Daras, Giannis

25 publications

NeurIPS 2025 Ambient Diffusion Omni: Training Good Models with Bad Data Giannis Daras, Adrian Rodriguez-Munoz, Adam Klivans, Antonio Torralba, Constantinos Costis Daskalakis

ICLR 2025 Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data Asad Aali, Giannis Daras, Brett Levac, Sidharth Kumar, Alex Dimakis, Jon Tamir

NeurIPS 2025 Ambient Proteins - Training Diffusion Models on Noisy Structures Giannis Daras, Jeffrey Ouyang-Zhang, Krithika Ravishankar, Constantinos Costis Daskalakis, Adam Klivans, Daniel Jesus Diaz

ICML 2025 Does Generation Require Memorization? Creative Diffusion Models Using Ambient Diffusion Kulin Shah, Alkis Kalavasis, Adam Klivans, Giannis Daras

ICLR 2025 How Much Is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion. Giannis Daras, Yeshwanth Cherapanamjeri, Constantinos Costis Daskalakis

ICLR 2025 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

ICML 2024 Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data Giannis Daras, Alex Dimakis, Constantinos Costis Daskalakis

NeurIPS 2024 DataComp-LM: In Search of the Next Generation of Training Sets for Language Models Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Gadre, Hritik Bansal, Etash Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Chandu, Thao Nguyen, Igor Vasiljevic, Sham Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar

NeurIPS 2024 Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models Giannis Daras, Weili Nie, Karsten Kreis, Alexandros G. Dimakis, Morteza Mardani, Nikola B. Kovachki, Arash Vahdat

NeurIPS 2023 Ambient Diffusion: Learning Clean Distributions from Corrupted Data Giannis Daras, Kulin Shah, Yuval Dagan, Aravind Gollakota, Alex Dimakis, Adam Klivans

NeurIPS 2023 Consistent Diffusion Models: Mitigating Sampling Drift by Learning to Be Consistent Giannis Daras, Yuval Dagan, Alex Dimakis, Constantinos Daskalakis

NeurIPS 2023 DataComp: In Search of the Next Generation of Multimodal Datasets Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei W Koh, Olga Saukh, Alexander J Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt

ICML 2023 Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis for DDIM-Type Samplers Sitan Chen, Giannis Daras, Alex Dimakis

TMLR 2023 Soft Diffusion: Score Matching with General Corruptions Giannis Daras, Mauricio Delbracio, Hossein Talebi, Alex Dimakis, Peyman Milanfar

NeurIPSW 2023 Solving Inverse Problems with Ambient Diffusion Giannis Daras, Alex Dimakis

NeurIPS 2023 Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alex Dimakis, Sanjay Shakkottai

NeurIPSW 2022 Discovering the Hidden Vocabulary of DALLE-2 Giannis Daras, Alex Dimakis

NeurIPSW 2022 Multiresolution Textual Inversion Giannis Daras, Alex Dimakis

NeurIPS 2022 Multitasking Models Are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve Giannis Daras, Negin Raoof, Zoi Gkalitsiou, Alex Dimakis

ICML 2022 Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems Giannis Daras, Yuval Dagan, Alex Dimakis, Constantinos Daskalakis

ICML 2021 Intermediate Layer Optimization for Inverse Problems Using Deep Generative Models Giannis Daras, Joseph Dean, Ajil Jalal, Alex Dimakis

NeurIPSW 2021 Robust Compressed Sensing MR Imaging with Deep Generative Priors Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alex Dimakis, Jonathan Tamir

NeurIPS 2021 Robust Compressed Sensing MRI with Deep Generative Priors Ajil Jalal, Marius Arvinte, Giannis Daras, Ecprice, Alexandros G Dimakis, Jon Tamir

NeurIPSW 2020 Intermediate Layer Optimization for Inverse Problems Using Deep Generative Models Joseph Dean, Giannis Daras, Alex Dimakis

NeurIPS 2020 SMYRF - Efficient Attention Using Asymmetric Clustering Giannis Daras, Nikita Kitaev, Augustus Odena, Alexandros G Dimakis