Inventor

SINGH RISHABH

US55 patents

⚠️ This page may combine multiple inventors who share the name “SINGH RISHABH”. Patents are grouped by organization below to help distinguish them — per-person disambiguation is on the roadmap.

SINGH RISHABH

GOOGLE LLC

Using natural language latent representation in automated conversion of source code from base programming language to target programming language

Training and/or using machine learning model(s) for automatic generation of test case(s) for source code

Annotations for developers

Translating between programming languages independently of sequence-to-sequence decoders

Using natural language latent representation in automated conversion of source code from base programming language to target programming language

Adapting existing source code snippets to new contexts

Systems and methods for synthesizing code from input and output examples

Adapting existing source code snippets to new contexts

Conditioning autoregressive language model to improve code migration

Systems and methods for synthesizing code from input and output examples

Systems and methods for synthesizing code from input and output examples

Synthesizing programs in a spreadsheet programming language

Synthesizing programs in a spreadsheet programming language

Hierarchical translation between low-level programming languages and high-level programming languages

Translating large source code using sparse self- attention

JOHNSON & SON INC S C

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MICROSOFT TECHNOLOGY LICENSING LLC

Automatically converting spreadsheet tables to relational tables

Joining web data with spreadsheet data using examples

Machine learning for constrained mutation-based fuzz testing

Predicting spreadsheet properties

Neural network for program synthesis

Machine learning for input fuzzing

User interaction models for disambiguation in programming-by-example

Learning from input patterns in Programing-By-Example

X DEV LLC

Adapting existing source code snippets to new contexts

Robust natural language based control of computer applications

Training and/or using neural network model to generate target source code from lower-level representation

Conditioning autoregressive language model to improve code migration

Robust natural language based control of computer applications

GULWANI SUMIT

Semantic entity manipulation using input-output examples

Inductive synthesis of table-based string transformations

Expedited techniques for generating string manipulation programs

THURIN MATTHEW N

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MICROSOFT CORP

Ranking for inductive synthesis of string transformations

ROTHSCHILLER CHAD

Formatting data by example

DEEPMIND TECH LTD

Action selection using interaction history graphs

CONDUENT BUSINESS SERVICES LLC

Modelling operational conditions to predict life expectancy and faults of vehicle components in a fleet

CISCO TECH INC

Automatic configuration of software systems for optimal management and performance using machine learning