Pranav Subramani

2019202020212022202320247 10 31 44 35 20

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Gautam KamathAssistant Professor @ University of Waterloo, Faculty Member @ Vector InstituteVerified email at uwaterloo.ca
Robert PeharzAssistant Professor of AI, TU GrazVerified email at tugraz.at
Nicola Di MauroAssociate Professor of Computer Science, University of BariVerified email at uniba.it
Karl StelznerTU DarmstadtVerified email at cs.tu-darmstadt.de
Alejandro MolinaAmazonVerified email at amazon.com
Antonio VergariReader (Associate Professor), University of Edinburgh, UKVerified email at ed.ac.uk
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CAIRNE & ELLISVerified email at cs.tu-darmstadt.de
Pascal PoupartUniversity of WaterlooVerified email at uwaterloo.ca

Pranav Subramani

Verified email at uwaterloo.ca - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Enabling fast differentially private sgd via just-in-time compilation and vectorization P Subramani, N Vadivelu, G Kamath Advances in Neural Information Processing Systems 34, 26409-26421, 2021	83	2021
SPFlow: An easy and extensible library for deep probabilistic learning using sum-product networks A Molina, A Vergari, K Stelzner, R Peharz, P Subramani, N Di Mauro, ... arXiv preprint arXiv:1901.03704, 2019	64	2019
A particle filter method of inference for stochastic differential equations P Subramani University of Waterloo, 2022	1	2022
Exact and Efficient Adversarial Robustness with Decomposable Neural Networks PS Subramani, G Kamath, R Peharz The 4th Workshop on Tractable Probabilistic Modeling, 2021		2021

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