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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 automated upscaling techniques for multiscale systems modeling, focusing on Symbolica software for rapid model development in complex energy and geologic systems.
Explore supercomputing software evolution, data locality challenges, and innovative solutions for post-Moore era. Learn about multicore architectures, heterogeneous computing, and emerging trends in high-performance computing.
Explore optimal algorithms for parallel paging, addressing cache sharing among processors. Discover connections to green paging and learn about O(log p)-competitive algorithms for both problems.
Explore decentralized finance exchanges, focusing on Automated Market Makers. Learn about their market structure, pricing functions, and impact on liquidity providers and arbitrageurs through game theory and data analysis.
Explore model invariants and functional regularization in quantitative finance. Learn about regression, MLE, Bayesian estimation, and new approaches to improve model robustness and interpretability in data analysis.
Explore recent advances in dynamic graph algorithms, covering theoretical analysis and empirical evaluations for efficiently handling edge deletions and insertions in evolving graph models.
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