Latest Articles for Sampling

Variable bandwidth transforms signal processing for better analysis and efficiency.

A new method enhances the realism of autonomous vehicle simulations.

GenPlot automates plot generation, aiding data visualization and machine learning training.

A new approach to fast sampling from complex distributions using neural networks.

A new method improves deep learning training for high-resolution scientific data analysis.

New autoregressive models improve sampling and representation of complex quantum states.

A review of the evolution and practical use of Markov bases in data sampling.

New techniques aim to speed up image rendering in complex 3D scenes using DDFs.

A look into least-squares methods for function approximation using data points.

A new framework improves sampling of extreme events using machine learning and traditional methods.

New methods improve efficiency in clustering large datasets for better insights.

A new method uses randomness and machine learning for faster Grobner basis calculation.

New methods enhance how models select frames for answering questions from videos.

A look at Krasovskii passivity and its impact on control systems stability.

AutoHint improves prompt quality for better language model performance.

Introducing VertexNet to enhance RRT* algorithm for quicker path finding.

Timely monitoring systems can help manage and reduce the spread of diseases.

A new strategy enhances effectiveness of backdoor attacks through smarter sample selection.

A new algorithm improves sampling from shallow quantum circuits affected by noise.

Study shows lubrication enhances comfort without compromising sample quality in screenings.

Introducing efficient techniques for evaluating uncertain outcomes in programming.

A new algorithm enhances the sampling of lattice points in polytopes.

Research explores how transverse forces impact particle dynamics and sampling in dense liquids.

New techniques improve molecular dynamics and drug design sampling methods.

HUGE simplifies graph embedding for large datasets using TPUs.

Learn about Hamiltonian Monte Carlo and its applications in statistics and science.

This article reviews the RRTF framework's impact on Code LLM performance.

Learn about Spike-and-Slab Priors and their applications in Bayesian linear regression.

SCGDN improves graph clustering with structured sampling and enhanced node representation.

A study reveals the effectiveness of eDNA in monitoring aquatic biodiversity.

Exploring the role of bosons in enhancing quantum computing techniques.

Leaven streamlines surface and volume sampling for 3D shapes in simulations.

Learn how stochastic optimization addresses uncertainty in various fields.

Examining the complexities of retrieving signals with Gabor phase retrieval.

Introducing Variational Inference Thompson Sampling for efficient decision-making.

VampNet transforms music processing through innovative token modeling techniques.

New methods improve the acquisition and recovery of bandpass signals.

A new method improves quantum sampling by addressing noise through the tetrahelix code.

New methods improve how we generate discrete data like language.

A new method enhances optical computing by improving training efficiency and performance.