Latest Articles for Data Representation

A guide on Tydi's specifications for improved data transfer in design.

Examining how lattice sampling can improve wavelet representation.

RepSGG enhances scene understanding by addressing representation and data challenges.

A creative method to visualize personal data through black-and-white embroidered designs.

This model analyzes human motion without prior knowledge or labels.

This paper presents a geometric view of transformer language models.

Assessing LLMs' abilities with Turtle syntax in knowledge graph tasks.

Explore the role of representations in enhancing reinforcement learning performance.

Exploring how sound can enhance data comprehension and accessibility.

A new method using octagons to improve knowledge graph representation.

An overview of unique graph structures and their implications.

Study questions the necessity of disentangled representations for abstract visual reasoning tasks.

DARL offers new methods for machines to learn and create images effectively.

A study on combining knowledge graphs and counterfactual reasoning in AI.

This study examines the challenges of reconstruction learning in machine learning for perception tasks.

Optimizing matrix multiplication with efficient integer representation in machine learning.

A new framework transforms image interpretation through open-vocabulary scene graphs.

This article examines non-wellfounded proofs and their role in computational logic.

New methods enhance visual scene analysis using efficient coding techniques.

A new approach to ensure fairness in algorithmic decision-making processes.

Free sets help in arranging planar graphs without edge crossings.

Exploring bi-reachability challenges in Petri nets enhanced with data values.

A novel approach employs graph convolutional networks for efficient music data analysis.

A project to improve survey representation of underrepresented groups in Liguria.

A new method for running Diffusion Transformers more effectively on smaller devices.

This article examines how AI can impact marginalized groups and ways to improve outcomes.

Study investigates how grounded language models understand complex language structures.

Introducing Equivariant Neural Fields for better data interpretation and manipulation.

Takum numbers offer a better option for computer arithmetic, balancing small and large number efficiency.

A novel method enhances tissue image analysis for better disease diagnosis.

Point-MAGE improves how point clouds are generated and understood.

VOCs provide a streamlined way to predict future video states efficiently.

A new method improves image quality and processing efficiency with colored 2D Gaussians.

A new standard improves neural network speed and energy efficiency in computing.

A novel approach to shape classification using graph-based techniques.

Research reveals similarities in image models' internal representations.

JumpReLU SAEs improve data representation while keeping it simple and clear.

ANR improves efficiency and performance in data representation tasks.

A new algorithm enhances hyperbolic embeddings for better hierarchical data representation.

This article examines race bias in AI-based cardiac imaging and proposes solutions.