Matthew Ashman

Title: Innovations by Matthew Ashman

Introduction

Matthew Ashman is a notable inventor based in Cambridge, GB. He has made significant contributions to the field of machine learning, particularly in modeling causation. His innovative approach has led to the development of a unique patent that addresses complex problems in this domain.

Latest Patents

Matthew Ashman holds a patent titled "Modelling causation in machine learning." This patent describes a method that involves sampling a temporal causal graph from a temporal graph distribution. It specifies probabilities of directed causal edges between different variables of a feature vector at a present time step, and from one variable at a preceding time step to another variable at the present time step. The method identifies a present parent, which is a cause of the selected variable in the present time step, and a preceding parent, which is a cause of the selected variable from the preceding time step. The process includes inputting values of each identified present and preceding parent into respective encoders, resulting in embeddings. These embeddings are then combined and input into a decoder to reconstruct the value of the selected variable. Matthew Ashman has 1 patent to his name.

Career Highlights

Matthew Ashman is currently employed at Microsoft Technology Licensing, LLC. His work at this prestigious company allows him to further explore and develop his innovative ideas in technology and machine learning.

Collaborations

Some of his notable coworkers include Wenbo Gong and Cheng Zhang. Their collaboration has likely contributed to the advancement of their projects and innovations in the field.

Conclusion

Matthew Ashman is a distinguished inventor whose work in machine learning has led to valuable advancements in the understanding of causation. His contributions continue to influence the field and inspire future innovations.