Kedar Tatwawadi
Kedar Tatwawadi
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Neural joint source-channel coding
K Choi, K Tatwawadi, A Grover, T Weissman, S Ermon
International Conference on Machine Learning, 1182-1192, 2019
38*2019
Incsql: Training incremental text-to-sql parsers with non-deterministic oracles
T Shi, K Tatwawadi, K Chakrabarti, Y Mao, O Polozov, W Chen
arXiv preprint arXiv:1809.05054, 2018
362018
SPRING: a next-generation compressor for FASTQ data
S Chandak, K Tatwawadi, I Ochoa, M Hernaez, T Weissman
Bioinformatics 35 (15), 2674-2676, 2019
302019
Robust text-to-sql generation with execution-guided decoding
C Wang, K Tatwawadi, M Brockschmidt, PS Huang, Y Mao, O Polozov, ...
arXiv preprint arXiv:1807.03100, 2018
292018
Compression of genomic sequencing reads via hash-based reordering: algorithm and analysis
S Chandak, K Tatwawadi, T Weissman
Bioinformatics 34 (4), 558-567, 2018
222018
Deepzip: Lossless data compression using recurrent neural networks
M Goyal, K Tatwawadi, S Chandak, I Ochoa
arXiv preprint arXiv:1811.08162, 2018
152018
GTRAC: fast retrieval from compressed collections of genomic variants
K Tatwawadi, M Hernaez, I Ochoa, T Weissman
Bioinformatics 32 (17), i479-i486, 2016
152016
Improved read/write cost tradeoff in DNA-based data storage using LDPC codes
S Chandak, K Tatwawadi, B Lau, J Mardia, M Kubit, J Neu, P Griffin, ...
2019 57th Annual Allerton Conference on Communication, Control, and …, 2019
132019
Deepzip: Lossless compression using recurrent networks
K Tatwawadi
URL https://web. stanford. edu/class/cs224n/reports/2761006. pdf, 2018
72018
Overcoming high nanopore basecaller error rates for DNA storage via basecaller-decoder integration and convolutional codes
S Chandak, J Neu, K Tatwawadi, J Mardia, B Lau, M Kubit, R Hulett, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
62020
On universal compression with constant random access
K Tatwawadi, SS Bidokhti, T Weissman
2018 IEEE International Symposium on Information Theory (ISIT), 891-895, 2018
62018
Minimax redundancy for Markov chains with large state space
K Tatwawadi, J Jiao, T Weissman
2018 IEEE International Symposium on Information Theory (ISIT), 216-220, 2018
62018
LFZip: Lossy compression of multivariate floating-point time series data via improved prediction
S Chandak, K Tatwawadi, C Wen, L Wang, JA Ojea, T Weissman
2020 Data Compression Conference (DCC), 342-351, 2020
32020
Tutorial on algebraic deletion correction codes
K Tatwawadi, S Chandak
arXiv preprint arXiv:1906.07887, 2019
32019
Impact of lossy compression of nanopore raw signal data on basecalling and consensus accuracy
S Chandak, K Tatwawadi, S Sridhar, T Weissman
BioRxiv, 2020
12020
ELF-VC: Efficient Learned Flexible-Rate Video Coding
O Rippel, AG Anderson, K Tatwawadi, S Nair, C Lytle, L Bourdev
arXiv preprint arXiv:2104.14335, 2021
2021
Reducing latency and bandwidth for video streaming using keypoint extraction and digital puppetry
R Prabhakar, S Chandak, C Chiu, R Liang, H Nguyen, K Tatwawadi, ...
arXiv preprint arXiv:2011.03800, 2020
2020
DZip: improved general-purpose lossless compression based on novel neural network modeling
S Chandak, M Goyal, K Tatwawadi, I Ochoa
2020
Systems and Methods for Compressing Genetic Sequencing Data and Uses Thereof
S Chandak, KS Tatwawadi, T Weissman, I Ochoa, M Hernaez
US Patent App. 16/545,751, 2020
2020
Efficient Storage of and in DNA
KS Tatwawadi
Stanford University, 2020
2020
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Articles 1–20