Staff profile

• Machine Learning
• Artificial Intelligence
• Statistics

Chapter in book

• Nguyen, C. V., Swaroop, S., Bui, T. D., Li, Y., & Turner, R. E. (2024). Lifelong Learning for Deep Neural Networks with Bayesian Principles. In X. Li, S. Ramasamy, A. Ambikapathi, S. Sundaram, & H. M. Fayek (Eds.), Towards Human Brain Inspired Lifelong Learning (51-72). World Scientific Publishing. https://doi.org/10.1142/9789811286711_0004

Conference Paper

• Dinh, V., Ho, L., & Nguyen, C. (2024, December). Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient. Presented at The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada
• Ousat, B., Schafir, E., Tofighi, M., Hoang, D., Nguyen, C., Arshad, S., Uluagac, S., & Kharraz, A. (2024, May). The Matter of Captchas: An Analysis of a Brittle Security Feature on the Modern Web. Presented at The ACM Web Conference 2024, Singapore
• Nguyen, C. N., Tran, P., Ho, L., Dinh, V., Tran, A., Hassner, T., & Nguyen, C. V. (2023, July). Simple transferability estimation for regression tasks. Presented at The Conference on Uncertainty in Artificial Intelligence (UAI)

Journal Article

• Nguyen, C. V., Ho, L. S. T., Xu, H., Dinh, V., & Nguyen, B. T. (2022). Bayesian active learning with abstention feedbacks. Neurocomputing, 471, 242-250. https://doi.org/10.1016/j.neucom.2021.11.027