Jithendaraa Subramanian

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Graphical Structure

Top Venues

USENIX Security Symposium

Publications

Jithendaraa Subramanian, Shivakanth Sujit, Niloy Irtisam, Umong Sain, Derek Nowrouzezahrai, Samira Ebrahimi Kahou, Riashat Islam
Reinforcement Learning for Sequence Design Leveraging Protein Language Models. CoRR (2024)
Tristan Deleu, Mizu Nishikawa-Toomey, Jithendaraa Subramanian, Nikolay Malkin, Laurent Charlin, Yoshua Bengio
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network. CoRR (2023)
Tristan Deleu, Mizu Nishikawa-Toomey, Jithendaraa Subramanian, Nikolay Malkin, Laurent Charlin, Yoshua Bengio
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network. NeurIPS (2023)
Lun Wang, Usmann Khan, Joseph P. Near, Qi Pang, Jithendaraa Subramanian, Neel Somani, Peng Gao, Andrew Low, Dawn Song
PrivGuard: Privacy Regulation Compliance Made Easier. USENIX Security Symposium (2022)
Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou
Latent Variable Models for Bayesian Causal Discovery. CoRR (2022)
Mizu Nishikawa-Toomey, Tristan Deleu, Jithendaraa Subramanian, Yoshua Bengio, Laurent Charlin
Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes. CoRR (2022)
Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Nan Rosemary Ke, Tristan Deleu, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou
Learning Latent Structural Causal Models. CoRR (2022)
Usmann Khan, Lun Wang, Jithendaraa Subramanian, Joseph P. Near, Dawn Song
PrivFramework: A System for Configurable and Automated Privacy Policy Compliance. CoRR (2020)