Rina Panigrahy
I am broadly interested in theoretical and applied algorithms in areas such as similarity search, sketching and streaming, cuckoo hashing, learning and prediction, and large graph analysis,
Network algorithms. Much of my research has been related to problems arising in engineering applications such as provable guarantees for deep learning, distributed caching for content delivery networks that led to the founding of Akamai Technologies, risk-reward trade-off for stock prediction, space efficient hashing in networking equipment, low power Ternary-CAMs, space efficient similarity search, and fast distance estimation in social networks.
Authored Publications
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How Transformers Solve Propositional Logic Problems: A Mechanistic Analysis
Guanzhe Hong
Nishanth Dikkala
Enming Luo
The 4th Workshop on Mathematical Reasoning and AI @ NeurIPS 2024
One network fits all? Modular versus monolithic task formulations in neural networks
Abhimanyu Das
Atish Agarwala
Brendan Juba
Vatsal Sharan
ICLR 2021 (2021)
Convergence Results for Neural Networks via Electrodynamics
Ali Rahimi
Sushant Sachdeva
Qiuyi Zhang:
Innovations in Theoretical Computer Science Conference, ITCS 2018 (2018)
Algorithms for ℓp Low Rank Approximation
Flavio Chierichetti
David P. Woodruff
ICML '17 (2017)
Partitioning Orders in Online Shopping Services
Debmalya Panigrahi
Conf. on Information and Knowledge Management (CIKM) (2017)
