Inventor

GOODFELLOW IAN

US12 patents

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

GOOGLE LLC

7 patents

US10699191B2Jun 30, 2020

GOOGLE INC

4 patents

US8965112B1Feb 24, 2015

Sequence transcription with deep neural networks

GOOGLE INC54 citations94

US10521718B1Dec 31, 2019

Adversarial training of neural networks

GOOGLE INC38 citations93

US11173599B2Nov 16, 2021

Machine learning methods and apparatus related to predicting motion(s) of object(s) in a robot's environment based on image(s) capturing the object(s) and based on parameter(s) for future robot movement in the environment

GOOGLE INC11 citations83

US9454714B1Sep 27, 2016

Sequence transcription with deep neural networks

GOOGLE INC7 citations80

DEEPMIND TECH LTD

1 patent

US12094474B1Sep 17, 2024

Verifying the provenance of a digital object using watermarking and embeddings

DEEPMIND TECH LTD11 citations75

GOODFELLOW IAN

GOOGLE LLC

Generating larger neural networks

Adversarial training of neural networks

Generating super-resolution images using neural networks

Generating larger neural networks

Adversartail training of neural networks

Sampling from a generator neural network using a discriminator neural network

Increasing security of neural networks by discretizing neural network inputs

GOOGLE INC

Sequence transcription with deep neural networks

Adversarial training of neural networks

Machine learning methods and apparatus related to predicting motion(s) of object(s) in a robot&#39;s environment based on image(s) capturing the object(s) and based on parameter(s) for future robot movement in the environment

Sequence transcription with deep neural networks

DEEPMIND TECH LTD

Verifying the provenance of a digital object using watermarking and embeddings

Machine learning methods and apparatus related to predicting motion(s) of object(s) in a robot's environment based on image(s) capturing the object(s) and based on parameter(s) for future robot movement in the environment