| 2024 | ICLR | MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning. | S. Chandra Mouli, Muhammad Ashraful Alam, Bruno Ribeiro |
| 2024 | ICML | Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs. | S. Chandra Mouli, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Andrew Stuart, Michael W. Mahoney, Bernie Wang |
| 2022 | ICLR | Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks. | S. Chandra Mouli, Bruno Ribeiro |
| 2021 | ICLR | Neural Networks for Learning Counterfactual G-Invariances from Single Environments. | S. Chandra Mouli, Bruno Ribeiro |
| 2021 | NDSS | Deceptive Deletions for Protecting Withdrawn Posts on Social Media Platforms. | Mohsen Minaei, S. Chandra Mouli, Mainack Mondal, Bruno Ribeiro, Aniket Kate |
| 2018 | AAAI | Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction. | Changping Meng, S. Chandra Mouli, Bruno Ribeiro, Jennifer Neville |
| 2015 | RecSys | Making the Most of Preference Feedback by Modeling Feature Dependencies. | S. Chandra Mouli, Sutanu Chakraborti |