Rishabh Singh
42Patents
6h-index
80Co-inventors
68Inventor score
Filing activity: Jan 26, 2011 → Jan 9, 2024
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US8799234B2 | Semantic entity manipulation using input-output examples | Physics | 26 | Active |
| US11693637B1 | Using natural language latent representation in automated conversion of source code from base programming language to target programming language | Physics | 11 | Active |
| US9002758B2 | Ranking for inductive synthesis of string transformations | Physics | 11 | Active |
| US10409892B2 | Formatting data by example | Physics | 11 | Active |
| US8650207B2 | Inductive synthesis of table-based string transformations | Physics | 8 | Active |
| US10452526B2 | Machine learning for constrained mutation-based fuzz testing | Physics | 7 | Active |
| US11487522B1 | Training and/or using neural network model to generate target source code from lower-level representation | Physics | 6 | Active |
| US10599627B2 | Automatically converting spreadsheet tables to relational tables | Physics | 5 | Active |
| US11775271B1 | Annotations for developers | Physics | 4 | Active |
| US9552335B2 | Expedited techniques for generating string manipulation programs | Physics | 4 | Active |
| US10795645B2 | Neural network for program synthesis | Physics | 4 | Active |
| US11861263B1 | Robust natural language based control of computer applications | Physics | 3 | Active |
| US11461081B2 | Adapting existing source code snippets to new contexts | Physics | 3 | Active |
| US11899566B1 | Training and/or using machine learning model(s) for automatic generation of test case(s) for source code | Physics | 3 | Active |
| US10713429B2 | Joining web data with spreadsheet data using examples | Electricity | 2 | Active |
| US11200139B2 | Automatic configuration of software systems for optimal management and performance using machine learning | Physics | 2 | Active |
| US10983853B2 | Machine learning for input fuzzing | Physics | 1 | Active |
| US10528328B2 | Learning from input patterns in Programing-By-Example | Physics | 1 | Active |
| US11636347B2 | Action selection using interaction history graphs | Physics | 1 | Active |
| US9891895B2 | User interaction models for disambiguation in programming-by-example | Physics | 1 | Active |
| US11256485B2 | Systems and methods for synthesizing code from input and output examples | Physics | 1 | Active |
| US11822909B2 | Adapting existing source code snippets to new contexts | Physics | 1 | Active |
| US11875139B2 | Systems and methods for synthesizing code from input and output examples | Physics | 0 | Active |
| US11481210B2 | Conditioning autoregressive language model to improve code migration | Physics | 0 | Active |
| US12417084B2 | Hierarchical translation between low-level programming languages and high-level programming languages | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.