Publications

2025

1. ICMLPoster

   Pointwise Information Measures as Confidence Estimators in Deep Neural Networks: A Comparative Study

   Shelvia Wongso, Rohan Ghosh, and Mehul Motani

   In International Conference on Machine Learning, (ICML), 2025

   Bib

   @inproceedings{wongso2025pointwise,
     abbr2 = {Poster},
     author = {Wongso, Shelvia and Ghosh, Rohan and Motani, Mehul},
     title = {Pointwise Information Measures as Confidence Estimators in Deep Neural Networks: A Comparative Study},
     booktitle = {International Conference on Machine Learning, (ICML)},
     year = {2025},
   }

2023

1. ISITOral

   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,
     abbr2 = {Oral},
     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},
   }

2. 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).},
   }

2022

1. ICLRPoster

   Rethinking symbolic regression: Morphology and adaptability in the context of evolutionary algorithms

   Fong Kei Sen, Shelvia Wongso, and Mehul Motani

   In International Conference on Learning Representations (ICLR), 2022

   Bib

   @inproceedings{fong2022using,
     abbr2 = {Poster},
     title = {Rethinking symbolic regression: Morphology and adaptability in the context of evolutionary algorithms},
     author = {Sen, Fong Kei and Wongso, Shelvia and Motani, Mehul},
     booktitle = {International Conference on Learning Representations (ICLR)},
     year = {2022},
   }

2. ISITOral

   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,
     abbr2 = {Oral},
     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},
   }