I am currently a DPhil student at the
Department of Engineering Science, the University of Oxford, working with Dr. Gunes Baydin and Prof. Philip Torr (Torr Vision Group) and Prof. Yarin Gal (OATML). Before joining Oxford, I pursued my Master's degree at Korea Advanced Institute of Science and
Technology. During that time, I worked as a research assistant at KAIST's MLAI Group, supervised by Prof. Sung Ju Hwang.
My research interests include Representation Learning, Domain Adaptation/Generalization, Robustness, Efficient Inference, Bayesian Deep Learning, Deep Bayesian Learning and Deep Generative Models.
Publications and Preprints (* indicates equal contribution)
A. Tuan Nguyen, Toan Tran, Yarin Gal, Atilim Gunes Baydin. "Domain Invariant Representation Learning with Domain Density Transformations." (NeurIPS 2021)
A. Tuan Nguyen*, Hyewon Jeong*, Eunho Yang, Sung Ju Hwang. "Clinical Risk Prediction with Temporal Probabilistic
Asymmetric Multi-Task Learning." (AAAI 2021)
Nhat Pham, Tuan Dinh, Taeho Kim, Zohreh Raghebi, Nam Bui, Hoang Truong, A. Tuan Nguyen, Farnoush Banaei-Kashani, Ann Hallbower, Thang Dinh, Phuc Nguyen, Tam Vu. "Detection of Microsleep Events with a Behind-the-ear Wearable System." (IEEE Transactions on Mobile Computing)
A. Tuan Nguyen, Toan Tran, Yarin Gal, Philip Torr, Atilim Gunes Baydin. "KL Guided Domain Adaptation." (Arxiv Preprint, Under Review)
Bruno Andreis, A. Tuan Nguyen, Seanie Lee, Juho Lee, Eunho Yang, Sung Ju Hwang. "Stochastic Subset Selection for Efficient Training and Inference of Neural Networks." (Arxiv Preprint, Under Review)