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20232025
most citedUsing Diffusion Models to Generate Synthetic Labelled Data for Medical Image Segmentation

1 citations · 1 across the 4 of their papers we have counts for

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cs.LG2025

Flows and Diffusions on the Neural Manifold

Daniel Saragih, Deyu Cao, Tejas Balaji

Diffusion and flow-based generative models have achieved remarkable success in domains such as image synthesis, video generation, and natural language modeling. In this work, we ex…

cs.LG2025

Flow to Learn: Flow Matching on Neural Network Parameters

Daniel Saragih, Deyu Cao, Tejas Balaji +1

Foundational language models show a remarkable ability to learn new concepts during inference via context data. However, similar work for images lag behind. To address this challen…