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Shouvanik Chakrabarti

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

7

Venues

5

Active years

2019–2024

Best venue rank

A*

Where they publish

Papers

7 indexed papers, newest first.

YearVenueTitleAuthors
2024DACInvited: Challenges and Opportunities of Quantum Optimization in Finance.Zichang He, Shouvanik Chakrabarti, Dylan Herman, Niraj Kumar, Changhao Li, Pierre Minssen, Pradeep Niroula, Ruslan Shaydulin, Yue Sun, Shree Hari Sureshbabu, Romina Yalovetzky, Marco Pistoia
2023ICMLAnalyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels.Xuchen You, Shouvanik Chakrabarti, Boyang Chen, Xiaodi Wu
2021AAAISublinear Classical and Quantum Algorithms for General Matrix Games.Tongyang Li, Chunhao Wang, Shouvanik Chakrabarti, Xiaodi Wu
2021ICCADICCAD Special Session Paper: Quantum Variational Methods for Quantum Applications.Shouvanik Chakrabarti, Xuchen You, Xiaodi Wu
2021ICCADQuantum Machine Learning for Finance ICCAD Special Session Paper.Marco Pistoia, Syed Farhan Ahmad, Akshay Ajagekar, Alexander Buts, Shouvanik Chakrabarti, Dylan Herman, Shaohan Hu, Andrew Jena, Pierre Minssen, Pradeep Niroula, Arthur G. Rattew, Yue Sun, Romina Yalovetzky
2020PLDIOn the principles of differentiable quantum programming languages.Shaopeng Zhu, Shih-Han Hung, Shouvanik Chakrabarti, Xiaodi Wu
2019ICMLSublinear quantum algorithms for training linear and kernel-based classifiers.Tongyang Li, Shouvanik Chakrabarti, Xiaodi Wu