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

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Yang Song

OpenAI
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Tali Dekel

Weizmann Institute of Science, Google
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Karsten Kreis

NVIDIA Research
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Brian Trippe

Columbia University
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Jason Yim

MIT


Lightning Talks

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Holden Lee

John Hopkins University
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Hyungjin Chung

KAIST
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Shuang Li

MIT
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Gowthami Somepalli

University of Maryland


Panel

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Arash Vahdat

NVIDIA Research
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Ruiqi Gao

Google
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Sander Dieleman

Google DeepMind
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Robin Rombach

Stability AI

Organizers

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Valentin De Bortoli

ENS Paris
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Charlotte Bunne

ETH Zurich
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Bahjat Kawar

Apple
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Chenlin Meng

Stanford
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Jiaming Song

Luma AI
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James Thornton

Apple
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Jong Chul Ye

KAIST


Questions

Contact us at [email protected].