S. Chandra Mouli

According to our database, S. Chandra Mouli authored at least 11 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Yuyang Wang

CoRR, 2024

2023

MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning.

S. Chandra Mouli, Muhammad Ashraful Alam, Bruno Ribeiro

CoRR, 2023

2022

Bias Challenges in Counterfactual Data Augmentation.

S. Chandra Mouli, Yangze Zhou, Bruno Ribeiro

CoRR, 2022

Asymmetry Learning for Counterfactually-invariant Classification in OOD Tasks.

S. Chandra Mouli, Bruno Ribeiro

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Deceptive Deletions for Protecting Withdrawn Posts on Social Media Platforms.

Mohsen Minaei, S. Chandra Mouli, Mainack Mondal, Bruno Ribeiro, Aniket Kate

Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

Neural Networks for Learning Counterfactual G-Invariances from Single Environments.

S. Chandra Mouli, Bruno Ribeiro

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Deceptive Deletions for Protecting Withdrawn Posts on Social Platforms.

Mohsen Minaei, S. Chandra Mouli, Mainack Mondal, Bruno Ribeiro, Aniket Kate

CoRR, 2020

2019

Deep Lifetime Clustering.

S. Chandra Mouli, Leonardo Teixeira, Jennifer Neville, Bruno Ribeiro

CoRR, 2019

2018

Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction.

Changping Meng, S. Chandra Mouli, Bruno Ribeiro, Jennifer Neville

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Identifying User Survival Types via Clustering of Censored Social Network Data.

S. Chandra Mouli, Abhishek Naik, Bruno Ribeiro, Jennifer Neville

CoRR, 2017

2015

Making the Most of Preference Feedback by Modeling Feature Dependencies.

S. Chandra Mouli, Sutanu Chakraborti

Proceedings of the 9th ACM Conference on Recommender Systems, 2015