A growing fraction of modern generative modeling can be viewed through a common lens: learning a flow that transports a simple distribution into the data distribution. This spans deterministic dynamics (including ODE-based flows) and stochastic dynamics (including diffusion and score models), with deep connections to ideas in optimal transport. This workshop brings together researchers working on the mathematical and algorithmic foundations of these models to explore the frontier of flows and generative modeling, and to identify key open problems that will drive the next generation of advances.
The workshop will consist of featured talks, lightning talks, and panel discussions on the frontiers of flows and generative AI. The goal is to surface emerging ideas and identify key open problems for the field.
Registration is now open! The registration fee is $20 for CMU students and $35 for general admission.
Carnegie Museum of Art Theater
4400 Forbes Avenue, Pittsburgh, PA
Tentative schedule
| Time | Event |
|---|---|
| 9:00 - 9:30 | Welcome / Networking |
| 9:30 - 10:30 | Kickoff Panel |
| 10:30 - 11:15 | Featured Talk: Michael Albergo (Harvard) |
| 11:15 - 12:00 | Featured Talk: Mengyu Wang (Harvard) |
| 12:00 - 1:30 | Lunch |
| 1:30 - 2:45 | Invited Lecture: Andrej Risteski (CMU) |
| 2:45 - 3:30 | Featured Talk: Aditi Raghunathan (CMU) |
| 3:30 - 3:45 | Break / Networking |
| 3:45 - 4:30 | Featured Talk: Danilo Comminiello (Sapienza University of Rome) |
| 4:30 - 5:00 | Lightning Talks (TBA) |
| Time | Event |
|---|---|
| 9:00 - 10:00 | Lightning Talks (TBA) |
| 10:00 - 10:30 | Break / Networking |
| 10:30 - 11:15 | Featured Talk: Michal Balcerak (University of Zurich) |
| 11:15 - 12:00 | Featured Talk: Aviral Kumar (CMU) |
| 12:00 - 1:30 | Lunch |
| 1:30 - 2:45 | Invited Lecture: Sanjay Shakkottai (UT Austin) |
| 2:45 - 3:30 | Featured Talk: Yutong (Kelly) He (CMU) |
| 3:30 - 4:00 | Break / Networking |
| 4:00 - 5:00 | Closing Panel: Open Problems |
The workshop takes place at the Carnegie Museum of Art, located right next to the CMU campus. We recommend staying near CMU/University of Pittsburgh, though Downtown and other nearby areas also offer nice options.