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#diffusionmodels#energy-basedmodels#compositionalreasoning
Compositional Reasoning with Diffusion Models
Simons Institute for the Theory of Computing
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- Presented by Yilun Du, Harvard University
Advanced. Deep dive for people who know the field.
6.2K views2 months ago
AI and machine learningNeural networks and deep learningAI agents and tool use
Yilun Du explains how diffusion and energy-based models can be composed to solve complex symbolic reasoning and planning tasks.
Yilun Du (Harvard University) simons.berkeley.edu/talks/yilun-du-harvard-university-2026-0… Diffusion Generative Modeling: Progress and Next Steps I'll present how we can use diffusion models and closely related energy-based models to solve different reasoning tasks. I'll talk about how these models naturally enable us to implement search at inference time, and how these models can be composed together to solve more complex reasoning questions. Finally, I'll empirically illustrate how such a reasoning system allows us to solve a number of complex symbolic reasoning and decision-making/planning tasks.Why it's here
A top upload from a listed channelSimons Institute is on Hallway's list of conference and university channels, and this upload is one of its most-watched talks or lectures. Nobody has recommended it in the communities yet, so it ranks below community picks.