Patents by Inventor Fabian Theis

Fabian Theis 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).

  • MODELLING METHOD USING A CONDITIONAL VARIATIONAL AUTOENCODER
    Publication number: 20220383985
    Abstract: The present invention relates to a computer-implemented method for modelling genomic data represented in an unsupervised neural network, trVAE, comprising a conditional variational autoencoder, CVAE, with an encoder (f) and a decoder (g).
    Type: Application
    Filed: September 25, 2020
    Publication date: December 1, 2022
    Inventors: Fabian Theis, Mohammad Lotfollahi, Fabian Alexander Wolf
  • Parameterizing cell-to-cell regulatory heterogeneities via stochastic transcriptional profiles
    Patent number: 10453555
    Abstract: Regulated changes in gene expression underlie many biological processes, but globally profiling cell-to-cell variations in transcriptional regulation is problematic when measuring single cells. Transcriptome-wide identification of regulatory heterogeneities can be robustly achieved by randomly collecting small numbers of cells followed by statistical analysis. However, this stochastic-profiling approach blurs out the expression states of the individual cells in each pooled sample. Various aspects of the disclosure show that the underlying distribution of single-cell regulatory states can be deconvolved from stochastic-profiling data through maximum-likelihood inference. Guided by the mechanisms of transcriptional regulation, the disclosure provides mixture models for cell-to-cell regulatory heterogeneity which result in likelihood functions to infer model parameters.
    Type: Grant
    Filed: January 19, 2016
    Date of Patent: October 22, 2019
    Assignee: University of Virginia Patent Foundation
    Inventors: Kevin Janes, Sameer Bajikar, Fabian Theis, Christiane Fuchs
  • Method and device for humanizing musical sequences
    Patent number: 7777123
    Abstract: A method for humanizing a music sequence (S), the music sequence (S) comprising a multitude of sounds (s1, . . . , sn) occurring on times (t1, . . . , tn) comprises the steps generating, for each time (ti) a random offset (oi), adding the random offset (oi) to the time (ti) in order to obtain a modified time (ti+oi); and outputting a humanized music sequence (S?) wherein each sound (si) occurs on the modified time (ti+oi). According to the invention, the power spectral density of the random offsets has the form 1 f ? . wherein 0<?<2.
    Type: Grant
    Filed: September 24, 2008
    Date of Patent: August 17, 2010
    Assignee: Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V.
    Inventors: Holger Hennig, Ragnar Fleischmann, Fabian Theis, Theo Geisel
  • METHOD AND DEVICE FOR HUMANIZING MUSICAL SEQUENCES
    Publication number: 20090084250
    Abstract: A method for humanizing a music sequence (S), the music sequence (S) comprising a multitude of sounds (s1, . . . , sn) occurring on times (t1, . . . , tn) comprises the steps generating, for each time (ti) a random offset (oi), adding the random offset (oi) to the time (ti) in order to obtain a modified time (ti+oi); and outputting a humanized music sequence (S?) wherein each sound (si) occurs on the modified time (ti+oi). According to the invention, the power spectral density of the random offsets has the form 1 f ? . wherein 0<?<2.
    Type: Application
    Filed: September 24, 2008
    Publication date: April 2, 2009
    Applicant: Max-Planck-Gesellschaft zur
    Inventors: Holger Hennig, Ragnar Fleischmann, Fabian Theis, Theo Geisel