Applied and Computational Math Seminars
Feb 11 2025 |
| Nick Dexter (FSU) |
| Sample-Efficient Active Learning Strategies for Deep Learning in Scientific Computing |
| ACM seminar |
| Time: 3:05 pm |
| Location: 0231 |
Active learning is an important topic in machine learning for scientific computing in which learning algorithms can query ground truth data selectively to enhance model accuracy. This is increasingly ... More |
Feb 25 2025 |
| Haoyang Qian (FSU) |
| Dense communities drive epidemic spreading in structured populations |
| ACM seminar |
| Time: 3:05 pm |
| Location: 0231 |
The recent outbreaks of COVID-19, Zika, Ebola, and influenza have reignited interest in refining epidemic models to better capture the complexities of disease spreading. Modern approaches go beyond cl... More |
Mar 18 2025 |
| Yuanzhe Xi (Emory) |
| Multiscale Neural Networks for Approximating Green's Functions |
| ACM |
| Time: 3:05 pm |
| Location: 0231 |
Neural networks have emerged as a powerful tool for solving partial differential equations (PDEs) in physics, biology, and engineering. A notable approach involves learning Green’s functions for PDE... More |
Mar 25 2025 |
| Savvas Sardelis (FSU) |
| Pure-quartic solitons with PT-symmetric nonlinearity |
| ACM seminar |
| Time: 3:05 pm |
| Location: 0231 |
The idea of having solitary waves in Kerr nonlinear media arising in the presence of only quartic dispersion was briefly theoretically considered in the early 90\'s and then almost forgotten until its... More |
Apr 1 2025 |
| Meet Parikh (University of Notre Dame) |
| Conditional neural field latent diffusion modeling for spatiotemporal turbulence modeling |
| ACM seminar |
| Time: 3:05 pm |
| Location: 0231 |
Simulating complex, unsteady turbulent flows with high fidelity is critical across science and engineering, yet traditional methods like Direct Numerical Simulation (DNS) and Large Eddy ... More |