MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202641088570 A) filed by B Swaroopa Rani; and Dr. A. Raji Reddy on July 21, 2026, for System And Method For Noise-Aware Representation Learning Using Probabilistic Signal Reconstruction Models.
Inventors include M Ravindran; V Ravindra Naik; Sanjib Kumar Nayak; Ramesh Bhookya; K Ranjith Reddy; and A Kiran Kumar.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: A method for noise-aware representation learning using a probabilistic signal reconstruction model (104) is disclosed. The method includes receiving, by one or more processors, an input signal. The method includes determining, by the one or more processors, a noise characterization associated with the input signal. The method includes generating a probabilistic signal representation based on the input signal and the noise characterization using the probabilistic signal reconstruction model. The method includes reconstructing the input signal from the probabilistic signal representation using the probabilistic signal reconstruction model. The method includes determining a reconstruction discrepancy based on the input signal and the reconstructed input signal. The method includes updating one or more parameters of the probabilistic signal reconstruction model based on the reconstruction discrepancy and the noise characterization. The method includes generating a noise-aware latent representation of the input signal using the updated probabilistic signal reconstruction model for noise-aware representation learning.
Disclaimer: Curated by HT Syndication.
