A policy that factorizes into modality-specific diffusion models combined by a learned router network for adaptive multi-modal robotic manipulation.
Denoising diffusion probabilistic models
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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UNVERDICTED 2representative citing papers
Lightweight regularizers cut Fokker-Planck residuals in diffusion models nearly as well as expensive full penalties, at far lower compute cost and with no clear loss in sample quality.
citing papers explorer
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Multi-Modal Manipulation via Multi-Modal Policy Consensus
A policy that factorizes into modality-specific diffusion models combined by a learned router network for adaptive multi-modal robotic manipulation.
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An Analysis of Regularization and Fokker-Planck Residuals in Diffusion Models for Image Generation
Lightweight regularizers cut Fokker-Planck residuals in diffusion models nearly as well as expensive full penalties, at far lower compute cost and with no clear loss in sample quality.