Workshop on Diffusion Models

Workshop at the Conference on Neural Information Processing Systems (NeurIPS) 2023

Over the past three years, diffusion models have established themselves as a new generative modelling paradigm. Their empirical successes have broadened the applications of generative modelling to image, video, audio, 3D synthesis and science applications. As diffusion models become more and more popular and are applied to extremely diverse problems, it also becomes harder to track the key contributions in the field. This workshop aims to keep track of the recent advances and set guidelines for future research. By bringing together practice, methodology and theory actors we aim at identifying unexplored areas and pushing the frontier of diffusion model research.

The workshop will be held on Friday 15th December 2023 in Hall B1 (ground floor) - we look forward to seeing you in New Orleans!

Ask questions to our panelists here
We would like to thank Apple and NVIDIA for sponsoring the workshop (and providing prizes - to be announced!)

Keynote Speakers

Yang Song


Tali Dekel

Weizmann Institute of Science, Google

Karsten Kreis

NVIDIA Research

Brian Trippe

Columbia University

Jason Yim


Lightning Talks

Holden Lee

John Hopkins University

Hyungjin Chung


Shuang Li


Gowthami Somepalli

University of Maryland


Arash Vahdat

NVIDIA Research

Ruiqi Gao


Sander Dieleman

Google DeepMind

Robin Rombach

Stability AI


Valentin De Bortoli

ENS Paris

Charlotte Bunne

ETH Zurich

Bahjat Kawar


Chenlin Meng


Jiaming Song

Luma AI

James Thornton


Jong Chul Ye



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