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Explore the impact of carbon on agriculture and forestry in relation to climate change with this short workshop by Fields Institute.
Dive into analytic spaces with Fields Institute's short program. Learn about approximation, closed ideals, and their applications, with examples and theorems.
Explore Sarason's Ha-plitz product problem with Kehe Zhu from SUNY Albany in less than an hour, offered by Fields Institute. Dive into harmonic analysis, bounded operators, and more.
Explore Foliations on Shimura varieties with Eyal Goren from McGill University. This Fields Institute offering covers representation theory, geometry, and arithmetic in 1-2 hours.
Explore the Howe duality theorem for exceptional dual pairs and dichotomy theorem with Wee Teck Gan from the National University of Singapore. Offered by Fields Institute.
Explore Eisenstein cocycles of arithmetic groups, equivariant cohomology, and differential forms with Luis Garcia from University College London, in less than an hour.
Dive into the ramification of supercuspidal parameters with Columbia University's Michael Harris in this short, intensive study offered by Fields Institute.
Learn global optimization using the dual SONC cone and linear programming in less than an hour with Fields Institute. Gain insights into nonnegativity certificates, circuit functions, and numerical examples.
Learn about Maximum Likelihood Estimation and its connections to invariant theory in a short workshop by Anna Seigal, University of Oxford, offered by Fields Institute.
Join Fields Institute's short session on numerical computation of monodromy action over R, led by Margaret Regan from Duke University. Gain insights into real algebraic geometry and its applications in kinematics.
Explore high-dimensional data handling with PCA, learn to recover principal components under heteroscedastic noise, and optimize PCA performance in this short program by Fields Institute.
Explore generalized compressed sensing with Yaniv Plan from the University of British Columbia in this less than 1-hour session offered by Fields Institute. Dive into signal recovery, measurement matrices, and low-rank matrix recovery.
Learn robust low-rank matrix completion techniques for computer vision and machine learning applications from the Fields Institute. Less than 1-hour workload.
Explore Gaussian graphical models and rigidity theory with the Fields Institute. Learn about maximum likelihood thresholds in genomics in less than an hour.
Dive into over-parametrization techniques in neural networks with Duke University's Rong Ge. Learn about low-rank models, tensor decomposition, and gradient descent in under an hour.
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