| Subgraph pattern neural networks for high-order graph evolution prediction C Meng, SC Mouli, B Ribeiro, J Neville Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 46 | 2018 |
| Asymmetry learning for counterfactually-invariant classification in ood tasks SC Mouli, B Ribeiro International Conference on Learning Representations, 2022 | 15 | 2022 |
| Deceptive Deletions for Protecting Withdrawn Posts on Social Media Platforms M Minaei, SC Mouli, M Mondal, B Ribeiro, A Kate In Network and Distributed System Security Symposium (NDSS), 2021 | 12* | 2021 |
| Neural Networks for Learning Counterfactual G-Invariances from Single Environments SC Mouli, B Ribeiro International Conference on Learning Representations, 2021 | 10 | 2021 |
| Making the most of preference feedback by modeling feature dependencies SC Mouli, S Chakraborti Proceedings of the 9th ACM Conference on Recommender Systems, 285-288, 2015 | 10 | 2015 |
| Deep lifetime clustering SC Mouli, L Teixeira, J Neville, B Ribeiro arXiv preprint arXiv:1910.00547, 2019 | 9 | 2019 |
| Identifying user survival types via clustering of censored social network data SC Mouli, A Naik, B Ribeiro, J Neville arXiv preprint arXiv:1703.03401, 2017 | 9 | 2017 |
| MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning SC Mouli, MA Alam, B Ribeiro arXiv preprint arXiv:2303.03181, 2023 | 4 | 2023 |
| Bias Challenges in Counterfactual Data Augmentation SC Mouli, Y Zhou, B Ribeiro arXiv preprint arXiv:2209.05104, 2022 | 1 | 2022 |
| Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs SC Mouli, DC Maddix, S Alizadeh, G Gupta, A Stuart, MW Mahoney, ... arXiv preprint arXiv:2403.10642, 2024 | | 2024 |
| MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning SC Mouli, M Alam, B Ribeiro The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
| MetaPhysiCa: Causality-aware Robustness to OOD Initial Conditions in Physics-informed Machine Learning SC Mouli, B Ribeiro | | 2022 |
| A Deep Learning Approach for Survival Clustering without End-of-life Signals SC Mouli, B Ribeiro, J Neville | | 2018 |
Bruno RibeiroAssociate Professor of Computer Science at Purdue UniversityVerified email at cs.purdue.edu
