Grounding Diffusion Models: The Path to Reliable Synthesis Without Hallucination

Name: Grounding Diffusion Models: The Path to Reliable Synthesis Without Hallucination
Uploaded: 2026-10-07T05:33:02Z
Duration: 42 min 55 s
Channel: Simons Institute for the Theory of Computing
Description: Grigorios Chrysos discusses methods for grounding diffusion models to achieve reliable image synthesis and prevent hallucinations.

Simons Institute for the Theory of Computing

77K subscribers • 30 videos on Hallway • University channel

YouTube

One of the most-watched uploads on Simons Institute, a conference or university channel Hallway lists. Nobody has recommended it in the communities yet, so it ranks below community picks.
Presented by Grigorios Chrysos, University of Wisconsin-Madison

Advanced. Deep dive for people who know the field.

7K views3 weeks ago

AI and machine learning Neural networks and deep learning AI safety and impact

Grigorios Chrysos discusses methods for grounding diffusion models to achieve reliable image synthesis and prevent hallucinations.

Grigorios Chrysos (University of Wisconsin-Madison) simons.berkeley.edu/talks/grigorios-chrysos-university-wisco… Trustworthy AI: From Hallucinations to Reliable Autonomy

Why it's here

A top upload from a listed channel

Simons 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.