Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models. - Giannis Daras; Augustus Odena; Han Zhang 010; Alexandros G. Dimakis (CVPR, 2020)

SMYRF - Efficient Attention using Asymmetric Clustering. - Giannis Daras; Nikita Kitaev; Augustus Odena; Alexandros G. Dimakis (NeurIPS, 2020)

Intermediate Layer Optimization for Inverse Problems using Deep Generative Models. - Giannis Daras; Joseph Dean; Ajil Jalal; Alex Dimakis (ICML, 2021)

Robust Compressed Sensing MRI with Deep Generative Priors. - Ajil Jalal; Marius Arvinte; Giannis Daras; Eric Price 001; Alexandros G. Dimakis; Jonathan I. Tamir (NeurIPS, 2021)

Solving Inverse Problems with NerfGANs. - Giannis Daras; Wen-Sheng Chu; Abhishek Kumar; Dmitry Lagun; Alexandros G. Dimakis (CoRR, 2021)

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

Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve. - Giannis Daras; Negin Raoof; Zoi Gkalitsiou; Alex Dimakis (NeurIPS, 2022)

Discovering the Hidden Vocabulary of DALLE-2. - Giannis Daras; Alexandros G. Dimakis (CoRR, 2022)

Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems. - Giannis Daras; Yuval Dagan; Alexandros G. Dimakis; Constantinos Daskalakis (CoRR, 2022)

Multiresolution Textual Inversion. - Giannis Daras; Alexandros G. Dimakis (CoRR, 2022)

Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers. - Sitan Chen; Giannis Daras; Alex Dimakis (ICML, 2023)

Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent. - Giannis Daras; Yuval Dagan; Alex Dimakis; Constantinos Daskalakis (NeurIPS, 2023)

Ambient Diffusion: Learning Clean Distributions from Corrupted Data. - Giannis Daras; Kulin Shah; Yuval Dagan; Aravind Gollakota; Alex Dimakis; Adam R. Klivans (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 001; Eyal Orgad; Rahim Entezari; et al. (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 (NeurIPS, 2023)

Soft Diffusion: Score Matching with General Corruptions. - Giannis Daras; Mauricio Delbracio; Hossein Talebi; Alex Dimakis; Peyman Milanfar (Trans. Mach. Learn. Res., 2023)

Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data. - Giannis Daras; Alex Dimakis; Constantinos Daskalakis (ICML, 2024)

Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models. - Giannis Daras; Weili Nie; Karsten Kreis; Alex Dimakis; Morteza Mardani; Nikola B. Kovachki; Arash Vahdat (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 Yitzhak Gadre; Hritik Bansal; Etash Kumar Guha; Sedrick Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)

A Survey on Diffusion Models for Inverse Problems. - Giannis Daras; Hyungjin Chung; Chieh-Hsin Lai; Yuki Mitsufuji; Jong Chul Ye; Peyman Milanfar; Alexandros G. Dimakis; Mauricio Delbracio (CoRR, 2024)

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 (ICLR, 2025)

How Much is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion. - Giannis Daras; Yeshwanth Cherapanamjeri; Constantinos 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 (ICLR, 2025)

Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusion. - Kulin Shah; Alkis Kalavasis; Adam R. Klivans; Giannis Daras (CoRR, 2025)

Ambient Diffusion Omni: Training Good Models with Bad Data. - Giannis Daras; Adrián Rodríguez-Muñoz; Adam R. Klivans; Antonio Torralba 001; Constantinos Daskalakis (CoRR, 2025)