The following pages link to extracted from (P1689):
Displaying 50 items.
- RadioUNet: Fast Radio Map Estimation with Convolutional Neural Networks (Q6329569) (← links)
- Lossless Convexification of Optimal Control Problems with Semi-continuous Inputs (Q6329571) (← links)
- Information in Infinite Ensembles of Infinitely-Wide Neural Networks (Q6329599) (← links)
- Minority Voter Distributions and Partisan Gerrymandering (Q6329672) (← links)
- Optimal Taxes in Atomic Congestion Games (Q6329676) (← links)
- An inexact augmented Lagrangian method for nonsmooth optimization on Riemannian manifold (Q6329691) (← links)
- Learning Robustness with Bounded Failure: An Iterative MPC Approach (Q6329692) (← links)
- Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems (Q6329714) (← links)
- Constrained Linear Data-feature Mapping for Image Classification (Q6329760) (← links)
- Fast Polynomial Kernel Classification for Massive Data (Q6329774) (← links)
- Capturing the Continuous Complexity of Behavior in C. elegans (Q6329775) (← links)
- ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems (Q6329789) (← links)
- Persistent and Zigzag Homology: A Matrix Factorization Viewpoint (Q6329799) (← links)
- The Convex Information Bottleneck Lagrangian (Q6329834) (← links)
- A New Distribution-Free Concept for Representing, Comparing, and Propagating Uncertainty in Dynamical Systems with Kernel Probabilistic Programming (Q6329844) (← links)
- DeepJSCC-f: Deep Joint Source-Channel Coding of Images with Feedback (Q6329854) (← links)
- Smart Grid State Estimation with PMUs Time Synchronization Errors (Q6329913) (← links)
- Compressed MRI Reconstruction Exploiting a Rotation-Invariant Total Variation Discretization (Q6329933) (← links)
- Topological Machine Learning for Multivariate Time Series (Q6329961) (← links)
- Model-Aware Deep Architectures for One-Bit Compressive Variational Autoencoding (Q6329997) (← links)
- Multiple quadrotors carrying a flexible hose: dynamics, differential flatness and control (Q6330028) (← links)
- Option-Critic in Cooperative Multi-agent Systems (Q6330058) (← links)
- Efficient Calibration of Embedded MPC (Q6330088) (← links)
- Energy-Efficient Task Offloading Under E2E Latency Constraints (Q6330158) (← links)
- Joint Resource and Admission Management for Slice-enabled Networks (Q6330159) (← links)
- Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization (Q6330180) (← links)
- Variational Physics-Informed Neural Networks For Solving Partial Differential Equations (Q6330264) (← links)
- FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints (Q6330285) (← links)
- Stochastic Newton and Cubic Newton Methods with Simple Local Linear-Quadratic Rates (Q6330368) (← links)
- A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems (Q6330408) (← links)
- Causal structure based root cause analysis of outliers (Q6330541) (← links)
- Total Variation Regularisation with Spatially Variable Lipschitz Constraints (Q6330545) (← links)
- Conditional Mutual Information Estimation for Mixed Discrete and Continuous Variables with Nearest Neighbors (Q6330636) (← links)
- Adaptive Trajectory Estimation with Power Limited Steering Model under Perturbation Compensation (Q6330689) (← links)
- All 2-neighborly d-polytopes with at most d + 9 facets (Q6330722) (← links)
- Subspace power method for symmetric tensor decomposition and generalized PCA (Q6330740) (← links)
- Persistent spectral graph (Q6330762) (← links)
- Butterfly-Net2: Simplified Butterfly-Net and Fourier Transform Initialization (Q6330764) (← links)
- A Branch-and-Price Algorithm for a Team Orienteering Problem with Fixed-Wing Drones (Q6330786) (← links)
- Neural Networks as Geometric Chaotic Maps (Q6330873) (← links)
- Sub-sampling and other considerations for efficient risk estimation in large portfolios (Q6330930) (← links)
- High-Dimensional Granger Causality Tests with an Application to VIX and News (Q6331037) (← links)
- A Distributed Quasi-Newton Algorithm for Primal and Dual Regularized Empirical Risk Minimization (Q6331059) (← links)
- Stochastic Lagrangian Dynamics of Vorticity. I. General Theory (Q6331081) (← links)
- PyHessian: Neural Networks Through the Lens of the Hessian (Q6331159) (← links)
- Constructing high order spherical designs as a union of two of lower order (Q6331160) (← links)
- More Data Can Hurt for Linear Regression: Sample-wise Double Descent (Q6331173) (← links)
- ITENE: Intrinsic Transfer Entropy Neural Estimator (Q6331179) (← links)
- The Integrated Vehicle and Pollster Routing Problem (Q6331190) (← links)
- Learning Hidden Dynamics using Intelligent Automatic Differentiation (Q6331216) (← links)
