Patents by Inventor Sourav Suman

Sourav Suman 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).

  • Discovering causal relationships in mixed datasets
    Patent number: 12008589
    Abstract: Introduced here are approaches to determining causal relationships in mixed datasets containing data related to continuous variables and discrete variables. To accomplish this, a marketing insight and intelligence platform may employ a multi-phase approach in which dependency is established before the data related to continuous variables is discretized. Such an approach ensures that information regarding dependence is not lost through discretization.
    Type: Grant
    Filed: July 31, 2023
    Date of Patent: June 11, 2024
    Assignee: Adobe Inc.
    Inventors: Ayush Chauhan, Vineet Malik, Sourav Suman, Siddharth Jain, Gaurav Sinha, Aayush Makharia
  • DISCOVERING CAUSAL RELATIONSHIPS IN MIXED DATASETS
    Publication number: 20230385854
    Abstract: Introduced here are approaches to determining causal relationships in mixed datasets containing data related to continuous variables and discrete variables. To accomplish this, a marketing insight and intelligence platform may employ a multi-phase approach in which dependency is established before the data related to continuous variables is discretized. Such an approach ensures that information regarding dependence is not lost through discretization.
    Type: Application
    Filed: July 31, 2023
    Publication date: November 30, 2023
    Inventors: Ayush Chauhan, Vineet Malik, Sourav Suman, Siddharth Jain, Gaurav Sinha, Aayush Makharia
  • Automated discovery of causal relationships in mixed datasets
    Patent number: 11763325
    Abstract: Introduced here are approaches to determining causal relationships in mixed datasets containing data related to continuous variables and discrete variables. To accomplish this, a marketing insight and intelligence platform may employ a multi-phase approach in which dependency is established before the data related to continuous variables is discretized. Such an approach ensures that information regarding dependence is not lost through discretization.
    Type: Grant
    Filed: November 13, 2020
    Date of Patent: September 19, 2023
    Assignee: Adobe Inc.
    Inventors: Ayush Chauhan, Vineet Malik, Sourav Suman, Siddharth Jain, Gaurav Sinha, Aayush Makharia
  • AUTOMATED DISCOVERY OF CAUSAL RELATIONSHIPS IN MIXED DATASETS
    Publication number: 20220156759
    Abstract: Introduced here are approaches to determining causal relationships in mixed datasets containing data related to continuous variables and discrete variables. To accomplish this, a marketing insight and intelligence platform may employ a multi-phase approach in which dependency is established before the data related to continuous variables is discretized. Such an approach ensures that information regarding dependence is not lost through discretization.
    Type: Application
    Filed: November 13, 2020
    Publication date: May 19, 2022
    Inventors: Ayush Chauhan, Vineet Malik, Sourav Suman, Siddharth Jain, Gaurav Sinha, Aayush Makharia