IEEE

Variational Bayesian Adaptive Learning of Deep Latent Variables for Acoustic Knowledge Transfer

Abstract: In this work, we propose a novel variational Bayesian adaptive learning approach for cross-domain knowledge transfer to address acoustic mismatches between training and testing conditions, ...
IEEE

Fusing Multimodality of Large Language Models and Satellite Imagery via Simplicial Contrastive Learning for Latent Urban Feature Identification and Environmental Application

Abstract: Satellite imagery is a readily available data source for monitoring a broad range of urban geographical contexts related to environmental, socio-demographic, and health disparities. To ...
Frontiers

Peer Collaborative Learning and Academic Engagement in University Libraries: A Moderated Mediation Model and Latent Profile Analysis

The final, formatted version of the article will be published soon. Objective: As university libraries transform into "Learning Commons," peer collaborative learning has become increasingly common.
GitHub

Leoxu3/latent-neural-simulator

We study whether a neural model can replace an explicit physics simulator by learning dynamics directly from visual observations. The framework couples a VAE for image–latent translation with a causal ...
Hosted on MSN

Supervised learning made easy: Real-world example explained

In this video, we will study Supervised Learning with Examples. We will also look at types of Supervised Learning and its applications. Supervised learning is a type of Machine Learning which learns ...