Scholar
Sivakanth Gopi
Google Scholar ID: bYhGFrwAAAAJ
Microsoft Research
Reinforcement Learning
Deep Learning
Algorithms
Coding Theory
Differential Privacy
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Citations & Impact
All-time
Citations
3,193
H-index
22
i10-index
35
Publications
20
Co-authors
10
list available
Contact
No contact links provided.
Publications
7 items
Improved Constructions and Lower Bounds for Maximally Recoverable Grid Codes
2025
Cited
0
On the Emergence of Thinking in LLMs I: Searching for the Right Intuition
2025
Cited
0
DiscQuant: A Quantization Method for Neural Networks Inspired by Discrepancy Theory
2025
Cited
0
AG Codes Achieve List Decoding Capacity over Constant-Sized Fields
Symposium on the Theory of Computing · 2023
Cited
13
Generalized GM-MDS: Polynomial Codes Are Higher Order MDS
Symposium on the Theory of Computing · 2023
Cited
5
Differentially Private Synthetic Data via Foundation Model APIs 1: Images
International Conference on Learning Representations · 2023
Cited
37
Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler
Annual Conference Computational Learning Theory · 2023
Cited
9
Resume (English only)
Co-authors
10 total
Janardhan Kulkarni
Microsoft Research, Redmond
Yin Tat Lee
Paul G. Allen School of Computer Science & Engineering, University of Washington
Sergey Yekhanin
Microsoft
Joshua Brakensiek
University of California, Berkeley
Co-author 5
Gautam Kamath
Assistant Professor @ University of Waterloo, Faculty Member @ Vector Institute
Venkatesan Guruswami
University of California, Berkeley
Henry Pfister
Professor of Electrical and Computer Engineering, Duke University
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