| Neural joint source-channel coding K Choi, K Tatwawadi, A Grover, T Weissman, S Ermon International Conference on Machine Learning, 1182-1192, 2019 | 124 | 2019 |
| Elf-vc: Efficient learned flexible-rate video coding O Rippel, AG Anderson, K Tatwawadi, S Nair, C Lytle, L Bourdev Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 109 | 2021 |
| 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 | 108 | 2018 |
| Deepzip: Lossless data compression using recurrent neural networks M Goyal, K Tatwawadi, S Chandak, I Ochoa arXiv preprint arXiv:1811.08162, 2018 | 97 | 2018 |
| SPRING: a next-generation compressor for FASTQ data S Chandak, K Tatwawadi, I Ochoa, M Hernaez, T Weissman Bioinformatics 35 (15), 2674-2676, 2019 | 85 | 2019 |
| 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 | 84 | 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 | 69 | 2018 |
| 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 | 58 | 2020 |
| DZip: Improved general-purpose loss less compression based on novel neural network modeling M Goyal, K Tatwawadi, S Chandak, I Ochoa 2021 data compression conference (DCC), 153-162, 2021 | 49 | 2021 |
| Compression of genomic sequencing reads via hash-based reordering: algorithm and analysis S Chandak, K Tatwawadi, T Weissman Bioinformatics 34 (4), 558-567, 2018 | 49 | 2018 |
| 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 | 38 | 2020 |
| NECST: neural joint source-channel coding K Choi, K Tatwawadi, T Weissman, S Ermon | 31 | 2018 |
| GTRAC: fast retrieval from compressed collections of genomic variants K Tatwawadi, M Hernaez, I Ochoa, T Weissman Bioinformatics 32 (17), i479-i486, 2016 | 21 | 2016 |
| On universal compression with constant random access K Tatwawadi, SS Bidokhti, T Weissman 2018 IEEE International Symposium on Information Theory (ISIT), 891-895, 2018 | 18 | 2018 |
| Magnetic DNA random access memory with nanopore readouts and exponentially-scaled combinatorial addressing B Lau, S Chandak, S Roy, K Tatwawadi, M Wootters, T Weissman, HP Ji Scientific Reports 13 (1), 8514, 2023 | 12 | 2023 |
| Deepzip: Lossless compression using recurrent networks K Tatwawadi URL https://web. stanford. edu/class/cs224n/reports/2761006. pdf, 2018 | 12 | 2018 |
| 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 | 9 | 2018 |
| Impact of lossy compression of nanopore raw signal data on basecalling and consensus accuracy S Chandak, K Tatwawadi, S Sridhar, T Weissman Bioinformatics 36 (22-23), 5313-5321, 2020 | 8 | 2020 |
| 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 | 7 | 2020 |
| Humans are still the best lossy image compressors A Bhown, S Mukherjee, S Yang, S Chandak, I Fischer-Hwang, ... arXiv preprint arXiv:1810.11137, 2018 | 7* | 2018 |
Tsachy WeissmanProfessor of Electrical Engineering at Stanford UniversityVerified email at stanford.edu
