Abstract: We consider the problem of designing output feedback controllers that use measurements from a set of landmarks to navigate through a cell-decomposable environment using duality, control ...

Abstract: Several important problems in control theory can be reformulated as semidefinite programming problems, i.e., minimization of a linear objective subject to linear matrix inequality (LMI) ...

From termite nests to cancellous bone, irregular structures are ubiquitous in nature but difficult to harness in artificial systems. We propose an optimization-free approach that directly generates ...

MPAX is a hardware-accelerated, differentiable, batchable, and distributable solver for mathematical programming in JAX, designed to integrate with modern computational and deep learning workflows: ...

In the early 1980s, when cable TV was young and music videos were on the cutting edge, Doug Herzog used to fly coach for his job as a junior MTV programming executive. When he traveled, Herzog would ...

Keep the news in the Wayback Machine. Sign Fight for the Future's letter. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive ...

Understanding the mechanism of how neural networks learn features from data is a fundamental problem in machine learning. Our work explicitly connects the mechanism of neural feature learning to a ...

This page provides a link to TurboParser, a free multilingual dependency parser developed by André Martins. Dependency parsing is a lightweight syntactic formalism that relies on lexical relationships ...

1 Department of Mathematics, University of Patras, Patras, Greece. 2 Department of Business Administration, University of Patras, Patras, Greece. This paper presents a new dimension reduction strategy ...

In 2022, a team of computer scientists presented a groundbreaking algorithm for the maximum flow problem: How does one transport the most supplies from a source node to a sink node in a network while ...