| Bivariate causal discovery via conditional divergence B Duong, T Nguyen Conference on Causal Learning and Reasoning, 236-252, 2022 | 12 | 2022 |
| Causal Inference via Style Transfer for Out-of-distribution Generalisation T Nguyen, K Do, DT Nguyen, B Duong, T Nguyen Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 10* | 2023 |
| Conditional Independence Testing via Latent Representation Learning B Duong, T Nguyen 2022 IEEE International Conference on Data Mining (ICDM), 121--130, 2022 | 4 | 2022 |
| Class-Incremental Learning with Causal Relational Replay T Nguyen, D Kieu, B Duong, T Kieu, K Do, T Nguyen, B Le Expert Systems With Applications, 2024 | 3 | 2024 |
| Heteroscedastic Causal Structure Learning B Duong, T Nguyen European Conference on Artificial Intelligence, 598--605, 2023 | 3 | 2023 |
| Domain Generalisation via Risk Distribution Matching T Nguyen, K Do, B Duong, T Nguyen Winter Conference on Applications of Computer Vision, 2790--2799, 2024 | 2 | 2024 |
| Differentiable Bayesian Structure Learning with Acyclicity Assurance QD Tran, P Nguyen, B Duong, T Nguyen 2023 IEEE International Conference on Data Mining (ICDM), 598-607, 2023 | 2* | 2023 |
| Normalizing flows for conditional independence testing B Duong, T Nguyen Knowledge and Information Systems 66 (1), 357-380, 2024 | 1 | 2024 |
| Diffeomorphic Information Neural Estimation B Duong, T Nguyen Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7468-7475, 2023 | 1 | 2023 |
| ALIAS: DAG Learning with Efficient Unconstrained Policies B Duong, H Le, T Nguyen | | 2024 |
| Scalable Variational Causal Discovery Unconstrained by Acyclicity N Hoang, B Duong, T Nguyen ECAI, 2024 | | 2024 |
| Enabling Causal Discovery in Post-Nonlinear Models with Normalizing Flows N Hoang, B Duong, T Nguyen ECAI, 2024 | | 2024 |
| Constraining Acyclicity of Differentiable Bayesian Structure Learning with Topological Ordering QD Tran, P Nguyen, B Duong, T Nguyen Knowledge and Information Systems, 2024 | | 2024 |
| Robust Estimation of Causal Heteroscedastic Noise Models QD Tran, P Nguyen, B Duong, T Nguyen SIAM International Conference on Data Mining (SDM), 2024 | | 2024 |
| Efficient Classification with Counterfactual Reasoning and Active Learning A Mohammed, D Nguyen, B Duong, T Nguyen Asian Conference on Intelligent Information and Database Systems, 27-38, 2022 | | 2022 |
| Handling Missing Data with Markov Boundary A Mohammed, D Nguyen, B Duong, M Nichols, T Nguyen International Conference on Advanced Data Mining and Applications, 319-333, 2022 | | 2022 |
| Causality-aided Recommendation Systems T Nguyen, A Mohammed, B Duong, T Nguyen 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | | 2022 |
Thin NguyenSenior Research Lecturer, Deakin University, AustraliaVerified email at deakin.edu.au
