This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Google Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Jakub Dominik Adamek: Inventor in Machine Learning-Based Text Editing.
Introduction
Jakub Dominik Adamek is an inventor associated with Zurich, Switzerland, and Google Inc. His patent work concerns machine learning methods for generating and editing text.
Latest Patents
Adamek is associated with 1 patent, titled “Semi-autoregressive text editing.” The invention describes a flexible text-editing approach that combines elements of non-autoregressive editing and autoregressive decoding. Its aim is to support flexible transformations between input and output text while enabling faster inference than conventional sequence-to-sequence models.
Career Highlights
The available information connects Adamek’s work to Google Inc. and to research in machine learning-based text generation and editing. The patent highlights an approach designed to balance efficient text generation with the ability to model varied input-output transformations.
Collaborations
Adamek’s listed coworker is Jonathan Stephen Mallinson. Their association reflects a shared connection to work on machine learning-based text editing.
Conclusion
Jakub Dominik Adamek’s patent focuses on making text editing both flexible and efficient through a semi-autoregressive approach to machine learning.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile