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High Dimensional Level Set Estimation with Bayesian Neural Network

H. Ha, S. Gupta, S. Rana, S. Venkatesh

2021 / pp. To appear / Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence

Goal-driven Long-Term Trajectory Prediction

H. Tran, V. Le, T. Tran

2021 / pp. 796 - 805 / Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision

Graph convolutional networks for drug response prediction

T. Nguyen, G. Nguyen, T. Nguyen, D. Le

2021 / IEEE/ACM Transactions on Computational Biology and Bioinformatics

Self-Attentive Associative Memory

H. Le, T. Tran, S. Venkatesh

2020 / pp. 5682 - 5691 / Proceedings of the 37th International Conference on Machine Learning (ICML)

Enriching Programming Student Feedback with Audio Comments

J. Renzella, A. Cain

2020 / pp. 173 - 183 / 2020 IEEE/ACM 42nd International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET)

Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning

T. G. Karimpanal, S. Rana, S. Gupta, T. Tran, S. Venkatesh

2020 / Proceedings of the International Joint Conference on Neural Networks (IJCNN)

Learning to Abstract and Predict Human Actions

R. Morais, V. Le, T. Tran, S. Venkatesh

2020 / Proceedings of the The British Machine Vision Conference (BMVC)

Dynamic Language Binding in Relational Visual Reasoning

T. M. Le, V. Le, S. Venkatesh, T. Tran

2020 / 39th International Joint Conference on Artificial Intelligence (IJCAI)