12 citations
- Freie Universität BerlinDE1 paper
- Georgia Institute of TechnologyUS1 paper
- Paderborn UniversityDE1 paper
- United Technologies Research CenterIE1 paper
- Università di CamerinoIT1 paper
- University of California, Santa BarbaraUS1 paper
- University of Maryland, College ParkUS1 paper
- University of MinnesotaUS1 paper
- University of RochesterUS1 paper
6 papers
Topological Run-time Monitoring for Complex Systems
Matteo Rucco, Luca Tesei, Emanuela Merelli
In this paper we introduce a new data-driven run-time monitoring system for analysing the behaviour of time evolving complex systems. The monitor controls the evolution of the whol…
Accelerated PDE's for efficient solution of regularized inversion problems
Minas Benyamin, Jeff Calder, Ganesh Sundaramoorthi +1
We further develop a new framework, called PDE Acceleration, by applying it to calculus of variations problems defined for general functions on , obtaining efficient…
Efficient Propagation of Uncertainties in Manufacturing Supply Chains: Time Buckets, L-leap and Multilevel Monte Carlo
Nai-Yuan Chiang, Yinqing Lin, Quan Long
Uncertainty propagation of large scale discrete supply chains can be prohibitive when a large number of events occur during the simulated period and discrete event simulations (DES…
Spectral Complexity of Directed Graphs and Application to Structural Decomposition
Igor Mezić, Vladimir A. Fonoberov, Maria Fonoberova +1
We introduce a new measure of complexity (called spectral complexity) for directed graphs. We start with splitting of the directed graph into its recurrent and non-recurrent parts.…
Deep Multimodal Representation Learning from Temporal Data
Xitong Yang, Palghat Ramesh, Radha Chitta +3
In recent years, Deep Learning has been successfully applied to multimodal learning problems, with the aim of learning useful joint representations in data fusion applications. Whe…
Continuous Relaxations for the Traveling Salesman Problem
Tuhin Sahai, Adrian Ziessler, Stefan Klus +1
In this work, we aim to explore connections between dynamical systems techniques and combinatorial optimization problems. In particular, we construct heuristic approaches for the t…