8 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.LG2024★ 1 cited
Classifier-Free Guidance is a Predictor-Corrector
Arwen Bradley, Preetum Nakkiran
We investigate the theoretical foundations of classifier-free guidance (CFG). CFG is the dominant method of conditional sampling for text-to-image diffusion models, yet unlike othe…
cs.LG2024★ 1 cited
Step-by-Step Diffusion: An Elementary Tutorial
Preetum Nakkiran, Arwen Bradley, Hattie Zhou +1
We present an accessible first course on diffusion models and flow matching for machine learning, aimed at a technical audience with no diffusion experience. We try to simplify the…
cs.LG2023★ 8 cited
What Algorithms can Transformers Learn? A Study in Length Generalization
Hattie Zhou, Arwen Bradley, Etai Littwin +5
Large language models exhibit surprising emergent generalization properties, yet also struggle on many simple reasoning tasks such as arithmetic and parity. This raises the questio…