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AutoSimulate: (Quickly) Learning Synthetic Data Generation.

, , , , and . ECCV (22), volume 12367 of Lecture Notes in Computer Science, page 255-271. Springer, (2020)

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Differentiating the Black-Box: Optimization with Local Generative Surrogates., , , , and . CoRR, (2020)Using synthetic data to train neural networks is model-based reasoning., , , and . IJCNN, page 3514-3521. IEEE, (2017)A semantic network-based evolutionary algorithm for computational creativity., , and . Evol. Intell., 8 (1): 3-21 (2015)Evolution of central pattern generators for the control of a five-link bipedal walking mechanism.. Paladyn J. Behav. Robotics, 3 (1): 45-53 (2012)Attention for Inference Compilation., , , , and . SIMULTECH, page 80-91. SCITEPRESS, (2022)Etalumis: bringing probabilistic programming to scientific simulators at scale., , , , , , , , , and 7 other author(s). SC, page 29:1-29:24. ACM, (2019)An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval., , , , , , , , , and . CoRR, (2019)Spacecraft Collision Risk Assessment with Probabilistic Programming., , , , , , , , , and . CoRR, (2020)KL Guided Domain Adaptation., , , , and . CoRR, (2021)Automated Generation of Cross-Domain Analogies via Evolutionary Computation., , and . ICCC, page 25-32. computationalcreativity.net, (2012)