Hien Dang
![Hawaii_profile_pic_2.png](/assets/img/Hawaii_profile_pic_2.png)
Welcome! My name is Hien and I am an incoming PhD student at Department of Statistics and Data Science, University of Texas at Austin. Before that, I was a research resident at FPT Software AI Center. I graduated with honor bachelor degree from the Department of Mathematics and Computer Science, Ho Chi Minh University of Science, Vietnam National University.
Email: danghoanghien1123@gmail.com
Research Interests
My research interests are in the theory and mathematical foundation of Deep Learning. Specifically, my recent works focus on understanding “collapse” phenomena observed in deep learning architectures such as neural collapse in deep overparameterized neural networks or posterior collapse in variational autoencoders.
“*” and “**” denote equal contribution
Recent news
Jan 1, 2024 | Our paper “Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders” has been accepted as a poster at ICLR 2024. |
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