Member in the School of Natural Sciences, is a mathematical
physicist whose research interests span string theory and quantum
field theory. Most recently, she has been exploring connections
between holography and the mathematical...
Karen Uhlenbeck is Distinguished Visiting Professor in the
Mathematics at the Institute for Advanced Study. A
founder of modern
geometric analysis, she is professor
emeritus at the University of Texas...
The Institute's School of Mathematics held the workshop "Theory
of Deep Learning: Where Next?" October 15–18, 2019, as part
of the School's special year on Optimization, Statistics, and
Theoretical Machine Learning.
A variety of systems in natural sciences are described through
physically measurable quantities that depend on “independent
variables.” For instance, we routinely measure the pressure
and the temperature of the air in the Earth’s atmosphere,
By the twentieth century, mathematics had advanced into rather
abstract realms, transcending its origins, which had been largely
driven by questions closer to the natural world. Physics on the
other hand, especially after the development of quantum...
In 2019–20, Chris J.
Maddison, Member in the School of Mathematics and a
Senior Research Scientist at DeepMind, is developing methods for
machine learning and exploring foundational questions about how
learning from data is possible.