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Greening the Economy: Sustainable Cities
Introduction to Graphic Illustration
Computational Social Science Methods
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Self-supervised deep learning approach for image recovery, focusing on dataset-free methods. Explores Bayesian deep networks, uncertainty prediction, and applications in compressive sensing, outperforming traditional methods.
Virtual talks on belief estimation in LQG mean field games and personalized robo-advising for enhanced investment through client interaction. Explores advanced mathematical models in financial markets and automated investment strategies.
Explore private information retrieval in coded storage systems, focusing on algebraic-geometric codes and star product schemes for adjustable storage overhead and server collusion protection.
Explore nonlinear spectral decompositions in imaging and inverse problems, covering variational theory, applications, and computational methods for nonlinear eigenfunctions.
Exploration of shock formation and vorticity creation in compressible Euler equations, featuring constructive proofs, self-similar variables, and analysis of singularities in multiple dimensions.
Explore X-ray CT imaging, artifact suppression techniques, and recent advancements in metal and scattering artifact reduction for improved medical and industrial applications.
Explores recent advances in rational approximation theory for numerical computation, focusing on "AAA" and "lightning" algorithms for solving PDEs in complex domains with singularities.
Explore portfolio optimization with stochastic factors, focusing on approximation accuracy for value functions and strategies in multiscale environments. Covers regular and singular perturbations with various utility functions.
Explore machine learning's decision-making aspects, focusing on statistical and economic challenges in multiple decision-making, scarcity, and competition through dynamical systems perspectives.
Explore data-driven market simulation using deep learning, focusing on small data environments. Learn about generative models, rough paths, and their applications in financial time series analysis.
Pixar engineer explores mathematical techniques behind computer-animated effects, including dynamic simulations for clothing, hair, and 3D interactive animation, showcasing real-world applications in film production.
Explore reduced models for porous media flow, focusing on simple models, interfaces, and intersection fractions with practical examples and applications.
Explore multi-scale approaches to global ocean climate modeling, focusing on mimetic methods, Voronoi tessellations, and simulations of ocean systems like the North Atlantic.
Explore advanced techniques for simulating fractured reservoirs, including dual-porosity models, unstructured grids, and probabilistic approaches to enhance flow prediction and reservoir management.
Explore seismic inverse problems, wave propagation, and modern exploration methods. Learn about FWI, wave bath tomography, and extended Born operators for improved subsurface imaging.
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