We are happy to announce the mini-symposium entitled “Machine Learning Advances in Scientific Computing and Applications“, which will be held at the upcoming SIAM Conference on Mathematics of Data Science (MDS24), October 21 – 25, 2024, Atlanta, GA.

The mini-symposium will highlight important recent advances in ML that have been accelerating scientific computing and its applications across various scientific domains. The mini-symposium is co-organized by Dr. Youngjoon Hong (KAIST) and Dr. Byung-Jun Yoon (Texas A&M and Brookhaven National Lab) and it will feature the following presentations:

• Neural-network Based Collision Operators for the Boltzmann Equation
  Speaker: Eric C. Cyr (Sandia National Laboratories)
• Generative Downscaling of PDE Solvers with Physics-guided Diffusion Models
  Speaker: Wuzhe Xu (University of Massachusetts)
• Signal Processing with Implicit Neural Fields: Editing, Manipulation, and Understanding
  Speaker: Peihao Wang (University of Texas at Austin)
• Autoequivariant Network Search via Group Decomposition
  Speaker: Lav Varshney (University of Illinois Urbana-Champaign)

For further information about the mini-symposium, please visit the URL below:
https://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=80426