Modeling and Comp Seminar

<p><strong>Organizational Meeting</strong><br />
Kevin Lin and Laura Miller, Department of Mathematics, University of Arizona</p>

<p><strong><span>Spatio-Temporal Additive Regression Model Selection for Urban Water Demand</span></strong><br />
<span>Xeuying Tang, Department of Mathematics, University of Arizona</span></p>

<p><span><strong>Deep Learning for Efficient Modeling of High Dimensional Spatiotemporal Physics</strong></span><br />
Arvind Thanam, CCS-2/ Computational Physics and Methods, Center for Nonlinear Studies, Los Alamos National Laboratory</p>

<p><span><strong>Universal Differential Equations for Scientific Machine Learning</strong><br />
Christopher Rackauckas, Mathematics, Massachusetts Institute of Technology</span></p>

<p><strong><span>Convex Relaxations for Severe Damage Analysis in AC Power Networks</span></strong><br />
<span>Carleton Coffrin, Los Alamos National Labs </span></p>

<p><strong>New analytic chain soliton and self-similar solutions to the Kadomtsev-Petviashvili equation</strong><br />
<span>Charles Lester, Department of Physics, University of Arizona</span></p>

<p><strong>Information-Theoretic Sequential Decision Making: Stochastic and Deterministic Approaches</strong><br />
<span>Jason Pacheco, Computer Science, University of Arizona</span></p>

<p><strong><span>Time delays in gene expression and evolutionary games</span></strong><br />
<span>Jacek Miekisz, Institute of Applied Mathematics and Mechanics, University of Warsaw</span></p>

<p><strong><span>Applied differential geometry and harmonic analysis in deep learning regularization</span></strong><br />
<span>Wei Zhu, Department of Mathematics, Duke University</span></p>

<p><strong><span>Organizational Meeting</span></strong><br />
<span>Misha Stepanov, Department of Mathematics, University of Arizona</span></p>