PrivFramework: A System for Configurable and Automated Privacy Policy Compliance. - Usmann Khan; Lun Wang 001; Jithendaraa Subramanian; Joseph P. Near; Dawn Song (CoRR, 2020)

PrivGuard: Privacy Regulation Compliance Made Easier. - Lun Wang 001; Usmann Khan; Joseph P. Near; Qi Pang; Jithendaraa Subramanian; Neel Somani; Peng Gao 008; Andrew Low; Dawn Song (USENIX Security Symposium, 2022)

Latent Variable Models for Bayesian Causal Discovery. - Jithendaraa Subramanian; Yashas Annadani; Ivaxi Sheth; Stefan Bauer; Derek Nowrouzezahrai; Samira Ebrahimi Kahou (CoRR, 2022)

Learning Latent Structural Causal Models. - Jithendaraa Subramanian; Yashas Annadani; Ivaxi Sheth; Nan Rosemary Ke; Tristan Deleu; Stefan Bauer; Derek Nowrouzezahrai; Samira Ebrahimi Kahou (CoRR, 2022)

Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes. - Mizu Nishikawa-Toomey; Tristan Deleu; Jithendaraa Subramanian; Yoshua Bengio; Laurent Charlin (CoRR, 2022)

Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network. - Tristan Deleu; Mizu Nishikawa-Toomey; Jithendaraa Subramanian; Nikolay Malkin; Laurent Charlin; Yoshua Bengio (NeurIPS, 2023)

Reinforcement Learning for Sequence Design Leveraging Protein Language Models. - Jithendaraa Subramanian; Shivakanth Sujit; Niloy Irtisam; Umong Sain; Derek Nowrouzezahrai; Samira Ebrahimi Kahou; Riashat Islam (CoRR, 2024)

Context is Key: A Benchmark for Forecasting with Essential Textual Information. - Andrew Robert Williams; Arjun Ashok; Étienne Marcotte; Valentina Zantedeschi; Jithendaraa Subramanian; Roland Riachi; James Requeima; Alexandre Lacoste; Irina Rish; Nicolas Chapados; Alexandre Drouin (CoRR, 2024)

XxaCT-NN: Structure Agnostic Multimodal Learning for Materials Science. - Jithendaraa Subramanian; Linda Hung; Daniel Schweigert; Santosh K. Suram; Weike Ye (CoRR, 2025)