Their NeurIps paper is all about scalable training/inference in ML systems that combine deep learning for perception and symbolic logic for e.g. visual question

Their NeurIps paper is all about scalable training/inference in ML systems that combine deep learning for perception and symbolic logic for e.g. visual question answering pdf: https://www.cis.upenn.edu/~mhnaik/papers/neurips21.pdf https://www.cis.upenn.edu/~mhnaik/papers/neurips21.pdf