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Using synthetic data to train neural networks is model-based reasoning., , , and . IJCNN, page 3514-3521. IEEE, (2017)Differentiating the Black-Box: Optimization with Local Generative Surrogates., , , , and . CoRR, (2020)An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval., , , , , , , , , and . CoRR, (2019)KL Guided Domain Adaptation., , , , and . CoRR, (2021)Etalumis: bringing probabilistic programming to scientific simulators at scale., , , , , , , , , and 7 other author(s). SC, page 29:1-29:24. ACM, (2019)Converter software to calibrate and super-resolve solar magnetograms., , , , , , , , , and . (April 2020)Spacecraft Collision Risk Assessment with Probabilistic Programming., , , , , , , , , and . CoRR, (2020)Automated Generation of Cross-Domain Analogies via Evolutionary Computation., , and . ICCC, page 25-32. computationalcreativity.net, (2012)Evolution of ideas: A novel memetic algorithm based on semantic networks., and . IEEE Congress on Evolutionary Computation, page 1-8. IEEE, (2012)CBR with Commonsense Reasoning and Structure Mapping: An Application to Mediation., , , and . ICCBR, volume 6880 of Lecture Notes in Computer Science, page 378-392. Springer, (2011)