59 citations · 197 across the 10 of their papers we have counts for
11 papers
Modeling Hierarchical System with Operads
Spencer Breiner, Blake Pollard, Eswaran Subrahmanian +1
This paper applies operads and functorial semantics to address the problem of failure diagnosis in complex systems. We start with a concrete example, developing a hierarchical inte…
Compositional Models for Power Systems
John S. Nolan, Blake S. Pollard, Spencer Breiner +2
The problem of integrating multiple overlapping models and data is pervasive in engineering, though often implicit. We consider this issue of model management in the context of the…
Future Automation Engineering using Structural Graph Convolutional Neural Networks
Jiang Wan, Blake S. Pollard, Sujit Rokka Chhetri +3
The digitalization of automation engineering generates large quantities of engineering data that is interlinked in knowledge graphs. Classifying and clustering subgraphs according…
Biochemical Coupling Through Emergent Conservation Laws
John C. Baez, Blake S. Pollard, Jonathan Lorand +1
Bazhin has analyzed ATP coupling in terms of quasiequilibrium states where fast reactions have reached an approximate steady state while slow reactions have not yet reached equilib…
Network Models
John C. Baez, John Foley, Joe Moeller +1
Networks can be combined in various ways, such as overlaying one on top of another or setting two side by side. We introduce "network models" to encode these ways of combining netw…
Open Markov Processes and Reaction Networks
Blake S. Pollard
We define the concept of an `open' Markov process, a continuous-time Markov chain equipped with specified boundary states through which probability can flow in and out of the syste…