Patents by Inventor Aleksandr Zamoshchin
Aleksandr Zamoshchin 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).
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Publication number: 20240152490Abstract: A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.Type: ApplicationFiled: January 17, 2024Publication date: May 9, 2024Inventors: David Lisuk, Daniel Erenrich, Guodong Xu, Luis Voloch, Rahul Agarwal, Simon Slowik, Aleksandr Zamoshchin, Andre Frederico Cavalheiro Menck, Anirvan Mukherjee, Daniel Chin
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Patent number: 11907175Abstract: A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.Type: GrantFiled: October 31, 2022Date of Patent: February 20, 2024Assignee: Palantir Technologies Inc.Inventors: David Lisuk, Daniel Erenrich, Guodong Xu, Luis Voloch, Rahul Agarwal, Simon Slowik, Aleksandr Zamoshchin, Andre Frederico Cavalheiro Menck, Anirvan Mukherjee, Daniel Chin
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Publication number: 20230297582Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.Type: ApplicationFiled: May 30, 2023Publication date: September 21, 2023Inventors: Lawrence Manning, Rahul Mehta, Daniel Erenrich, Guillem Palou Visa, Roger Hu, Xavier Falco, Rowan Gilmore, Eli Bingham, Jason Prestinario, Yifei Huang, Daniel Fernandez, Jeremy Elser, Clayton Sader, Rahul Agarwal, Matthew Elkherj, Nicholas Latourette, Aleksandr Zamoshchin
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Patent number: 11704325Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.Type: GrantFiled: July 15, 2022Date of Patent: July 18, 2023Assignee: Palantir Technologies Inc.Inventors: Lawrence Manning, Rahul Mehta, Daniel Erenrich, Guillem Palou Visa, Roger Hu, Xavier Falco, Rowan Gilmore, Eli Bingham, Jason Prestinario, Yifei Huang, Daniel Fernandez, Jeremy Elser, Clayton Sader, Rahul Agarwal, Matthew Elkherj, Nicholas Latourette, Aleksandr Zamoshchin
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Patent number: 11526471Abstract: A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.Type: GrantFiled: November 9, 2020Date of Patent: December 13, 2022Assignee: Palantir Technologies Inc.Inventors: David Lisuk, Daniel Erenrich, Guodong Xu, Luis Voloch, Rahul Agarwal, Simon Slowik, Aleksandr Zamoshchin, Andre Frederico Cavalheiro Menck, Anirvan Mukherjee, Daniel Chin
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Publication number: 20220374454Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.Type: ApplicationFiled: July 15, 2022Publication date: November 24, 2022Inventors: Lawrence Manning, Rahul Mehta, Daniel Erenrich, Guillem Palou Visa, Roger Hu, Xavier Falco, Rowan Gilmore, Eli Bingham, Jason Prestinario, Yifei Huang, Daniel Fernandez, Jeremy Elser, Clayton Sader, Rahul Agarwal, Matthew Elkherj, Nicholas Latourette, Aleksandr Zamoshchin
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Patent number: 11392591Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.Type: GrantFiled: November 13, 2018Date of Patent: July 19, 2022Assignee: Palantir Technologies Inc.Inventors: Lawrence Manning, Rahul Mehta, Daniel Erenrich, Guillem Palou Visa, Roger Hu, Xavier Falco, Rowan Gilmore, Eli Bingham, Jason Prestinario, Yifei Huang, Daniel Fernandez, Jeremy Elser, Clayton Sader, Rahul Agarwal, Matthew Elkherj, Nicholas Latourette, Aleksandr Zamoshchin
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Publication number: 20210082075Abstract: The disclosed computer-implemented method may include implementing factors and conversion probabilities when matching a transportation requestor to a transportation provider. Matches between transportation requestors and transportation providers that rely solely on an estimation of arrival time may not give requestors or providers the best transportation options. Lacking these optimal transportation options, requestors and providers may move to other platforms. By looking at a various transportation factors and conversion probabilities, the method may provide optimal transportation options to both requestors and providers. Various other methods, systems, and computer-readable media are also disclosed.Type: ApplicationFiled: December 17, 2019Publication date: March 18, 2021Inventors: Charles Parker Spielman, Mayank Gulati, Guy-Baptiste Richard de Capele d'Hautpoul, Krishna Kumar Selvam, Aleksandr Zamoshchin
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Publication number: 20210082077Abstract: The disclosed dynamic transportation matching system may include a non-transitory memory and one or more hardware processors configured to execute instructions from the non-transitory memory to perform operations including receiving transportation requests from requestor devices. The dynamic transportation matching system may also identify a set of transportation provider devices and determine an acceptance probability for each provider device to determine a likelihood of accepting a transportation request. Additionally, the dynamic transportation matching system may match a provider device to each transportation request, based on the acceptance probabilities of each provider device for each transportation request, and send the transportation requests to the matched provider devices. Furthermore, the dynamic transportation matching system may send updates about the matches to the requestor devices. Various other methods, systems, and computer-readable media are also disclosed.Type: ApplicationFiled: December 17, 2019Publication date: March 18, 2021Inventors: Mayank Gulati, Charles Parker Spielman, Kirshna Kumar Selvam, Aleksandr Zamoshchin, Arthur Jean, François Braud
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Publication number: 20210082076Abstract: The disclosed computer-implemented method may calculate individual utility metrics for each combination of potential transportation requestors and cancellations to arrive at a more accurate total expected utility for shared transportation. In one embodiment, the method may reduce computation resource requirements by calculating each cancellation probability independently. In some examples, the method may only calculate utility metrics for some fixed number and/or percentage of the most probable combinations. In some embodiments, the method may account for travel time and/or distance when calculating utility metrics. By making matching decisions for shared transportation that account for the possibility of cancellation, the method may improve the efficiency of the transportation network. Various other methods, systems, and computer-readable media are also disclosed.Type: ApplicationFiled: December 17, 2019Publication date: March 18, 2021Inventors: Mayank Gulati, Peter Bansuk Lee, Guy-Baptiste Richard de Capele d'Hautpoul, Krishna Kumar Selvam, Charles Parker Sielman, Aleksandr Zamoshchin
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Publication number: 20210056083Abstract: A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.Type: ApplicationFiled: November 9, 2020Publication date: February 25, 2021Inventors: David Lisuk, Daniel Erenrich, Guodong Xu, Luis Voloch, Rahul Agarwal, Simon Slowik, Aleksandr Zamoshchin, Andre Frederico Cavalheiro Menck, Anirvan Mukherjee, Daniel Chin
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Patent number: 10866936Abstract: A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.Type: GrantFiled: February 8, 2018Date of Patent: December 15, 2020Assignee: Palantir Technologies Inc.Inventors: David Lisuk, Daniel Erenrich, Guodong Xu, Luis Voloch, Rahul Agarwal, Simon Slowik, Aleksandr Zamoshchin, Andre Frederico Cavalheiro Menck, Anirvan Mukherjee, Daniel Chin
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Publication number: 20190079937Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.Type: ApplicationFiled: November 13, 2018Publication date: March 14, 2019Inventors: Lawrence Manning, Rahul Mehta, Daniel Erenrich, Guillem Palou Visa, Roger Hu, Xavier Falco, Rowan Gilmore, Eli Bingham, Jason Prestinario, Yifei Huang, Daniel Fernandez, Jeremy Elser, Clayton Sader, Rahul Agarwal, Matthew Elkherj, Nicholas Latourette, Aleksandr Zamoshchin
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Patent number: 10127289Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.Type: GrantFiled: August 10, 2016Date of Patent: November 13, 2018Assignee: Palantir Technologies Inc.Inventors: Lawrence Manning, Rahul Mehta, Daniel Erenrich, Guillem Palou Visa, Roger Hu, Xavier Falco, Rowan Gilmore, Eli Bingham, Jason Prestinario, Yifei Huang, Daniel Fernandez, Jeremy Elser, Clayton Sader, Rahul Agarwal, Matthew Elkherj, Nicholas Latourette, Aleksandr Zamoshchin
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Publication number: 20170052958Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.Type: ApplicationFiled: August 10, 2016Publication date: February 23, 2017Inventors: Lawrence Manning, Rahul Mehta, Daniel Erenrich, Guillem Palou Visa, Roger Hu, Xavier Falco, Rowan Gilmore, Eli Bingham, Jason Prestinario, Yifei Huang, Daniel Fernandez, Jeremy Elser, Clayton Sader, Rahul Agarwal, Matthew Elkherj, Nicholas Latourette, Aleksandr Zamoshchin