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[Submitted on 5 Jul 2024] View a PDF of the paper titled RPN: Reconciled Polynomial Network Towards Unifying PGMs, Kernel SVMs, MLP and KAN, by Jiawei Zhang View PDF Abstract:In this paper, we will introduce a novel deep model named Reconciled Polynomial Network (RPN) for deep function learning. RPN has a very general architecture and can be used to build models with various complexities, capacities, and levels of completeness, which all contribute to the correctness of these models. As indicated in the subtitle, RPN can also serve as the backbone to unify different base models into one canonical representation. This…

[Submitted on 5 Jul 2024] View a PDF of the paper titled NSD-DIL: Null-Shot Deblurring Using Deep Identity Learning, by Sree Rama Vamsidhar S and Rama Krishna Gorthi (Indian Institute of Technology (IIT) Tirupati and 1 other authors View PDF HTML (experimental) Abstract:In this paper, we propose to reformulate the blind image deblurring task to directly learn an inverse of the degradation model using a deep linear network. We introduce Deep Identity Learning (DIL), a novel learning strategy that includes a dedicated regularization term based on the properties of linear systems, to exploit the identity relation between the degradation and…

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Role of Generative AI Agent Assists in the Telecom In today's fast-paced telecom industry, delivering exceptional customer service while maintaining high agent productivity remains a constant challenge. By 2025, Gartner predicts that 80%1 of customer service organizations will turn to generative AI to enhance agent productivity and customer experience. Generative AI Agent Assist solutions like Alepo's are at the forefront of a revolutionary shift in how telecom companies approach customer support and agent enablement. These cutting-edge technologies harness the power of generative AI to provide real-time, contextual assistance to human agents throughout customer interactions. Acting as a knowledgeable copilot, these…