The following pages link to extracted from (P1689):
Displaying 50 items.
- On evaluation of the confluent Heun functions (Q6299910) (← links)
- Simultaneous Mean-Variance Regression (Q6299958) (← links)
- The Category of Von Neumann Algebras (Q6300012) (← links)
- End-to-End Learning of Communications Systems Without a Channel Model (Q6300022) (← links)
- Estimation of Camera Locations in Highly Corrupted Scenarios: All About that Base, No Shape Trouble (Q6300056) (← links)
- Decomposition and Completion of Sum-of-Squares Matrices (Q6300071) (← links)
- Deep Learning of the Nonlinear Schr\"odinger Equation in Fiber-Optic Communications (Q6300084) (← links)
- Universal and Succinct Source Coding of Deep Neural Networks (Q6300085) (← links)
- MmWave MU-MIMO for Aerial Networks (Q6300143) (← links)
- Roto-Translation Covariant Convolutional Networks for Medical Image Analysis (Q6300157) (← links)
- An information-theoretic, all-scales approach to comparing networks (Q6300187) (← links)
- Combinatorics of explicit substitutions (Q6300204) (← links)
- The Channel Capacity of Channelrhodopsin and Other Intensity-Driven Signal Transduction Receptors (Q6300272) (← links)
- Impulsive Noise Robust Sparse Recovery via Continuous Mixed Norm (Q6300282) (← links)
- Adaptive Federated Learning in Resource Constrained Edge Computing Systems (Q6300355) (← links)
- Nonlinear Vibrations in the Fullerene Molecule $C_{60}$ (Q6300384) (← links)
- Cross-Domain Adversarial Auto-Encoder (Q6300442) (← links)
- Data-based Distributionally Robust Stochastic Optimal Power Flow, Part II: Case studies (Q6300475) (← links)
- Data-based Distributionally Robust Stochastic Optimal Power Flow, Part I: Methodologies (Q6300477) (← links)
- Two-Player Games for Efficient Non-Convex Constrained Optimization (Q6300492) (← links)
- Successive Convexification: A Superlinearly Convergent Algorithm for Non-convex Optimal Control Problems (Q6300496) (← links)
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations (Q6300543) (← links)
- Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning (Q6300600) (← links)
- An Efficient Algorithm to Compute the Colored Jones Polynomial (Q6300626) (← links)
- Rician $K$-Factor-Based Analysis of XLOS Service Probability in 5G Outdoor Ultra-Dense Networks (Q6300640) (← links)
- Efficient Nonlinear Precoding for Massive MU-MIMO Downlink Systems with 1-Bit DACs (Q6300720) (← links)
- Tie-decay networks in continuous time and eigenvector-based centralities (Q6301013) (← links)
- Acceleration of RED via Vector Extrapolation (Q6301224) (← links)
- Implementation of Stochastic Quasi-Newton's Method in PyTorch (Q6301248) (← links)
- Greedy Sensor Placement with Cost Constraints (Q6301393) (← links)
- Distributed Path Selection Strategies for Integrated Access and Backhaul at mmWaves (Q6301464) (← links)
- KL-UCB-switch: optimal regret bounds for stochastic bandits from both a distribution-dependent and a distribution-free viewpoints (Q6301530) (← links)
- How to transform graph states using single-qubit operations: computational complexity and algorithms (Q6301551) (← links)
- Local Saddle Point Optimization: A Curvature Exploitation Approach (Q6301591) (← links)
- Model reduction of a parametrized scalar hyperbolic conservation law using displacement interpolation (Q6301615) (← links)
- A Note on QR-Based Model Reduction: Algorithm, Software, and Gravitational Wave Applications (Q6301631) (← links)
- From high-level inference algorithms to efficient code (Q6301672) (← links)
- $\mathcal{P}$ Play in Candy Nim (Q6301745) (← links)
- Tropical Geometry of Deep Neural Networks (Q6301756) (← links)
- Construction of quasi-potentials for stochastic dynamical systems: an optimization approach (Q6301784) (← links)
- Blended Conditional Gradients: the unconditioning of conditional gradients (Q6301789) (← links)
- New explicit solution to the N-Queens Problem and its relation to the Millennium Problem (Q6301792) (← links)
- Computing Kantorovich-Wasserstein Distances on $d$-dimensional histograms using $(d+1)$-partite graphs (Q6301803) (← links)
- Sequential adaptive elastic net approach for single-snapshot source localization (Q6301819) (← links)
- Deep Generative Markov State Models (Q6301822) (← links)
- Compact Finite Differences and Cubic Splines (Q6301830) (← links)
- Massive MIMO with Spatially Correlated Rician Fading Channels (Q6301881) (← links)
- Gradient descent in hyperbolic space (Q6301903) (← links)
- Bandit-Based Monte Carlo Optimization for Nearest Neighbors (Q6301915) (← links)
- Step Size Matters in Deep Learning (Q6301963) (← links)
