Shouvanik Chakrabarti

4 papers · 2019–2023 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird 📈 Trend Setter

Venues

ICML (2) AAAI (1) NeurIPS (1)

Top co-authors

Xiaodi Wu (4) Tongyang Li (3) Boyang Chen (1) Chunhao Wang (1) Huang Yiming (1) Soheil Feizi (1) Xuchen You (1)

Research topics

Machine Learning (3) Optimization & Theory · Machine Learning (3) Deep Learning (2) Interdisciplinary (2) Mathematics & Optimization (2) Optimization (2) Science (2) Artificial Intelligence (1) Core Methods (1) Learning Paradigms (1) Models (1) Optimization & Theory · Deep Learning (1)

Keywords

quantum computing (2) sublinear algorithm (2) convergence analysis (1) quantum machine learning (1) adversarial training (1) theoretical analysis (1) continuous optimization (1) kernel ridge regression (1) matrix game (1) quantum algorithm (1) classifier training (1) quantum neural network (1) kernel methods (1) quantum generative model (1) wasserstein distance (1) quantum gan (1) neural tangent kernel (1)

Papers

Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels ICML 2023 Sublinear Classical and Quantum Algorithms for General Matrix Games AAAI 2021 Quantum Wasserstein Generative Adversarial Networks NeurIPS 2019 Sublinear quantum algorithms for training linear and kernel-based classifiers ICML 2019