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| NO | Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date) |
|---|---|
| Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks Lee, Juho; Lee, Yoonho; Kim, Jungtaek; Kosiorek, Adam R.; Choi, Seungjin; Teh, Yee Whye, International Conference on Machine Learning, pp.3744 - 3753, International Conference on Machine Learning, 2019-06-11 | |
| Bayesian inference on random simple graphs with power law degree distributions Lee, Juho; Heakulani, Creighton; Ghahramani, Z; James, Lancelot F.; Choi, Seungjin, International Conference on Machine Learning(ICML 2017), International Machine Learning Society (IMLS), 2017-08-08 | |
| A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure Lee, Juho; James, Lancelot F; Choi, Seungjin; Caron, François, Artificial Intelligence & Statistics 2019(AISTATS 2019), Artificial Intelligence & Statistics, 2019-04-17 | |
| Tree-guided MCMC inference for normalized random measure mixture models Lee, Juho; Choi, Seungjin, Advances in Neural Information Processing Systems (NIPS 2015), Neural Information Processing Systems Foundation, 2015-12-10 | |
| Finite-dimensional BFRY priors and variational Bayesian inference for power law models Lee, Juho; James, Lancelot F.; Choi, Seungjin, Advances in Neural Information Processing Systems (NIPS 2016), Neural Information Processing Systems Foundation, 2016-12-07 | |
| Neural complexity measures Lee, Yoonho; Lee, Juho; Hwang, Sung Ju; Yang, Eunho; Choi, Seungjin, Advances in Neural Information Processing Systems, NeurIPS 2020, Neural Information Processing Systems, 2020-12-10 |