Tung-Long Vuong

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 6

Top Topics

Neural Learning

Reinforcement Learning

Bayesian Decision

Top Venues

Publications

Van-Anh Nguyen, Tung-Long Vuong, Hoang Phan, Thanh-Toan Do, Dinh Q. Phung, Trung Le
Flat Seeking Bayesian Neural Networks. NeurIPS (2023)
Tung-Long Vuong, Trung Le, He Zhao, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai, Dinh Q. Phung
Vector Quantized Wasserstein Auto-Encoder. CoRR (2023)
Chuanxia Zheng, Tung-Long Vuong, Jianfei Cai, Dinh Phung
MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation. NeurIPS (2022)
Tung-Long Vuong, Do Van Nguyen, Tai-Long Nguyen, Cong-Minh Bui, Hai-Dang Kieu, Viet-Cuong Ta, Quoc-Long Tran, Thanh Ha Le
Sharing Experience in Multitask Reinforcement Learning. IJCAI (2019)
Tung-Long Vuong, Kenneth Tran
Uncertainty-aware Model-based Policy Optimization. CoRR (2019)
Do Van Nguyen, Tung-Long Vuong, Hai-Dang Kieu, Linh Pham, Thanh Ha Le
Vision Memory for Target Object Navigation Using Deep Reinforcement Learning: An Empirical Study. SMC (2018)