The following pages link to has companion code repository (P1687):
Displaying 50 items.
- FRaGenLP: A Generator of Random Linear Programming Problems for Cluster Computing Systems (Q6368223) (← links)
- ReduNet: A White-box Deep Network from the Principle of Maximizing Rate Reduction (Q6368234) (← links)
- Enhancing Feasibility and Safety of Nonlinear Model Predictive Control with Discrete-Time Control Barrier Functions (Q6368267) (← links)
- Denoising Noisy Neural Networks: A Bayesian Approach with Compensation (Q6368286) (← links)
- Statistical Testing under Distributional Shifts (Q6368314) (← links)
- Byzantine-Resilient Federated Machine Learning via Over-the-Air Computation (Q6368322) (← links)
- Learning Green's Functions of Linear Reaction-Diffusion Equations with Application to Fast Numerical Solver (Q6368346) (← links)
- Adjoint-based methods for optimization and goal-oriented error control applied to fluid-structure interaction: implementation of a partition-of-unity dual-weighted residual estimator for stationary forward FSI problems in deal.II (Q6368357) (← links)
- A new computational framework for log-concave density estimation (Q6368398) (← links)
- Random heterogeneity outperforms design in network synchronization (Q6368417) (← links)
- NPD Entropy: A Non-Parametric Differential Entropy Rate Estimator (Q6368434) (← links)
- A Comparison of Reward Functions in Q-Learning Applied to a Cart Position Problem (Q6368442) (← links)
- Towards Scalable Verification of Deep Reinforcement Learning (Q6368489) (← links)
- Principal Component Hierarchy for Sparse Quadratic Programs (Q6368507) (← links)
- Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs (Q6368513) (← links)
- Fast reactive flow simulations using analytical Jacobian and dynamic load balancing in OpenFOAM (Q6368518) (← links)
- Scaling Properties of Deep Residual Networks (Q6368548) (← links)
- Consistent Spectral Clustering of Network Block Models under Local Differential Privacy (Q6368612) (← links)
- Tight Lower Bounds for $\alpha$-Divergences Under Moment Constraints and Relations Between Different $\alpha$ (Q6368672) (← links)
- A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks (Q6368706) (← links)
- OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression (Q6368731) (← links)
- The random periodic solution of a stochastic differential equation with a monotone drift and its numerical approximation (Q6368757) (← links)
- Efficient and Accurate Gradients for Neural SDEs (Q6368760) (← links)
- Lattice partition recovery with dyadic CART (Q6368761) (← links)
- Information Fragmentation, Encryption and Information Flow in Complex Biological Networks (Q6368770) (← links)
- Scheduling Jobs with Stochastic Holding Costs (Q6368780) (← links)
- Gotta Go Fast When Generating Data with Score-Based Models (Q6368841) (← links)
- Support vector machines and linear regression coincide with very high-dimensional features (Q6368842) (← links)
- Optimality of the recursive Neyman allocation (Q6368923) (← links)
- The HulC: Confidence Regions from Convex Hulls (Q6368935) (← links)
- On the Secrecy Rate under Statistical QoS Provisioning for RIS-Assisted MISO Wiretap Channel (Q6368944) (← links)
- An iterative Jacobi-like algorithm to compute a few sparse eigenvalue-eigenvector pairs (Q6368945) (← links)
- Why does CTC result in peaky behavior? (Q6368974) (← links)
- Choose a Transformer: Fourier or Galerkin (Q6369007) (← links)
- Semi-Anchored Multi-Step Gradient Descent Ascent Method for Structured Nonconvex-Nonconcave Composite Minimax Problems (Q6369016) (← links)
- Efficient and Modular Implicit Differentiation (Q6369046) (← links)
- Persistent Homology Captures the Generalization of Neural Networks Without A Validation Set (Q6369052) (← links)
- Construction of simplicial complexes with prescribed degree-size sequences (Q6369077) (← links)
- AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry (Q6369088) (← links)
- On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry (Q6369091) (← links)
- Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts (Q6369101) (← links)
- Operator Splitting for Learning to Predict Equilibria in Convex Games (Q6369189) (← links)
- Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation (Q6369193) (← links)
- Refinement of Direction of Arrival Estimators by Majorization-Minimization Optimization on the Array Manifold (Q6369216) (← links)
- Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations (Q6369221) (← links)
- Diffusion Schr\"odinger Bridge with Applications to Score-Based Generative Modeling (Q6369280) (← links)
- q-RBFNN:A Quantum Calculus-based RBF Neural Network (Q6369284) (← links)
- Smooth Bilevel Programming for Sparse Regularization (Q6369297) (← links)
- Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification (Q6369301) (← links)
- Kernel Learning for Robust Dynamic Mode Decomposition: Linear and Nonlinear Disambiguation Optimization (LANDO) (Q6369310) (← links)
