Nguyen, Phuoc

7 publications

ICML 2025 Identifying Causal Direction via Variational Bayesian Compression Quang-Duy Tran, Bao Duong, Phuoc Nguyen, Thin Nguyen

AAAI 2024 Root Cause Explanation of Outliers Under Noisy Mechanisms Phuoc Nguyen, Truyen Tran, Sunil Gupta, Thin Nguyen, Svetha Venkatesh

AAAI 2023 Memory-Augmented Theory of Mind Network Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, Truyen Tran

ECML-PKDD 2021 Fast Conditional Network Compression Using Bayesian HyperNetworks Phuoc Nguyen, Truyen Tran, Ky Le, Sunil Gupta, Santu Rana, Dang Nguyen, Trong Nguyen, Shannon Ryan, Svetha Venkatesh

ECML-PKDD 2021 Knowledge Distillation with Distribution Mismatch Dang Nguyen, Sunil Gupta, Trong Nguyen, Santu Rana, Phuoc Nguyen, Truyen Tran, Ky Le, Shannon Ryan, Svetha Venkatesh

ECML-PKDD 2021 Variational Hyper-Encoding Networks Phuoc Nguyen, Truyen Tran, Sunil Gupta, Santu Rana, Hieu-Chi Dam, Svetha Venkatesh

ACML 2020 Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning Dung Nguyen, Svetha Venkatesh, Phuoc Nguyen, Truyen Tran