Results for: Kien Do

Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization

K. Do, T. Tran, S. Venkatesh

2021 / AAAI

Unsupervised Anomaly Detection on Temporal Multiway Data

D. Nguyen, P. Nguyen, K. Do, S. Rana, S. Gupta, T. Tran

2020 / pp. 1059 - 1066 / 2020 IEEE Symposium Series on Computational Intelligence (SSCI)

Theory and evaluation metrics for learning disentangled representations

K. Do, T. Tran

2020 / ICLR

Graph Transformation Policy Network for Chemical Reaction Prediction

K. Do, T. Tran, S. Venkatesh

2019 / pp. (Accepted 30 Apr 2019) / Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)

Attentional multilabel learning over graphs: a message passing approach

K. Do, T. Tran, T. Nguyen, S. Venkatesh

2019 / pp. 1 - 25 / Machine Learning

Theory and Evaluation Metrics for Learning Disentangled Representations

K. Do, T. Tran

2019 / Proceedings of the International Conference on Learning Representations (ICLR)

Knowledge Graph Embedding with Multiple Relation Projections

K. Do, T. Tran, S. Venkatesh

2018 / pp. 332 - 337 / International Conference on Pattern Recognition (ICPR)

Energy-Based Anomaly Detection for Mixed Data

K. Do, T. Tran, S. Venkatesh

2018 / Vol. 57, pp. 413 - 435 / Knowledge and Information Systems

Learning Recurrent Matrix Representation

K. Do, T. Tran, S. Venkatesh

2017 / Third Representation Learning for Graphs Workshop (ReLiG 2017)