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Jithendaraa Subramanian
Jithendaraa Subramanian
Toyota Research Institute, McGill University, Mila
Verified email at mila.quebec - Homepage
Title
Cited by
Cited by
Year
Joint bayesian inference of graphical structure and parameters with a single generative flow network
T Deleu, M Nishikawa-Toomey, J Subramanian, N Malkin, L Charlin, ...
Advances in Neural Information Processing Systems 36, 31204-31231, 2023
382023
{PrivGuard}: Privacy Regulation Compliance Made Easier
L Wang, U Khan, J Near, Q Pang, J Subramanian, N Somani, P Gao, ...
31st USENIX Security Symposium (USENIX Security 22), 3753-3770, 2022
282022
Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes
M Nishikawa-Toomey, T Deleu, J Subramanian, Y Bengio, L Charlin
AAAI Workshop 2022, 2022
272022
Learning latent structural causal models
J Subramanian, Y Annadani, I Sheth, NR Ke, T Deleu, S Bauer, ...
arXiv preprint arXiv:2210.13583, 2022
52022
Deep reinforcement learning to simulate, train, and evaluate instructional sequencing policies
J Subramanian, J Mostow
Spotlight presentation at Reinforcement Learning for Education workshop at …, 2021
4*2021
Privframework: A system for configurable and automated privacy policy compliance
U Khan, L Wang, J Subramanian, JP Near, D Song
arXiv preprint arXiv:2012.05291, 2020
32020
Context is key: A benchmark for forecasting with essential textual information
AR Williams, A Ashok, É Marcotte, V Zantedeschi, J Subramanian, ...
arXiv preprint arXiv:2410.18959, 2024
22024
Reinforcement Learning for Sequence Design Leveraging Protein Language Models
J Subramanian, S Sujit, N Irtisam, U Sain, D Nowrouzezahrai, SE Kahou, ...
arXiv preprint arXiv:2407.03154, 2024
2024
Learning Latent Structural Causal Models from Low-level Data
J Subramanian
McGill University, 2024
2024
Context is Key: A Benchmark for Forecasting with Essential Textual Information
A Ashok, AR Williams, É Marcotte, V Zantedeschi, J Subramanian, ...
NeurIPS Workshop on Time Series in the Age of Large Models, 0
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