Giannis Daras
19 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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(11)
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Venues
Top co-authors
Research topics
Deep Learning
(15)
Machine Learning
(12)
Models
(12)
Computer Vision
(11)
Optimization & Theory
(8)
Artificial Intelligence
(7)
Generation
(6)
Core AI
(5)
Learning Types
(5)
Application Areas
(4)
Core Methods
(4)
Processing
(4)
Bayesian & Probabilistic
(3)
Mathematics & Optimization
(2)
Natural Language Processing
(2)
Keywords
diffusion model
(6)
posterior sampling
(4)
compressed sensing
(3)
noisy data
(3)
inverse problem
(3)
generative model
(3)
image generation
(3)
ambient diffusion
(3)
image restoration
(2)
data filtering
(2)
generative prior
(2)
generative modeling
(2)
generative adversarial network
(2)
memorization
(2)
attention mechanism
(1)
model robustness
(1)
zero-shot learning
(1)
natural language processing
(1)
langevin dynamics
(1)
local attention
(1)
Papers
Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data
ICLR 2025
Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusion
ICML 2025
How Much is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion.
ICLR 2025
Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models
ICLR 2025
Opt-In Art: Learning Art Styles Only from Few Examples
NeurIPS 2025
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data
ICML 2024
DataComp-LM: In search of the next generation of training sets for language models
NeurIPS 2024
Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models
NeurIPS 2024
Ambient Diffusion: Learning Clean Distributions from Corrupted Data
NeurIPS 2023
Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent
NeurIPS 2023
DataComp: In search of the next generation of multimodal datasets
NeurIPS 2023
Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers
ICML 2023
Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models
NeurIPS 2023
Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve
NeurIPS 2022
Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems
ICML 2022
Intermediate Layer Optimization for Inverse Problems using Deep Generative Models
ICML 2021
Robust Compressed Sensing MRI with Deep Generative Priors
NeurIPS 2021
SMYRF - Efficient Attention using Asymmetric Clustering
NeurIPS 2020
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models
CVPR 2020