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Janardhan Kulkarni
Scholar

Janardhan Kulkarni

Google Scholar ID: _fxnybwAAAAJ
Microsoft Research, Redmond
Algorithm DesignOptimization Under UncertaintyAlgorithmic Game TheoryDifferential PrivacyMachine Learning
Google Scholar↗
Citations & Impact
All-time
Citations
3,952
 
H-index
28
 
i10-index
61
 
Publications
20
 
Co-authors
42
list available
Contact
No contact links provided.
Publications
10 items
Early Discoveries of Algorithmist I: Promise of Provable Algorithm Synthesis at Scale
2026
Cited
0
Simulating Environments with Reasoning Models for Agent Training
2025
Cited
0
Dyna-Mind: Learning to Simulate from Experience for Better AI Agents
2025
Cited
0
OptiMind: Teaching LLMs to Think Like Optimization Experts
2025
Cited
0
SAS: Simulated Attention Score
2025
Cited
0
Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
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
Resume (English only)
Co-authors
42 total
Sergey Yekhanin
Sergey Yekhanin
Microsoft
Sungjin Im
Sungjin Im
University of California, Santa Cruz
Bolin Ding
Bolin Ding
Alibaba Group
Sayan Bhattacharya
Sayan Bhattacharya
University of Warwick
Kamesh Munagala
Kamesh Munagala
Professor of Computer Science, Duke University
Co-author 6
Co-author 6
Co-author 7
Co-author 7
Co-author 8
Co-author 8

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