Making the Most of Preference Feedback by Modeling Feature Dependencies. - S. Chandra Mouli; Sutanu Chakraborti (RecSys, 2015)

Identifying User Survival Types via Clustering of Censored Social Network Data. - S. Chandra Mouli; Abhishek Naik; Bruno Ribeiro 001; Jennifer Neville (CoRR, 2017)

Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction. - Changping Meng; S. Chandra Mouli; Bruno Ribeiro 001; Jennifer Neville (AAAI, 2018)

Deep Lifetime Clustering. - S. Chandra Mouli; Leonardo Teixeira; Jennifer Neville; Bruno Ribeiro 001 (CoRR, 2019)

Deceptive Deletions for Protecting Withdrawn Posts on Social Platforms. - Mohsen Minaei; S. Chandra Mouli; Mainack Mondal; Bruno Ribeiro 001; Aniket Kate (CoRR, 2020)

Neural Networks for Learning Counterfactual G-Invariances from Single Environments. - S. Chandra Mouli; Bruno Ribeiro 001 (ICLR, 2021)

Deceptive Deletions for Protecting Withdrawn Posts on Social Media Platforms. - Mohsen Minaei; S. Chandra Mouli; Mainack Mondal; Bruno Ribeiro 001; Aniket Kate (NDSS, 2021)

Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks. - S. Chandra Mouli; Bruno Ribeiro 001 (ICLR, 2022)

Bias Challenges in Counterfactual Data Augmentation. - S. Chandra Mouli; Yangze Zhou; Bruno Ribeiro 001 (CoRR, 2022)

MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning. - S. Chandra Mouli; Muhammad Ashraful Alam; Bruno Ribeiro 001 (CoRR, 2023)

MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning. - S. Chandra Mouli; Muhammad Ashraful Alam; Bruno Ribeiro 001 (ICLR, 2024)

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 001 (ICML, 2024)