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Predictive Coding for Locally Linear Control
portfolio
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publications
Infinite Dropout for training Bayesian models from data streams
Van-Son Nguyen, Tung Nguyen, Linh Ngo Van, Khoat Than
IEEE International Conference on Big Data (Big Data), 2019.
[paper]
Predictive Coding for Locally-Linear Control
Rui Shu*, Tung Nguyen*, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung Bui
The 37th International Conference on Machine Learning (ICML), 2020.
[paper] [code] [blog] [slide] [talk]
Temporal Predictive Coding for Model-based Planning in Latent Space
Tung Nguyen*, Rui Shu*, Tuan Pham*, Hung Bui, Stefano Ermon
The 38th International Conference on Machine Learning (ICML), 2021.
[paper] [code] [slide] [talk]
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling
Tung Nguyen, Aditya Grover
The 39th International Conference on Machine Learning (ICML), 2022.
[paper] [code] [slide] [talk]
ClimaX: A foundation model for weather and climate
Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K. Gupta*, Aditya Grover*
The 40th International Conference on Machine Learning (ICML), 2023.
Best Paper at ICML Workshop on Synergy of Scientific and Machine Learning Modeling, Spotlight Oral at ICLR Workshop on AI and Climate Change
[paper] [code] [blog] [slide] [talk]
talks
Representation learning for optimal control from high-dimensional observations
Data Science Lab Seminar Series
[slide]
Predictive Coding for Locally-Linear Control
AI DAY 2020: Rising to the Challenges
[slide]
ClimaX: A foundation model for weather and climate
Leeds SciML seminar
[slide]
teaching
Teaching experience 1
University 1, Department
Teaching experience 2
University 1, Department