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Using Survival Information in Truncation by Death Problems Without the Monotonicity Assumption In some randomized clinical trials, patients may die before the measurements of their outcomes. Even though randomization generates comparable

Title:  Deep learning for hurricane forecastingAbstract: The forecast of hurricane trajectories is crucial for the protection of people and property, but machine learning techniques have been scarce for this so far. I will present a method that

Whitham modulation theory - developments and open problemsI discuss the development of Whitham modulation theory as a nonlinear WKB method successfully used to describe the behavior of nonlinear dispersive waves. Recent advances include the

Hashing Algorithms for Extreme Scale Machine LearningIn this talk, I will discuss some of my recent and surprising findings on the use of hashing algorithms for large-scale estimations. Locality Sensitive Hashing (LSH) is a hugely popular algorithm

Nancy Rodriguez, Department of Applied Mathematics, Â鶹ӰԺ"Mathematical Biology and Sociology: a Buff's Perspective"  Daniel Appelö, Department of Applied Mathematics, Â鶹ӰԺ“

Optimization for High-dimensional Analysis and Estimation High-dimensional signal analysis and estimation appear in many signal processing applications, including modal analysis, and parameter estimation in the spectrally sparse signals. The

ontrolling oscillations in high-order accurate methods through neural networksWhile discontinuous Galerkin methods have proven themselves to be powerful computational methods, capable of accurately solving a variety of PDE's, the combination of high

Statistical Description of Hamiltonian Mixed Phase space systems and many Body Localization  Typical physical systems follow deterministic behavior. This behavior can be sensitive to initial conditions, such that it is very difficult to predict

Generalized dispersion relation predicts harmonic generation in strongly nonlinear systems In recent work, we have derived an exact nonlinear dispersion relation for elastic wave propagation in a thin rod (linearly nondispersive) and a thick

Detecting emotional situations using convolutional neural networks and distributed models of human brain activity Emotions are thought to be canonical responses to situations ancestrally linked to survival or the well-being of an organism.