Patents by Inventor Antonia Phoebe Nina Creswell

Antonia Phoebe Nina Creswell has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20240221362
    Abstract: A computer-implemented video generation neural network system, configured to determine a value for each of a set of object latent variables by sampling from a respective prior object latent distribution for the object latent variable. The system comprises a trained image frame decoder neural network configured to, for each pixel of each generated image frame and for each generated image frame time step process determined values of the object latent variables to determine parameters of a pixel distribution for each of the object latent variables, combine the pixel distributions for each of the object latent variables to determine a combined pixel distribution, and sample from the combined pixel distribution to determine a value for the pixel and for the time step.
    Type: Application
    Filed: May 27, 2022
    Publication date: July 4, 2024
    Inventors: Rishabh Kabra, Daniel Zoran, Goker Erdogan, Antonia Phoebe Nina Creswell, Loic Matthey-de-l'Endroit, Matthew Botvinick, Alexander Lerchner, Christopher Paul Burgess
  • Publication number: 20240161318
    Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for predicting scene transitions. A computer system receives an input sequence of images of a scene with each image corresponding to a different time point in an observation time sequence. For each time point, the system processes the corresponding image using a decomposition neural network to generate one or more feature representations. The system processes the feature representations for the time points using an alignment neural network to generate a set of aligned sequences of feature representations. The system further processes the set of aligned sequences of feature representations using a transition neural network to predict, for each of the aligned sequences of feature representations, one or more feature representations that represent predicted features of the object represented by the aligned sequence at one or more successive time points.
    Type: Application
    Filed: February 3, 2022
    Publication date: May 16, 2024
    Inventor: Antonia Phoebe Nina Creswell
  • Publication number: 20230365146
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a response to a query input using a selection-inference neural network.
    Type: Application
    Filed: May 15, 2023
    Publication date: November 16, 2023
    Inventor: Antonia Phoebe Nina Creswell
  • Publication number: 20230260271
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for aligning entities across time.
    Type: Application
    Filed: July 16, 2021
    Publication date: August 17, 2023
    Inventor: Antonia Phoebe Nina Creswell