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Mountain View, CA, United States of America

Gdm Holding LLC

Calculating rank

USPTO Granted Patents = 94

EPO Patents = 53

Forward Citations = 4

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382 inventors (with patents filed for the assignee):

Oriol Vinyals (10 out of 89 patents)

Karen Simonyan (7 out of 47 patents)

David Silver (4 out of 36 patents)

4. Nicolas Manfred Otto Heess (4 out of 25 patents)

5. Jack William Rae (4 out of 15 patents)

6. Martin Riedmiller (4 out of 10 patents)

7. Julian Schrittwieser (4 out of 7 patents)

8. Florent Altché (4 out of 4 patents)

9. Ioannis Alexandros Assael (3 out of 11 patents)

10. Aaron Gerard Antonius Van Den Oord (3 out of 32 patents)

11. Sander Etienne Lea Dieleman (3 out of 18 patents)

12. Razvan Pascanu (3 out of 24 patents)

13. Koray Kavukcuoglu (3 out of 36 patents)

14. Danilo Jimenez Rezende (3 out of 14 patents)

15. Remi Munos (3 out of 12 patents)

Core Competencies:

Reinforcement Learning

Neural Networks

Robotic Control

Multi-Agent Systems

Attention Mechanisms

Simulation

Generative Models

Task Automation

Data Encoding

Scene Understanding

Video Generation

Object Representation

94 patents: Sort by Forward Citations

1. 12777197 - Out-of-loop filtering with video-specific machine-learned model (2026-10-27),

2. 12776329 - Generating output signals using variable-rate discrete representations (2026-10-27),

3. 12775845 - Distributional reinforcement learning using quantile function neural networks (2026-10-27),

4. 12769985 - Generating multimodal data using a media item generation neural network and a token generation neural network (2026-10-20),

5. 12764414 - Training camera policy neural networks through self-prediction (2026-10-13),

6. 12764303 - Rate control machine learning models with feedback control for video encoding (2026-10-13),

7. 12763083 - Bandwidth extension of incoming data using neural networks (2026-10-13),

8. 12762423 - Reinforcement learning using hindsight to model unpredictable aspects of the future (2026-10-13),

9. 12762409 - Predicting protein structural stability using intermediate outputs of a protein structure prediction neural network (2026-10-13),

10. 12762381 - Importance signaling tokens in generative neural network context blocks (2026-10-13),

11. 12750386 - Performing tasks using a network of agents with an improved security level (2026-09-29),

12. 12748991 - Hierarchical policies for multitask transfer (2026-09-29),

13. 12748955 - Reinforcement learning with adaptive return computation schemes (2026-09-29),

14. 12748440 - Controlling robots using latent action vector conditioned controller neural networks (2026-09-29),

15. 12746662 - Simulating multiple robots in virtual environments (2026-09-29),

Company Overview

Gdm Holding LLC, based in Mountain View, CA, specializes in advanced technologies centered around reinforcement learning and neural networks. The company focuses on developing innovative solutions for robotic control, multi-agent systems, and attention mechanisms, facilitating enhanced task automation and simulation capabilities. By leveraging generative models, Gdm Holding aims to push the boundaries of artificial intelligence applications, contributing to various sectors that require intelligent decision-making and adaptive learning systems.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

94 Patents

#38 in Mountain View, CA

#929 in California

#3,987 in US

#8,211 in the World

Mountain View, CA, United States of America

Gdm Holding LLC

Forward Citations = 4

382 inventors:

Oriol Vinyals (10 out of 89 patents)

Karen Simonyan (7 out of 47 patents)

David Silver (4 out of 36 patents)

4. Nicolas Manfred Otto Heess (4 out of 25 patents)

5. Jack William Rae (4 out of 15 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Gdm Holding LLC. Retrieved from https://idiyas.com/company/gdm-holding

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

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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