3 papers
cs.LG2025
Is Your Conditional Diffusion Model Actually Denoising?
Daniel Pfrommer, Zehao Dou, Christopher Scarvelis +2
We study the inductive biases of diffusion models with a conditioning-variable, which have seen widespread application as both text-conditioned generative image models and observat…
cs.LG2025
Sensitivity Analysis for Diffusion Models
Christopher Scarvelis, Justin Solomon
Training a diffusion model approximates a map from a data distribution to the optimal score function for that distribution. Can we differentiate this map? If we could, th…
cs.CL2022
Relative Position Prediction as Pre-training for Text Encoders
Rickard Brüel-Gabrielsson, Chris Scarvelis
Meaning is defined by the company it keeps. However, company is two-fold: It's based on the identity of tokens and also on their position (topology). We argue that a position-centr…