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Stefano Ermon

Explore Stefano Ermon on AI.info.

• GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning
• Neural Nonmyopic Bayesian Optimization in Dynamic Cost Settings
• Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment
• Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective
• MeanFlow Transformers with Representation Autoencoders