Sankeerth Rao Karingula
Sankeerth Rao Karingula
CEO @AtticusAI | ex- Google Research Scientist | ML PhD @UC San Diego | EE @IIT Bombay
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Lower Bounds on the Redundancy of Linear Codes with Disjoint Repair Groups
SR Karingula, A Vardy, M Wootters
IEEE International Symposium on Information Theory (ISIT), 2022
Communication and Memory Efficient Testing of Discrete Distributions
I Diakonikolas, T Gouleakis, D Kane, SR Karingula
Conference on Learning Theory (COLT 2019), 2019
The independence number of the Birkhoff polytope graph, and applications to maximally recoverable codes
D Kane, S Lovett, SR Karingula
58th Annual Symposium on Foundations of Computer Science (FOCS 2017), 2017
Boosted Embeddings for Time Series Forecasting
SR Karingula, N Ramanan, R Tahsambi, M Amjadi, D Jung, R Si, ...
7th International Conference on machine Learning, Optimization and Data …, 2021
A new upperbound for the oblivious transfer capacity of discrete memoryless channels
SR Karingula, VM Prabhakaran
IEEE Information Theory Workshop (ITW 2014), 2014
Probabilistic existence of large sets of designs
S Lovett, SR Karingula, A Vardy
29th ACM-SIAM Symposium on Discrete Algorithms (SODA 2018), 1545-1556, 2018
On the Number of Distinct k-Decks: Enumeration and Bounds
J Chrisnata, HM Kiah, SR Karingula, A Vardy, E Yaakobi, H Yao
International Symposium on Communications and Information Technologies …, 2019
Torus polynomials: an algebraic approach to ACC lower bounds
A Bhrushundi, K Hosseini, S Lovett, SR Karingula
10th Innovations in Theoretical Computer Science Conference (ITCS 2019), 2019
A PRG for Boolean PTF of Degree 2 with Seed Length Subpolynomial in epsilon and Logarithmic in n
D Kane, SR Karingula
33rd Computational Complexity Conference (CCC 2018), 2018
Singularity of random integer matrices with large entries
SR Karingula, S Lovett
International Conference on Randomization and Computation (RANDOM 2021), 2020
Time Series Anomaly Detection with label-free Model Selection
D Jung, N Ramanan, M Amjadi, SR Karingula, J Taylor, CN Coelho Jr
arXiv preprint arXiv:2106.07473, 2021
Sketching based Representations for Robust Image Classification with Provable Guarantees
N Dikkala, SR Karingula, R Meka, J Nelson, R Panigrahy, X Wang
Advances in Neural Information Processing Systems (NeurIPS 2022), 2022
What not to do when your data is lost?
SR Karingula
University of California, San Diego, 2020
Oblivious Transfer Protocols and Entropic Relations for Communication Protocols
SR Karingula
Indian Institute of Technology Bombay, 2014
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