Patents by Inventor Aleksandr Aleksandrovich MOLCHANOV

Aleksandr Aleksandrovich MOLCHANOV 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: 20220392480
    Abstract: There is provided servers and methods of generating a waveform based on a spectrogram and a noise input. The method includes acquiring a trained flow-based vocoder including invertible blocks, and an untrained feed-forward vocoder including non-invertible blocks, which form a student-teacher network. The method includes executing a training process in the student-teacher network during which the server generates (i) a teacher waveform by the trained flow-based vocoder using a first spectrogram and a first noise input, (ii) a student waveform by the untrained feed-forward vocoder using the first spectrogram and the first noise input, and (iii) a loss value for the given training iteration using the teacher waveform and the student waveform. The server then trains the untrained feed-forward vocoder to generate the waveform. The trained feed-forward vocoder in then used lieu of the trained flow-based vocoder for generating waveforms based on spectrograms and noise inputs.
    Type: Application
    Filed: May 31, 2022
    Publication date: December 8, 2022
    Inventors: Vladimir Vladimirovich KIRICHENKO, Aleksandr Aleksandrovich MOLCHANOV, Dmitry Mikhailovich CHERNENKOV, Artem Valerevich BABENKO, Vladimir Andreevich ALIEV, Dmitry Aleksandrovich BARANCHUK
  • Patent number: 11131790
    Abstract: A method of generating a weather forecast. The method is executable by a server, the server including a processor, the processor configured to execute a Machine Learning Algorithm (MLA). The method comprises: receiving, by the MLA at the given period of time, satellite data for a given geographical region; based on the satellite data, generating by the MLA, a 3D precipitation map for the given geographical region, based on the 3D precipitation map, generating by the MLA the weather forecast for the given period of time for the given geographical region. The MLA is trained based on a prediction of another MLA (based on meteo radar data) and satellite data.
    Type: Grant
    Filed: September 30, 2019
    Date of Patent: September 28, 2021
    Assignee: YANDEX EUROPE AG
    Inventors: Aleksandr Viktorovich Ganshin, Vladimir Sergeevich Ivashkin, Irina Vladimirovna Rudenko, Aleksandr Aleksandrovich Molchanov, Sergey Aleksandrovich Ovcharenko, Ruslan Viktorovich Grokhovetsky, Dmitrii Valentinovich Solomentsev
  • Publication number: 20200309993
    Abstract: A method of generating a weather forecast. The method is executable by a server, the server including a processor, the processor configured to execute a Machine Learning Algorithm (MLA). The method comprises: receiving, by the MLA at the given period of time, satellite data for a given geographical region; based on the satellite data, generating by the MLA, a 3D precipitation map for the given geographical region, based on the 3D precipitation map, generating by the MLA the weather forecast for the given period of time for the given geographical region. The MLA is trained based on a prediction of another MLA (based on meteo radar data) and satellite data.
    Type: Application
    Filed: September 30, 2019
    Publication date: October 1, 2020
    Inventors: Aleksandr Viktorovich GANSHIN, Vladimir Sergeevich IVASHKIN, Irina Vladimirovna RUDENKO, Aleksandr Aleksandrovich MOLCHANOV, Sergey Aleksandrovich OVCHARENKO, Ruslan Viktorovich GROKHOVETSKY, Dmitrii Valentinovich SOLOMENTSEV