[Eoas-seminar] [Seminar-announce] Scientific Computing Colloquium with Feng Bao

[eoas-seminar at lists.fsu.edu]

"Generative Machine Learning Models for Uncertainty Quantification"

Feng Bao
Timothy Gannon Endowed Associate Professor of Mathematics
Department of Mathematics, Florida State University

Please feel free to forward/share this invitation with other groups/disciplines that might be interested in this talk/topic. All are welcome to attend.

NOTE: In-person attendance is requested. Zoom access is intended for external (non-departmental) participants only.

https://fsu.zoom.us/j/94273595552<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Ffsu.zoom.us%2Fj%2F94273595552&data=05%7C02%7Csc-seminar-announce%40lists.fsu.edu%7C640f7ed3de7e426a983508dc4f4c2349%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C638472435618689648%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=SsPVpVs8EVVaRaJ6YvfrXygSsfcI5NqGYZ0KK%2Fo2CoI%3D&reserved=0>
Meeting # 942 7359 5552

🎦 Colloquium recordings will be made available here, sc.fsu.edu/colloquium<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sc.fsu.edu%2Fcolloquium&data=05%7C02%7Csc-seminar-announce%40lists.fsu.edu%7C640f7ed3de7e426a983508dc4f4c2349%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C638472435618845910%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=Ha4a0IzQSBg2CzVyIMXi%2BDZe7LQB61iKRsU%2BOP7G%2FWk%3D&reserved=0>

Wednesday, Apr 3, 2024, Schedule:

* 3:00 to 3:30 PM Eastern Time (US and Canada)
☕ Nespresso & Teatime - 417 DSL Commons

* 3:30 to 4:30 PM Eastern Time (US and Canada)
🕟 Colloquium - 499 DSL Seminar Room

Abstract:
Generative machine learning models, including variational auto-encoders (VAE), normalizing flows (NF), generative adversarial networks (GANs), diffusion models, have dramatically improved the quality and realism of generated content, whether it's images, text, or audio. In science and engineering, generative models can be used as powerful tools for probability density estimation or high-dimensional sampling that critical capabilities in uncertainty quantification (UQ), e.g., Bayesian inference for parameter estimation. Studies on generative models for image/audio synthesis focus on improving the quality of individual sample, which often make the generative models complicated and difficult to train. On the other hand, UQ tasks usually focus on accurate approximation of statistics of interest without worrying about the quality of any individual sample, so direct application of existing generative models to UQ tasks may lead to inaccurate approximation or unstable training process. To alleviate those challenges, we developed several new generative diffusion models for various UQ tasks, including diffusion-model-assisted supervised learning of generative models, a score-based nonlinear filter for recursive Bayesian inference, and a training-free ensemble score filter for tracking high dimensional stochastic dynamical systems. We will demonstrate the effectiveness of those methods in various UQ tasks including density estimation, learning stochastic dynamical systems, and data assimilation problems.

Additional colloquium details can be found here,
sc.fsu.edu/news-and-events/colloquium/1778-colloquium-with-feng-bao-2024-04-03<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sc.fsu.edu%2Fnews-and-events%2Fcolloquium%2F1778-colloquium-with-feng-bao-2024-04-03&data=05%7C02%7Csc-seminar-announce%40lists.fsu.edu%7C640f7ed3de7e426a983508dc4f4c2349%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C638472435618845910%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=O%2FJNy878F%2BXQ8e90slANreJQiXP64ZfgR%2FmzveX3thU%3D&reserved=0>

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://lists.fsu.edu/pipermail/eoas-seminar/attachments/20240328/f8d82e07/attachment.html>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: not available
Type: text/calendar
Size: 5865 bytes
Desc: not available
URL: <http://lists.fsu.edu/pipermail/eoas-seminar/attachments/20240328/f8d82e07/attachment.ics>
-------------- next part --------------
_______________________________________________
SC-Seminar-announce mailing list
SC-Seminar-announce at lists.fsu.edu
https://lists.fsu.edu/mailman/listinfo/sc-seminar-announce