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Greening the Economy: Sustainable Cities
Introduction to Graphic Illustration
Computational Social Science Methods
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Explore optimization, complexity, and mathematics with Avi Wigderson. Delve into perfect matchings, symbolic matrices, and operator scaling, connecting diverse areas of mathematics and computer science.
Virtual talk series exploring optimal transport theory in Kyle's model of informed trading, featuring connections to conjugate duality, multi-asset extensions, and implications for risk-averse market makers in financial markets.
Explore multivariate cryptography, Gröbner bases, and polynomial system solving complexity. Gain insights into linear-algebra-based methods and their impact on cryptographic security.
Explore applications of Bernstein's Other Theorem in polynomial systems, focusing on non-general yet Bernstein-general cases from various fields, and their optimal solution methods.
Explore image denoising theory, its properties, and applications as building blocks for broader image processing tasks and inverse problem regularization.
Explores stability and discretization techniques for elliptic inverse parameter problems in elastography, focusing on shear modulus recovery in biological tissues for breast tumor detection. Discusses theoretical challenges and practical solutions.
Explore DeepSet networks for solving symmetric problems in high-dimensional PDEs and control, with applications in finance and mean-field control. Learn about their advantages and performance in various scenarios.
Explore image vectorization, decomposition, and PDE identification techniques. Learn about silhouette extraction, image separation, and differential equation recovery from discrete data.
Explore scattering theory's spectral problems, focusing on poles, non-scattering frequencies, and transmission eigenvalues. Learn how these relate to scattering operators and material properties in inhomogeneous media.
Explore a mathematician's journey to Technical Director at the DoD, offering insights on career transitions, research, and leadership in government roles.
Explore Bayesian imaging with Plug & Play methods, focusing on convergence guarantees and well-posed models. Learn about novel algorithms for Monte Carlo sampling and MAP inference in inverse problems.
Explore coupled physics imaging techniques combining sound and light, covering PhotoAcoustic Tomography, Ultrasound Modulated Acoustic Tomography, and innovative reconstruction methods using Compressed Sensing and Machine Learning.
Explore nonnegativity certificates in real algebraic geometry, focusing on sums of squares and sums of nonnegative circuit polynomials, with applications to polynomial optimization and theoretical computer science.
Exploring deep learning's instability, AI limitations, and potential impacts on scientific computing and medical imaging. Compares AI's current state to early 20th-century mathematics, predicting similar foundational challenges.
Explore linear spaces of symmetric matrices, their algebraic geometry, and applications in statistics and optimization with Bernd Sturmfels in this advanced mathematics seminar.
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