MUMBAI, India, July 31 -- Intellectual Property India has published a patent application (202541004788 A) filed by Hewlett Packard Enterprise Development Lp on January 21, 2025, for Perturbation Analytics Of Machine Learning Models.
Inventors include Gill, Mantej Singh; Babulal, Anil; Kumar, Tarun; and Sathyanarayanamurthy, Dhamodhran.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: Systems and methods are provided for implement a perturbation technique of a subset of input time series data (e.g., a “motif”) provided to a machine learning model to help determine the effect of the motif on the inference of the model, absent any knowledge of the weights/biases corresponding with that particular motif in the input data. The replacement of the motif may be implemented to help describe the significance of a repeating pattern in the time series data with respect to its effect on the inference output. FIG.2
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