Q6340332) (← links)
