Giannis Daras

DiffEM: Learning from Corrupted Data with Diffusion Models via Expectation Maximization

Ambient Dataloops: Generative Models for Dataset Refinement

Bidding for Influence: Auction-Driven Diffusion Image Generation

Align & Invert: Solving Inverse Problems with Diffusion and Flow-based Models via Representational Alignment

Ambient Proteins - Training Diffusion Models on Noisy Structures

Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data

Ambient Diffusion Omni: Training Good Models with Bad Data

How Much is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion.

Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models

Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusion