Society for Industrial and Applied Mathematics Courses

Symmetry and Uniqueness in Nonlocal PDEs - A Variational Approach

Explore symmetry and uniqueness in nonlocal PDEs using variational approaches. Yao Yao discusses recent progress in aggregation-diffusion equations and 2D Euler equations, focusing on steady states and radial symmetry.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Orthogonality Sampling Methods for Electromagnetic Inverse Scattering Problems

Exploring orthogonality sampling methods for electromagnetic inverse scattering problems, focusing on implementation simplicity, noise robustness, and applications in 2D and 3D experimental data.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Determinants, Commuting Flows, and Recent Progress on Completely Integrable Systems

Explore recent developments in completely integrable nonlinear dispersive PDE, including a priori bounds, orbital stability, well-posedness, and Gibbs distributed initial data dynamics.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Convergence and Non-Convergence of Algebraic Iterative Reconstruction Methods - Imaging and Inverse Problems Seminar

Exploring convergence issues in algebraic iterative reconstruction methods for X-ray CT, presenting theoretical results and novel approaches to address non-convergence in limited-angle and limited-data scenarios.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Shape Optimization Approach for Sharp-Interface Reconstructions in Inverse Problems

Shape optimization techniques for inverse problems: analyzing piecewise constant models, shape derivatives, and Lagrangian approaches. Applications in electrical impedance tomography and full waveform inversion.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

I Can See Clearer Now: The Optimal Regularization Parameter - Imaging and Inverse Problems Seminar

Explore automatic regularization parameter selection in image restoration, focusing on space-invariant blur and Gaussian noise. Learn about residual whiteness principle and its application to various variational models.

• YouTube
• 1 hour 7 minutes
• Self-Paced
• Free Video

Surviving a Ph.D. and Career Options in Data Mining - Doctoral Forum Panel

Expert panel discusses strategies for Ph.D. success and post-doctoral career paths in academia, industry, and research labs, offering valuable insights for data mining doctoral students.

• YouTube
• 1 hour 58 minutes
• Self-Paced
• Free Video

Normalization Effects on Neural Networks: Generalization and High-Dimensional Applications - SIAM FME Talk

Exploring neural network performance, normalization effects, and high-dimensional PDE solving using deep learning. Insights on generalization properties and applications in mathematical finance.

• YouTube
• 57 minutes
• Self-Paced
• Free Video

Analytical Aspects of Emergent Dynamics in Systems of Collective Behavior

Explore analytical aspects of emergent dynamics in collective behavior systems, focusing on alignment dynamics in disconnected flocks and new approaches using topological fractional diffusion and random fluctuations.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Can You Hear the Will of the People in the Vote? Assessing Fairness in Redistricting - 2021 I. E. Block Community Lecture

Exploring gerrymandering, fairness in redistricting, and the impact of geopolitical geometry on electoral representation through Monte Carlo sampling and mathematical analysis.

• YouTube
• 1 hour
• Self-Paced
• Free Video

Mathematics of Genome Packing and Regulation

Explore the mathematics of genome organization and its impact on gene expression through geometric packing models and deep learning, with insights on 3D genome reconstruction and autoencoder applications in genomics.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

Gaussian Lower Bounds for the Boltzmann Equation Without Cut-off - SIAM PDE Seminar

Explore Gaussian lower bounds for the Boltzmann equation, examining particle density evolution in gases and conditional estimates for solving global well-posedness challenges in fluid dynamics.

• YouTube
• 1 hour
• Self-Paced
• Free Video

A Bregman Learning Framework for Sparse Neural Networks

Explore a novel Bregman learning framework for training sparse neural networks, featuring LinBreg, momentum-accelerated, and AdaBreg algorithms, with applications in Neural Architecture Search.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Signal Recovery with Generative Priors - SIAM-IS Virtual Seminar

Explore signal recovery using generative priors in imaging, discussing neural network models, recovery guarantees, and applications in compressed sensing and phase retrieval.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Model Error in CT Reconstruction with Uncertain View Angles

Explore innovative methods for handling model errors in inverse problems, focusing on CT reconstruction with uncertain view angles and improving image quality through uncertainty quantification.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video