A new upperbound for the oblivious transfer capacity of discrete memoryless channels. - K. Sankeerth Rao; Vinod M. Prabhakaran (ITW, 2014)

Lower Bound on the Redundancy of PIR Codes. - Sankeerth Rao; Alexander Vardy (CoRR, 2016)

Labeling the complete bipartite graph with no zero cycles. - Daniel M. Kane; Shachar Lovett; Sankeerth Rao (Electron. Colloquium Comput. Complex., 2017)

A PRG for Boolean PTF of Degree 2 with Seed Length Subpolynomial in epsilon and Logarithmic in n. - Daniel Kane 001; Sankeerth Rao (CCC, 2018)

Torus polynomials: an algebraic approach to ACC lower bounds. - Abhishek Bhrushundi; Kaave Hosseini; Shachar Lovett; Sankeerth Rao (Electron. Colloquium Comput. Complex., 2018)

Communication and Memory Efficient Testing of Discrete Distributions. - Ilias Diakonikolas; Themis Gouleakis; Daniel M. Kane; Sankeerth Rao (COLT, 2019)

On the Number of Distinct k-Decks: Enumeration and Bounds. - Johan Chrisnata; Han Mao Kiah; Sankeerth Rao; Alexander Vardy; Eitan Yaakobi; Hanwen Yao (ISCIT, 2019)

The Independence Number of the Birkhoff Polytope Graph, and Applications to Maximally Recoverable Codes. - Daniel Kane 001; Shachar Lovett; Sankeerth Rao (SIAM J. Comput., 2019)

Codes over integers, and the singularity of random matrices with large entries. - Sankeerth Rao Karingula; Shachar Lovett (Electron. Colloquium Comput. Complex., 2020)

Probabilistic existence of large sets of designs. - Shachar Lovett; Sankeerth Rao; Alexander Vardy (J. Comb. Theory A, 2020)

What not to do when your data is lost ? - Sankeerth Rao Karingula (2020)

Singularity of Random Integer Matrices with Large Entries. - Sankeerth Rao Karingula; Shachar Lovett (APPROX-RANDOM, 2021)

Boosted Embeddings for Time-Series Forecasting. - Sankeerth Rao Karingula; Nandini Ramanan; Rasool Tahmasbi; Mehrnaz Amjadi; Deokwoo Jung; Ricky Si; Charanraj Thimmisetty; Luisa F. Polanía; Marjorie Sayer; Jake Taylor; Claudionor Nunes Coelho (LOD, 2021)

Boosted Embeddings for Time Series Forecasting. - Sankeerth Rao Karingula; Nandini Ramanan; Rasool Tahsambi; Mehrnaz Amjadi; Deokwoo Jung; Ricky Si; Charanraj Thimmisetty; Claudionor José Nunes Coelho Jr. (CoRR, 2021)

Time Series Anomaly Detection with label-free Model Selection. - Deokwoo Jung; Nandini Ramanan; Mehrnaz Amjadi; Sankeerth Rao Karingula; Jake Taylor; Claudionor José Nunes Coelho Jr. (CoRR, 2021)

Lower bounds on the redundancy of linear codes with disjoint repair groups. - Sankeerth Rao Karingula; Alexander Vardy; Mary Wootters (ISIT, 2022)

Sketching based Representations for Robust Image Classification with Provable Guarantees. - Nishanth Dikkala; Sankeerth Rao Karingula; Raghu Meka; Jelani Nelson; Rina Panigrahy; Xin Wang 016 (NeurIPS, 2022)

On the number of distinct k-decks: Enumeration and bounds. - Johan Chrisnata; Han Mao Kiah; Sankeerth Rao Karingula; Alexander Vardy; Eitan Yaakobi; Hanwen Yao (Adv. Math. Commun., 2023)