Publications: Giannis Daras
Download CSV for Giannis Daras
| Title | Year | Citations | Score |
|---|---|---|---|
|
DataComp: In search of the next generation of multimodal datasets
View Details |
2023 | 777 | 99.7% |
|
Datacomp-lm: In search of the next generation of training sets for language models
View Details |
2024 | 359 | 99.6% |
|
Robust compressed sensing mri with deep generative priors
View Details |
2021 | 498 | 99.0% |
|
A survey on diffusion models for inverse problems
View Details |
2024 | 159 | 99.0% |
|
Solving linear inverse problems provably via posterior sampling with latent diffusion models
View Details |
2023 | 164 | 98.6% |
|
Restoration-degradation beyond linear diffusions: A non-asymptotic analysis for ddim-type samplers
View Details |
2023 | 114 | 97.8% |
|
Ambient Diffusion: Learning Clean Distributions from Corrupted Data
View Details |
2023 | 114 | 97.8% |
|
Soft diffusion: Score matching for general corruptions
View Details |
2022 | 138 | 97.1% |
|
Consistent diffusion models: Mitigating sampling drift by learning to be consistent
View Details |
2023 | 75 | 96.4% |
|
Discovering the hidden vocabulary of dalle-2
View Details |
2022 | 114 | 96.4% |
|
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data
View Details |
2024 | 47 | 95.9% |
|
Intermediate layer optimization for inverse problems using deep generative models
View Details |
2021 | 127 | 94.3% |
|
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted Data
View Details |
2024 | 31 | 93.5% |
|
Does generation require memorization? creative diffusion models using ambient diffusion
View Details |
2025 | 12 | 89.7% |
|
Ambient diffusion omni: Training good models with bad data
View Details |
2025 | 11 | 88.6% |
|
Warped diffusion: Solving video inverse problems with image diffusion models
View Details |
2024 | 19 | 88.5% |
|
Multiresolution Textual Inversion
View Details |
2022 | 41 | 87.6% |
|
How much is a noisy image worth? Data Scaling Laws for Ambient Diffusion
View Details |
2024 | 17 | 87.1% |
|
Your local GAN: Designing two dimensional local attention mechanisms for generative models
View Details |
2020 | 86 | 86.6% |
|
Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems
View Details |
2022 | 35 | 85.3% |
|
Smyrf: Efficient attention using asymmetric clustering
View Details |
2020 | 61 | 81.0% |
|
Ambient proteins: Training diffusion models on low quality structures
View Details |
2025 | 6 | 79.9% |
|
Solving inverse problems with ambient diffusion
View Details |
2023 | 8 | 64.6% |
|
Diffem: Learning from corrupted data with diffusion models via expectation maximization
View Details |
2025 | 3 | 61.7% |
|
Single-shot adaptation using score-based models for mri reconstruction
View Details |
2022 | 7 | 44.1% |
|
Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models
View Details |
2025 | 2 | 43.5% |
|
Solving inverse problems with nerfgans
View Details |
2021 | 9 | 38.1% |
|
Intermediate layer optimization for inverse problems using deep generative models
View Details |
2020 | 7 | 26.5% |
|
Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve
View Details |
2022 | 3 | 20.7% |
|
Robust compressed sensing MR imaging with deep generative priors
View Details |
2021 | 2 | 8.2% |
|
Bidding for Influence: Auction-Driven Diffusion Image Generation
View Details |
2025 | 1 | 0.0% |