| 2025 | ICLR | Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data. | Asad Aali, Giannis Daras, Brett Levac, Sidharth Kumar, Alex Dimakis, Jonathan I. Tamir |
| 2025 | ICLR | How Much is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion. | Giannis Daras, Yeshwanth Cherapanamjeri, Constantinos Daskalakis |
| 2025 | ICLR | Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models. | Negin Raoof, Litu Rout, Giannis Daras, Sujay Sanghavi, Constantine Caramanis, Sanjay Shakkottai, Alex Dimakis |
| 2025 | ICML | Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusion. | Kulin Shah, Alkis Kalavasis, Adam R. Klivans, Giannis Daras |
| 2024 | ICML | Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data. | Giannis Daras, Alex Dimakis, Constantinos Daskalakis |
| 2023 | ICML | Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers. | Sitan Chen, Giannis Daras, Alex Dimakis |
| 2022 | ICML | Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems. | Giannis Daras, Yuval Dagan, Alex Dimakis, Constantinos Daskalakis |
| 2021 | ICML | Intermediate Layer Optimization for Inverse Problems using Deep Generative Models. | Giannis Daras, Joseph Dean, Ajil Jalal, Alex Dimakis |
| 2020 | CVPR | Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models. | Giannis Daras, Augustus Odena, Han Zhang, Alexandros G. Dimakis |