Breakthroughs in diffusion models presented at ICML

Our CTO, Lorenz Richter, recently attended the International Conference on Machine Learning (ICML) in Vienna.
At the conference, Lorenz presented our paper, "Bridging Discrete and Continuous State Spaces: Exploring the Ehrenfest Process in Time-Continuous Diffusion Models."

The paper made significant strides in advancing the understanding of generative AI by examining time-continuous discrete-space diffusion models. It established a connection between these models and the widely-used score-based generative modeling, which is prominently applied in image generation.

You can read the paper here.