Latest Articles for Optimal Transport

A new method enhances efficiency in optimal transport problems using flow updates.

A new method improves the restoration of images with damaged networks.

This study introduces a novel approach to dimension reduction using semi-relaxed Gromov-Wasserstein distance.

A method to enhance topic modeling with researcher input.

Introducing new solvers for efficient optimal transport in machine learning.

Explore how non-linear transforms enhance data representation and analysis.

A look into efficient methods for resource movement across various fields.

A new method that combines strengths of Sliced and Tree Wasserstein for dynamic data analysis.

A new framework enhances transport methods between varying dimensions and types of spaces.

Exploring optimal transport methods to improve light manipulation in optics.

This article discusses improving neural network training speed using transfer learning from supernets.

This article discusses methods for estimating quantiles in directional data.

Discover how optimal transport improves resource movement and distribution efficiently.

A novel approach improves detection of new particle physics signals efficiently.

A look into optimal transport and its applications across various fields.

Research reveals connections between optimal transport and diffusion in porous mediums.

A new method enhances the analysis of minimal residual disease in leukemia.

A new method helps scientists predict how particles move over time.

A new approach improves the design of surfaces that control light patterns.

A new method improves automatic speech recognition by preserving sound order in knowledge transfer.

New methods improve efficiency in transporting resources with lower costs.

A deep dive into Wasserstein projections and their applications in statistics.

A new method simplifies estimating connections between probability distributions.

This paper presents a method to enhance fairness in multi-output machine learning models.

A novel approach tackles channel variation in voice recognition systems.

A new method for improving data comparison using optimal transport.

A novel approach helps classify supernovae using limited data.

Combining optimal transport and structural models improves single-cell data interpretation.

A fresh approach improves how scientists study particle collision events.

Examining new methods and factors affecting global trade patterns.

A new method improves data alignment, especially with noisy datasets.

Researchers develop a faster method to predict how cells react to treatments.

GGFlow improves drug design by efficiently generating new molecular structures.

A guide on fair resource distribution in diverse groups.

Scientists analyze hydrogen maps to learn about star and galaxy formation.

Boosting robot accuracy in recognizing new images using clever word techniques.

Exploring how galaxies and their halos affect light in the universe.

Learn how optimal transport reshapes resource movement across time and space.

Discover how optimal transport transforms logistics and engineering design.

DMD-GEN offers new insights to improve generative models for time series data.