Search Results - rushil+anirudh

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Implementing Improved Diversity Using Adversarially Learned Transformations for Domain Generalization
Machine learning models and neural networks in particular can be used in the field of image processing. Machine learning models are trained to better improve their output quality. During training, domain generalization is the problem of making accurate predictions on previously unseen domains, especially when these domains are very different from...
Published: 2/12/2024   |   Inventor(s): Tejas Gokhale, Rushil Anirudh, Jayaraman Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang
Keywords(s): Algorithm Development, Imaging, Machine Learning, Neural Computing, PS-Computing and Information Technology
Category(s): Computing & Information Technology, Physical Science
Unsupervised Audio Source Separation Using Generative Priors
­Background Audio source separation, the process of recovering constituent source signals from a given audio mixture, is a key component in downstream applications such as audio enhancement and music information retrieval. Modern under-determined audio source separation systems rely on supervised training of carefully tailored neural network architectures...
Published: 2/23/2023   |   Inventor(s): Vivek Sivaraman Narayanaswamy, Jayaraman Thiagarajan, Rushil Anirudh, Andreas Spanias
Keywords(s): Networks, IT, Software and Communication
Category(s): Physical Science, Computing & Information Technology, Intelligence & Security