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Experts analyze COVID-19's impact on financial markets, discussing Treasury market disruptions, central counterparty resilience, and government interventions in the mortgage sector.
Explore innovative ML techniques for extreme weather forecasting, leveraging FourCastNet algorithm to generate massive ensembles with high accuracy and efficiency, revolutionizing atmospheric dynamics modeling.
Explore sparsity, compressive sensing, and l1 optimization's impact on science, technology, and machine learning. Learn fast algorithms and applications in PDE, data collection, and image processing.
Explore explicit solutions for stochastic control problems in continuous time systems, including linear quadratic control and controlled Brownian motion, with applications to infinite-dimensional spaces.
Explore mathematical techniques for reconstructing planar conductivity inclusions using generalized polarization tensors and Riemann mapping coefficients in this advanced applied mathematics seminar.
Explore directed mean curvature flow in noisy environments and its connection to the KPZ equation through advanced mathematical analysis and stochastic PDEs.
Explore cell polarization modeling through diffusion equations and reaction-diffusion systems. Discover obstacle-type problems, steady-state stability, and polarization onset parameters in this mathematical biology seminar.
Explore quantum dynamics and optimal transport with François Golse, discussing the application of Monge's theory to quantum states and its implications for mean-field and classical limits in quantum mechanics.
Explore advanced techniques in blind image deblurring, including surface-aware strategies and Quaternion-based methods for color image restoration, with applications in text and natural image processing.
Explore symmetry in determinantal polynomials, from historical roots to modern applications. Discover representations of plane curves and connections to the principal minor map in this advanced mathematics seminar.
Explore graph-based approaches for reduced-order reservoir simulation, comparing interwell methods like GPSNet with CGNet, which mimics 3D grid connections. Learn about their setup, training, and generalization capabilities.
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.
Exploring orthogonality sampling methods for electromagnetic inverse scattering problems, focusing on implementation simplicity, noise robustness, and applications in 2D and 3D experimental data.
Explore recent developments in completely integrable nonlinear dispersive PDE, including a priori bounds, orbital stability, well-posedness, and Gibbs distributed initial data dynamics.
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.
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