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Description:: The talk explains joint work with Bo'az Klartag, solving the following problem and several variants.Let f be a real-valued function on an N-point set E in Rn. Compute efficiently a function F on the whole Rn that agrees with f on E and has Cm norm close to least possible.
Creator:: Fefferman, Charles L. (Princeton University)
Created:: 2008-10-29
Contributed By:: University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:: 2018-06-19

Description:: We demonstrate the feasibility of linear feedback control to stabilize the vortex shedding behind twin cylinders using cylinder rotation. Our approach is to use linear feedback control theory to stabilize the steady-state solution and apply this control to the nonlinear Navier-Stokes equations. Thus, we linearize the flow about a desired steady-...
Creator:: Borggaard, Jeff (Virginia Polytechnic Institute and State University)
Created:: 2016-03-17
Contributed By:: University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:: 2018-06-19

Description:: Deep learning models have demonstrated strong potential in forecasting problems. However, deep neural networks are usually treated as black boxes and therefore less preferred in many applications where interpretation is needed. In this talk, I will present a novel framework, namely Neural Interaction Detector (NID), that identifies meaningful in...
Creator:: Liu, Yan (University of Southern California)
Created:: 2018-02-22
Contributed By:: University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:: 2019-02-04

Description:: Optimal stopping is the problem of deciding when to stop a stochastic system to obtain the greatest reward; this arises in numerous application areas, such as finance, healthcare and marketing. State-of-the-art methods for high-dimensional optimal stopping involve determining an approximation to the value function or to the continuation value, a...
Creator:: Misic, Velibor (University of California, Los Angeles)
Created:: 2018-10-03
Contributed By:: University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:: 2019-02-04

Description:: Interpreting Painful Histories: Historic Fort Snelling and Beyond In The Wages of History, Amy Tyson draws on seven years of working as an interpreter at Fort Snelling to create a case study of the complex relationship between today's heritage workers and the pasts they are seeking to recreate and interpret. In this panel discussion on interpret...
Creator:: Institute for Advanced Study
Contributor:: Tyson, Amy; Josey, Richard; Crippen, John
Created:: 2014-04-28
Contributed By:: University of Minnesota, Institute for Advanced Study.
Last Updated:: 2018-02-05

Description:: Interpreting Painful Histories: Historic Fort Snelling and Beyond In The Wages of History, Amy Tyson draws on seven years of working as an interpreter at Fort Snelling to create a case study of the complex relationship between today's heritage workers and the pasts they are seeking to recreate and interpret. In this panel discussion on interpret...
Creator:: Institute for Advanced Study
Contributor:: Tyson, Amy; Josey, Richard; Crippen, John
Created:: 2014-04-28
Contributed By:: University of Minnesota, Institute for Advanced Study.
Last Updated:: 2018-02-05

Description:: Single-photon lidar systems form range and reflectivity images using detectors with single-photon sensitivity. Some focused ion beam (FIB) and electron microscopy systems use direct detection of secondary electrons to maximize resolution. This talk will discuss recent results on the interpretation of single-photon and single-electron data that y...
Creator:: Goyal, Vivek (Boston University)
Created:: 2019-10-14
Contributed By:: University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:: 2022-04-22

Description:: Machine learning is increasingly used to inform consequential decisions. Yet, these predictive models have been found to exhibit unexpected defects when trained on real-world observational data, which are plagued with confounders and biases. Thus, it is critical to involve domain experts in an interactive process of developing predictive models;...
Creator:: Bastani, Hamsa (Wharton School of the University of Pennsylvania)
Created:: 2018-12-05
Contributed By:: University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:: 2019-02-04

Creator:: Oestreicher, Samantha (University of Minnesota, Twin Cities)
Created:: 2014-02-04
Contributed By:: University of Minnesota, Institute for Mathematics and its Applications.
Last Updated:: 2018-06-19