Palo Alto, CA, United States of America

Benjamin Poole

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2020-2023

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2 patents (USPTO):

Title: Innovations of Benjamin Poole

Introduction

Benjamin Poole is an accomplished inventor based in Palo Alto, CA. He has made significant contributions to the field of neural networks, particularly through his work on variational autoencoders. With a total of 2 patents, Poole's innovations are paving the way for advancements in data compression and decompression.

Latest Patents

One of Benjamin Poole's latest patents is titled "Committed Information Rate Variational Autoencoders." This patent describes a variational autoencoder (VAE) neural network system that includes an encoder neural network designed to encode an input data item. The system defines a posterior distribution for a set of latent variables and features a decoder neural network that generates an output data item. This output represents values of a set of latent variables sampled from the posterior distribution. The system is configured for training with an objective function that includes a term dependent on the difference between the posterior distribution and a prior distribution. Notably, the prior and posterior distributions are arranged so that they cannot be matched to one another. The VAE system may be utilized for compressing and decompressing data.

Career Highlights

Benjamin Poole is currently employed at DeepMind Technologies Limited, where he continues to innovate in the field of artificial intelligence. His work focuses on enhancing neural network systems, contributing to the broader understanding and application of machine learning technologies.

Collaborations

Some of Benjamin Poole's notable coworkers include Aaron Gerard Antonius Van Den Oord and Ali Razavi-Nematollahi. Their collaborative efforts contribute to the innovative environment at DeepMind Technologies Limited.

Conclusion

Benjamin Poole's work in variational autoencoders represents a significant advancement in neural network technology. His contributions are essential for the future of data processing and machine learning applications.

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