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MINE: Mutual Information Neural Estimation, , , , , , and . (2018)cite arxiv:1801.04062Comment: 19 pages, 6 figures.MINE: Mutual Information Neural Estimation., , , , and . CoRR, (2018)Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction., , , , , , , and . ICCV, page 10303-10311. IEEE, (2019)Large Language Models as Generalizable Policies for Embodied Tasks., , , , , , , , and . CoRR, (2023)Object-Centric Image Generation from Layouts., , , , and . AAAI, page 2647-2655. AAAI Press, (2021)CMIM: Cross-Modal Information Maximization For Medical Imaging., , , , , , and . ICASSP, page 1190-1194. IEEE, (2021)Deep Reinforcement and InfoMax Learning., , , , and . NeurIPS, (2020)Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links., , , , , , , , , and 1 other author(s). NeuroImage, (January 2024)Multimodal fusion of brain structural and functional imaging with a deep neural machine translation approach., , , , , and . SSIAI, page 1-4. IEEE Computer Society, (2016)Boundary-Seeking Generative Adversarial Networks, , , , , and . (2017)cite arxiv:1702.08431.