58 citations · 94 across the 12 of their papers we have counts for
6 papers · 1 filter
DeepZip: Lossless Data Compression using Recurrent Neural Networks
Mohit Goyal, Kedar Tatwawadi, Shubham Chandak +1
Sequential data is being generated at an unprecedented pace in various forms, including text and genomic data. This creates the need for efficient compression mechanisms to enable…
Neural Joint Source-Channel Coding
Kristy Choi, Kedar Tatwawadi, Aditya Grover +2
For reliable transmission across a noisy communication channel, classical results from information theory show that it is asymptotically optimal to separate out the source and chan…
Towards improved lossy image compression: Human image reconstruction with public-domain images
Ashutosh Bhown, Soham Mukherjee, Sean Yang +5
Lossy image compression has been studied extensively in the context of typical loss functions such as RMSE, MS-SSIM, etc. However, compression at low bitrates generally produces un…
IncSQL: Training Incremental Text-to-SQL Parsers with Non-Deterministic Oracles
Tianze Shi, Kedar Tatwawadi, Kaushik Chakrabarti +3
We present a sequence-to-action parsing approach for the natural language to SQL task that incrementally fills the slots of a SQL query with feasible actions from a pre-defined inv…
Robust Text-to-SQL Generation with Execution-Guided Decoding
Chenglong Wang, Kedar Tatwawadi, Marc Brockschmidt +4
We consider the problem of neural semantic parsing, which translates natural language questions into executable SQL queries. We introduce a new mechanism, execution guidance, to le…
Minimax redundancy for Markov chains with large state space
Kedar Shriram Tatwawadi, Jiantao Jiao, Tsachy Weissman
For any Markov source, there exist universal codes whose normalized codelength approaches the Shannon limit asymptotically as the number of samples goes to infinity. This paper inv…