Patents by Inventor Saee Paliwal

Saee Paliwal 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).

  • DISCRETE DIFFUSION MODEL FOR GENERALIST DRUG DISCOVERY
    Publication number: 20260196311
    Abstract: Candidate drug exploration processes utilizing a masked discrete diffusion model with fragment remasking to generate molecular sequences, wherein the operation of the masked discrete diffusion model is conditioned with molecular context guidance, and fragment remasking involves generating molecular fragment candidates, masking the molecular fragment candidates, scoring the molecular fragment candidates, and attaching the molecular fragment candidates to a molecule.
    Type: Application
    Filed: January 8, 2026
    Publication date: July 9, 2026
    Applicant: NVIDIA Corp.
    Inventors: Weili Nie, Seul Lee, Karsten Julian Kreis, Srimukh Prasad Veccham Krishna Prasad, Meng Liu, Daniel Alexander Reidenbach, Saee Paliwal, Arash Vahdat
  • TECHNIQUES FOR GENERATING MOLECULES WITH FRAGMENT RETRIEVAL AUGMENTATION
    Publication number: 20260162761
    Abstract: The disclosed method for generating molecules includes selecting, based on one or more molecule properties, one or more hard molecule fragments and one or more soft molecule fragments; and processing, using a trained machine learning model, the one or more hard molecule fragments and the one or more soft molecule fragments to generate a molecule, where the molecule includes the one or more hard molecule fragments, and the trained machine learning model generates the molecule based on the one or more soft molecule fragments.
    Type: Application
    Filed: March 14, 2025
    Publication date: June 11, 2026
    Inventors: Weili NIE, Karsten KREIS, Seul LEE, Meng LIU, Saee PALIWAL, Srimukh Prasad VECCHAM KRISHNA PRASAD, Daniel Alexander REIDENBACH, Arash VAHDAT
  • TECHNIQUES FOR GENERATING MOLECULES WITH FRAGMENT RETRIEVAL AUGMENTATION
    Publication number: 20250378919
    Abstract: The disclosed method for generating molecules includes selecting, based on one or more molecule properties, one or more hard molecule fragments and one or more soft molecule fragments; and processing, using a trained machine learning model, the one or more hard molecule fragments and the one or more soft molecule fragments to generate a molecule, where the molecule includes the one or more hard molecule fragments, and the trained machine learning model generates the molecule based on the one or more soft molecule fragments.
    Type: Application
    Filed: March 14, 2025
    Publication date: December 11, 2025
    Inventors: Weili NIE, Karsten KREIS, Seul LEE, Meng LIU, Saee PALIWAL, Srimukh Prasad VECCHAM KRISHNA PRASAD, Daniel Alexander REIDENBACH, Arash VAHDAT
  • GRAPH EMBEDDING SYSTEMS AND APPARATUS
    Publication number: 20230401423
    Abstract: Methods and apparatus are provided for generating an embedding of a graph. The graph includes a plurality of nodes and each node includes a connection to another one or more of the nodes. The method including and/or apparatus configured to: receiving data representative of at least a portion of the graph; transforming the nodes of the graph into a non-Euclidean geometry; iteratively updating an embedding model based the transformed nodes in the non-Euclidean geometry based on a causal loss function and a link prediction function associated with the non-Euclidean geometry.
    Type: Application
    Filed: August 4, 2023
    Publication date: December 14, 2023
    Applicant: BenevolentAI Technology Limited
    Inventors: Aaron SIM, Maciej Ludwick Wiatrak, Angus Richard Greville Brayne, Paidi CREED, Saee Paliwal