Towards explainable message passing networks for predicting carbon dioxide adsorption in metal-organic frameworks.
Ali RazaFaaiq WaqarArni SturlusonCory SimonXiaoli Z. FernPublished in: CoRR (2020)
Keyphrases
- message passing
- carbon dioxide
- belief propagation
- distributed systems
- shared memory
- probabilistic inference
- markov random field
- sum product
- graph cuts
- sum product algorithm
- pairwise
- graphical models
- stereo matching
- power plant
- data center
- inference in graphical models
- power generation
- energy saving
- image processing
- lower bound
- bayesian networks