Follow
Sundara Rajan Srinivasavaradhan
Sundara Rajan Srinivasavaradhan
Research Scientist @ Meta | PhD @ UCLA
Verified email at g.ucla.edu
Title
Cited by
Cited by
Year
Trellis BMA: Coded trace reconstruction on IDS channels for DNA storage
SR Srinivasavaradhan, S Gopi, HD Pfister, S Yekhanin
2021 IEEE International Symposium on Information Theory (ISIT), 2453-2458, 2021
422021
Group testing for overlapping communities
P Nikolopoulos, SR Srinivasavaradhan, T Guo, C Fragouli, S Diggavi
ICC 2021-IEEE International Conference on Communications, 1-7, 2021
392021
On maximum likelihood reconstruction over multiple deletion channels
SR Srinivasavaradhan, M Du, S Diggavi, C Fragouli
2018 IEEE International Symposium on Information Theory (ISIT), 436-440, 2018
332018
Group testing for connected communities
P Nikolopoulos, SR Srinivasavaradhan, T Guo, C Fragouli, S Diggavi
International Conference on Artificial Intelligence and Statistics, 2341-2349, 2021
302021
Community aware group testing
P Nikolopoulos, SR Srinivasavaradhan, T Guo, C Fragouli, S Diggavi
arXiv preprint arXiv:2007.08111, 2020
272020
Distributed computing trade-offs with random connectivity
SR Srinivasavaradhan, L Song, C Fragouli
2018 IEEE International Symposium on Information Theory (ISIT), 1281-1285, 2018
232018
Symbolwise MAP for multiple deletion channels
SR Srinivasavaradhan, M Du, S Diggavi, C Fragouli
2019 IEEE International Symposium on Information Theory (ISIT), 181-185, 2019
182019
An entropy reduction approach to continual testing
SR Srinivasavaradhan, P Nikolopoulos, C Fragouli, S Diggavi
2021 IEEE International Symposium on Information Theory (ISIT), 611-616, 2021
152021
The benefit of being flexible in distributed computation
L Song, SR Srinivasavaradhan, C Fragouli
2017 IEEE Information Theory Workshop (ITW), 289-293, 2017
152017
Dynamic group testing to control and monitor disease progression in a population
SR Srinivasavaradhan, P Nikolopoulos, C Fragouli, S Diggavi
2022 IEEE International Symposium on Information Theory (ISIT), 2255-2260, 2022
142022
Algorithms for reconstruction over single and multiple deletion channels
SR Srinivasavaradhan, M Du, SN Diggavi, C Fragouli
IEEE Transactions on Information Theory 67 (6), 3389-3410, 2020
72020
Group testing for community infections
P Nikolopoulos, SR Srinivasavaradhan, C Fragouli, SN Diggavi
IEEE BITS the Information Theory Magazine 1 (1), 57-68, 2021
52021
Lower bounds and optimal protocols for three-party secure computation
SR Srinivasavaradhan, S Rajakrishnan, A Thangaraj, V Prabhakaran
Information Theory (ISIT), 2016 IEEE International Symposium on, 1361-1365, 2016
4*2016
Equivalence of ML decoding to a continuous optimization problem
SR Srinivasavaradhan, S Diggavi, C Fragouli
2020 IEEE International Symposium on Information Theory (ISIT), 343-348, 2020
32020
Improving group testing via gradient descent
SR Srinivasavaradhan, P Nikolopoulos, C Fragouli, S Diggavi
2022 IEEE International Symposium on Information Theory (ISIT), 2243-2248, 2022
22022
Guest Editorial Special Issue:“From Deletion-Correction to Graph Reconstruction: In Memory of Vladimir I. Levenshtein”
A Barg, L Dolecek, R Gabrys, GOH Katona, J Körner, A McGregor, ...
IEEE Transactions on Information Theory 67 (6), 3187-3189, 2021
12021
Trellis based reconstruction algorithms and inner codes for dna data storage
SM Yekhanin, S Gopi, HD Pfister, SR Srinivasavaradhan
US Patent App. 17/102,972, 2022
2022
Dynamic group testing to control and monitor disease progression in a population (preprint)
SR Srinivasavaradhan, P Nikolopoulos, C Fragouli, S Diggavi
2021
Statistical Inference Applications in Bioinformatics and Epidemiology
SR Srinivasavaradhan
University of California, Los Angeles, 2021
2021
On Maximum Likelihood Reconstruction over Multiple Deletion Channels
S SundaraRajan, M Du, S Diggavi, C Fragouli
IEEE International Symposium on Information Theory (ISIT), 2018
2018
The system can't perform the operation now. Try again later.
Articles 1–20