The following pages link to has companion code repository (P1687):
Displaying 50 items.
- Partition and Code: learning how to compress graphs (Q6371995) (← links)
- Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance (Q6372010) (← links)
- Multivariate functional group sparse regression: functional predictor selection (Q6372032) (← links)
- DIRECTGO: A new DIRECT-type MATLAB toolbox for derivative-free global optimization (Q6372036) (← links)
- DeepCEL0 for 2D Single Molecule Localization in Fluorescence Microscopy (Q6372052) (← links)
- Asymptotics of Network Embeddings Learned via Subsampling (Q6372063) (← links)
- Universal approximation and model compression for radial neural networks (Q6372099) (← links)
- Discriminative Mutual Information Estimators for Channel Capacity Learning (Q6372176) (← links)
- Performance Evaluation of Mixed-Precision Runge-Kutta Methods (Q6372231) (← links)
- The folded concave Laplacian spectral penalty learns block diagonal sparsity patterns with the strong oracle property (Q6372247) (← links)
- Inexact Sequential Quadratic Optimization for Minimizing a Stochastic Objective Function Subject to Deterministic Nonlinear Equality Constraints (Q6372255) (← links)
- IDRLnet: A Physics-Informed Neural Network Library (Q6372386) (← links)
- Softplus Penalty Functions for Constrained Optimization (Q6372422) (← links)
- Relative Performance of Fisher Information in Interval Estimation (Q6372435) (← links)
- Algorithmic Causal Effect Identification with causaleffect (Q6372440) (← links)
- Reflection theorems for number rings (Q6372456) (← links)
- An algorithm for Egyptian fraction representations with restricted denominators (Q6372518) (← links)
- Exponential-Size Neighborhoods for the Pickup-and-Delivery Traveling Salesman Problem (Q6372548) (← links)
- Nonlinear Least Squares for Large-Scale Machine Learning using Stochastic Jacobian Estimates (Q6372600) (← links)
- Hidden Convexity of Wasserstein GANs: Interpretable Generative Models with Closed-Form Solutions (Q6372611) (← links)
- Numerical approximation of statistical solutions of the incompressible Navier-Stokes Equations (Q6372681) (← links)
- Low Rate Protograph-Based LDPC Codes for Continuous Variable Quantum Key Distribution (Q6372702) (← links)
- Trellis BMA: Coded Trace Reconstruction on IDS Channels for DNA Storage (Q6372736) (← links)
- Optimal Power Allocation in Downlink Multicarrier NOMA Systems: Theory and Fast Algorithms (Q6372790) (← links)
- Scalable Biophysical Simulations of the Neuromuscular System (Q6372866) (← links)
- Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update (Q6372922) (← links)
- A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification (Q6372926) (← links)
- A Channel Coding Benchmark for Meta-Learning (Q6372937) (← links)
- Support vector machines for learning reactive islands (Q6373069) (← links)
- GoTube: Scalable Stochastic Verification of Continuous-Depth Models (Q6373076) (← links)
- Controlled invariant sets: implicit closed-form representations and applications (Q6373110) (← links)
- Equivariant Manifold Flows (Q6373116) (← links)
- Non-asymptotic estimates for TUSLA algorithm for non-convex learning with applications to neural networks with ReLU activation function (Q6373125) (← links)
- Mismatched Estimation of rank-one symmetric matrices under Gaussian noise (Q6373191) (← links)
- Compressed Compressor (Q6373194) (← links)
- Optimal strategy to certify quantum nonlocality (Q6373226) (← links)
- Compressing Multisets with Large Alphabets using Bits-Back Coding (Q6373237) (← links)
- Enumerating k-SAT functions (Q6373242) (← links)
- Relay-Assisted Cooperative Federated Learning (Q6373299) (← links)
- Positively Weighted Kernel Quadrature via Subsampling (Q6373313) (← links)
- An Exact Algorithm for Large-scale Non-convex Quadratic Facility Location (Q6373336) (← links)
- Entropic Regularization of the Nested Distance (Q6373371) (← links)
- Preventing dataset shift from breaking machine-learning biomarkers (Q6373385) (← links)
- On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms (Q6373411) (← links)
- Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs (Q6373422) (← links)
- Neural Fixed-Point Acceleration for Convex Optimization (Q6373431) (← links)
- User-Centric Perspective in Random Access Cell-Free Aided by Spatial Separability (Q6373434) (← links)
- Learning Sparse Fixed-Structure Gaussian Bayesian Networks (Q6373459) (← links)
- Distributed Saddle-Point Problems Under Similarity (Q6373497) (← links)
- Entropy solutions of non-local scalar conservation laws with congestion via deterministic particle method (Q6373506) (← links)
