Foundation models and agentic AI for discovery in fluid mechanics
Ricardo Vinuesa (Aerospace Engineering, University of Michigan)
Abstract: In this seminar we discuss a unified framework that combines explainable deep learning, deep reinforcement learning (DRL) and...
Buying Time: Optimal Service Purchase and Retirement Timing in Defined Benefit Plans
Kristen Moore, UM
We study retirement timing decisions in a defined benefit (DB) pension plan with a service-purchase...
Robust and Risk-Sensitive Acceleration in Gradient Methods
Mert Gurbuzbalaban, Rutgers
First-order methods such as gradient descent (GD) are foundational in optimization. In unconstrained problems with exact gradients,...
THE HEREDITARY LAWS OF LARGE NUMBERS
Ioannis Karatzas, Columbia University
The celebrated theorem of Komlos (1967) establishes L^1-boundedness as a sufficient condition for a sequence of measurable functions on a...
