Research output per year
Research output per year
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Dive into the research topics where Sungjin Ahn is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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ILLITERATE DALL-E LEARNS TO COMPOSE
Singh, G., Deng, F. & Ahn, S., 2022.Research output: Contribution to conference › Paper › peer-review
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GENERATIVE SCENE GRAPH NETWORKS
Deng, F., Zhi, Z., Lee, D. & Ahn, S., 2021.Research output: Contribution to conference › Paper › peer-review
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ROOTS: Object-centric representation and rendering of 3D scenes
Chen, C., Deng, F. & Ahn, S., 2021, In: Journal of Machine Learning Research. 22Research output: Contribution to journal › Article › peer-review
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Generative neurosymbolic machines
Jiang, J. & Ahn, S., 2020, In: Advances in Neural Information Processing Systems. 2020-DecemberResearch output: Contribution to journal › Conference article › peer-review
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Improving generative imagination in object-centricworld models
Lin, Z., Wu, Y. F., Peri, S., Fu, B., Jiang, J. & Ahn, S., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 6096-6105 10 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-8).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution