2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2026
LatentVerse: A Framework for Understanding Shared and Modality-Specific Information in Multimodal Latent Representations
Majd Alafrange, Samuel Friedman, John Kitonyo +2
Latent embeddings have become a central data abstraction in modern machine learning, especially in biomedicine, where foundation models are increasingly used to encode multimodal d…
cs.LG2023★ 2 cited
Latent Space Explorer: Visual Analytics for Multimodal Latent Space Exploration
Bum Chul Kwon, Samuel Friedman, Kai Xu +5
Machine learning models built on training data with multiple modalities can reveal new insights that are not accessible through unimodal datasets. For example, cardiac magnetic res…