San Jose, California
United States
31
2026-05-12
The entities that hold a legal rights for patent applications filed by inventor Singh Rishabh:
Rishabh Singh from San Jose, US has applied for patents for these inventions. The list has both pending applications and granted patents:
Training and/or using machine learning model(s) for automatic generation of test case(s) for source code
#2 | 2026-05-05Annotations for developers
#3 | 2025-07-08Robust natural language based control of computer applications
#4 | 2025-03-13ADAPTING EXISTING SOURCE CODE SNIPPETS TO NEW CONTEXTS
#5 | 2025-01-23TRAINING AND APPLICATION OF BOTTLENECK MODELS AND EMBEDDINGS
#6 | 2024-11-28ITERATIVE NEURAL CODE TRANSLATION
#7 | 2024-10-31SYNTHESIZING PROGRAMS IN A SPREADSHEET PROGRAMMING LANGUAGE
#8 | 2024-08-15GENERATING LEARNED REPRESENTATIONS OF DIGITAL CIRCUIT DESIGNS
#9 | 2024-06-27Systems and Methods for Synthesizing Code from Input and Output Examples
#10 | 2024-06-06HIERARCHICAL TRANSLATION BETWEEN LOW-LEVEL PROGRAMMING LANGUAGES AND HIGH-LEVEL PROGRAMMING LANGUAGES
#11 | 2024-06-06Iterative neural code translation
#12 | 2024-05-30Predicting and/or applying symbolic transformation templates
#13 | 2024-04-16Using natural language latent representation in automated conversion of source code from base programming language to target programming language
#14 | 2024-02-01Adapting existing source code snippets to new contexts
#15 | 2024-01-02Robust natural language based control of computer applications
#16 | 2023-11-09VARYING EMBEDDING(S) AND/OR ACTION MODEL(S) UTILIZED IN AUTOMATIC GENERATION OF ACTION SET RESPONSIVE TO NATURAL LANGUAGE REQUEST
#17 | 2023-11-02Translating large source code using sparse self- attention
#18 | 2023-10-12Translating between programming languages independently of sequence-to-sequence decoders
#19 | 2023-07-04Using natural language latent representation in automated conversion of source code from base programming language to target programming language
#20 | 2023-06-15Systems and methods for synthesizing code from input and output examples
#21 | 2023-02-09Synthesizing programs in a spreadsheet programming language
#22 | 2023-01-19Conditioning autoregressive language model to improve code migration
#23 | 2023-01-05Adapting existing source code snippets to new contexts
#24 | 2022-11-01Training and/or using neural network model to generate target source code from lower-level representation
#25 | 2022-07-28Adapting existing source code snippets to new contexts
#26 | 2022-06-30Conditioning autoregressive language model to improve code migration
#27 | 2022-06-09Systems and methods for synthesizing code from input and output examples
#28 | 2021-12-09USER INTERFACE(S) RELATED TO SYNTHESIZING PROGRAMS IN A SPREADSHEET PROGRAMMING LANGUAGE
#29 | 2021-12-09Synthesizing programs in a spreadsheet programming language
#30 | 2021-01-21Systems and methods for synthesizing code from input and output examples
#31 | 2020-07-23Action selection using interaction history graphs
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