Shelvia Wongso

I am currently pursuing a PhD at the National University of Singapore, specializing in Artificial Intelligence (AI), under the supervision of Professor Mehul Motani. I am interested in using information theory to understand deep neural networks. My research areas in deep learning include generalization, explainability, fairness, robustness, uncertainty quantification and privacy, all of which are important to build safe and trustworthy AI models.

Other interests: particle physics and neuroscience
Hobbies: taking walks, reading books, and journaling

Contact: shelvia.w@u.nus.edu

News

May 7, 2024	My abstract is accepted at Recent Results Poster Session of the ISIT 2024. More details about it soon!
Apr 14, 2024	My paper is accepted at ISIT 2024 Workshop on Information-Theoretic Methods for Trustworthy Machine Learning. More details about it soon!

Latest Posts

Apr 19, 2024	How to Think Clearly?
Apr 19, 2024	De-optimize Your Life with Downtime
Apr 19, 2024	Advice from Sholto Douglas and Trenton Bricken

Selected Publications

ISIT

Pointwise Sliced Mutual Information for Neural Network Explainability

Shelvia Wongso, Rohan Ghosh, and Mehul Motani

In IEEE International Symposium on Information Theory, (ISIT), 2023

Bib

@inproceedings{wongso2023pointwise,
  author = {Wongso, Shelvia and Ghosh, Rohan and Motani, Mehul},
  title = {Pointwise Sliced Mutual Information for Neural Network Explainability},
  booktitle = {{IEEE} International Symposium on Information Theory, (ISIT)},
  year = {2023},
}

AISTATSOral

Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural Networks

Shelvia Wongso, Rohan Ghosh, and Mehul Motani

In International Conference on Artificial Intelligence and Statistics (AISTATS), 2023

Oral Presentation at AISTATS (Top 1.9% of Submitted Papers).

Bib

@inproceedings{wongso2023using,
  abbr2 = {Oral},
  title = {Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural Networks},
  author = {Wongso, Shelvia and Ghosh, Rohan and Motani, Mehul},
  booktitle = {International Conference on Artificial Intelligence and Statistics (AISTATS)},
  year = {2023},
  note = {Oral Presentation at AISTATS (Top 1.9% of Submitted Papers).},
}

ISIT

Understanding Deep Neural Networks Using Sliced Mutual Information

Shelvia Wongso, Rohan Ghosh, and Mehul Motani

In IEEE International Symposium on Information Theory, (ISIT), 2022

Bib

@inproceedings{wongso2022understanding,
  author = {Wongso, Shelvia and Ghosh, Rohan and Motani, Mehul},
  title = {Understanding Deep Neural Networks Using Sliced Mutual Information},
  booktitle = {{IEEE} International Symposium on Information Theory, (ISIT)},
  year = {2022},
}