Dietikon, Switzerland

Thomas Müller

This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Google Inc.. Active years: 2024-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Thomas Müller. Retrieved from https://idiyas.com/inventor/thomas-müller-lb0ehyyp

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Thomas Müller: Innovator in Language Model Training

Introduction

Thomas Müller is a notable inventor based in Dietikon, Switzerland. He has made significant contributions to the field of language models, particularly in the area of reasoning over tables. With a total of 2 patents, his work is paving the way for advancements in artificial intelligence.

Latest Patents

Müller's latest patents focus on systems and methods for training language models to reason over tables. These innovations involve pre-training and fine-tuning neural-network-based language models to reason directly over tables without generating logical forms. In some examples, a language model can be pre-trained using masked-language modeling tasks that are synthetically generated from tables pulled from a knowledge corpus. Furthermore, the language model may be further pre-trained using pairs of counterfactual statements generated from those tables, and/or one or more statements that compare selected data from those tables. The fine-tuning process allows for examples that include only a question, an answer, and a table, enabling fine-tuning examples to be harvested directly from existing benchmark datasets or synthetically generated.

Career Highlights

Thomas Müller is currently employed at Google Inc., where he continues to innovate in the field of artificial intelligence. His work has garnered attention for its potential applications in various industries, particularly in enhancing the capabilities of language models.

Collaborations

Müller has collaborated with notable colleagues such as Julian Eisenschlos and Jonathan Herzig. Their combined expertise contributes to the advancement of language model technologies.

Conclusion

Thomas Müller is a prominent figure in the realm of language model innovation, with a focus on reasoning over tables. His contributions are shaping the future of artificial intelligence and language processing technologies.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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