5 papers
Deep Learning-based Resource Allocation for Infrastructure Resilience
Siavash Alemzadeh, Hesam Talebiyan, Shahriar Talebi +2
From an optimization point of view, resource allocation is one of the cornerstones of research for addressing limiting factors commonly arising in applications such as power outage…
A quantum algorithm to count weighted ground states of classical spin Hamiltonians
Bhuvanesh Sundar, Roger Paredes, David T. Damanik +2
Ground state counting plays an important role in several applications in science and engineering, from estimating residual entropy in physical systems, to bounding engineering reli…
Efficient Contraction of Large Tensor Networks for Weighted Model Counting through Graph Decompositions
Jeffrey M. Dudek, Leonardo Dueñas-Osorio, Moshe Y. Vardi
Constrained counting is a fundamental problem in artificial intelligence. A promising new algebraic approach to constrained counting makes use of tensor networks, following a reduc…
Competitive percolation strategies for network recovery
Andrew M. Smith, Márton Pósfai, Martin Rohden +3
Restoring operation of critical infrastructure systems after catastrophic events is an important issue, inspiring work in multiple fields, including network science, civil engineer…
Principled Network Reliability Approximation: A Counting-Based Approach
R. Paredes, L. Duenas-Osorio, K. S. Meel +1
As engineered systems expand, become more interdependent, and operate in real-time, reliability assessment is indispensable to support investment and decision making. However, netw…