Research
Publications, preprints, and software
My research focuses on the mathematical foundations of generative modeling, with particular interest in extending diffusion and flow-based methods to general state spaces—including text, sequences, and multi-modal data.
Foundations of Diffusion Models in General State-Spaces
A Self-Contained Introduction
with Tobias Höppe, Kirill Neklyudov, Alexander Tong, Stefan Bauer, Andrea Dittadi
A comprehensive unified foundation of diffusion models on general state spaces, connecting discrete/continuous time and discrete/continuous data.
UNI-D²: Unified Codebase for Discrete Diffusion
with Kalyan Varma Nadimpalli (co-first), Ferdinand Kapl, Amir Mohammad Karimi-Mamaghan, Alexander Tong, Andrea Dittadi, Stefan Bauer
The first unified codebase for training large diffusion language models, enabling reproducible research in discrete diffusion.