Latest Articles for Variational Autoencoder

A new method improves data generation, reconstruction, and representation in machine learning.

This study reveals a new method for analyzing titanium microstructures with machine learning.

A new method simplifies audio style transfer using non-differentiable effects.

A new approach enhances how different data types are combined for better analysis.

New techniques improve data storage in connectomics.

Generative AI offers new tools for innovative architectural designs and improved efficiency.

A new method enhances avatar speech through natural movements and expressions.

Strategies for improving variational autoencoders in handling incomplete datasets.

A framework for training machine learning models while protecting privacy.

Generative diffusion models create new data by transforming noise into realistic outputs.

A new method rapidly identifies features in lunar images without extensive human input.

Exploring new methods to improve uncertainty representation in deep learning.

A new method combines neural networks and gradient-free optimization for efficient design.

New methods in deep learning for accurate predictions of nuclear cross sections.

Exploring recent developments in AI tools for music creation.

A new method for detecting vehicle misbehavior while protecting privacy.

Synthetic data offers promising solutions to challenges in medical imaging.

A new method to better analyze image content and transformations.

A new approach to tackle class imbalance using SMOTE and Variational Autoencoders.

Discover the latest trends in visual data processing and coding.

A new model bridges machine learning and neuroscience using discrete spike counts.

New model VPIDM improves clarity of speech in noisy environments.

CV-VAE improves video generation efficiency and quality in existing models.

This article examines generative AI’s potential in time series data generation.

A method to enhance WiFi positioning accuracy by filling in missing signal data.

A new model enhances tumor segmentation in medical imaging despite data limitations.

New method enhances seizure detection in EEG data using machine learning.

A new approach in federated learning captures data dependencies while ensuring privacy.

A new method improves image generation without paired datasets.

TimeAutoDiff offers new solutions for creating realistic synthetic time series data.

A new method enhances phoneme alignment accuracy for various speech applications.

How counterfactual explanations aid molecular behavior prediction and its implications.

New methods improve molecular design by measuring prediction uncertainty.

A straightforward look at Energy-Based Models and their role in generating data.

A study on how VAEs perform across different demographic groups under attack.

V-VIPE enhances 3D pose estimation from 2D images, overcoming angle challenges.

Combining topology optimization and machine learning for efficient photonic component design.

A new method helps robots learn by observing human interactions.

A novel approach to optimizing digital circuit designs using deep learning methods.

Length-Aware Latent Diffusion creates diverse human motions based on textual descriptions.