Jayanth Srinivasa's research while affiliated with Cisco Systems, Inc and other places

Publications (2)

Article
Full-text available
This paper introduces a new metamodel-based knowledge representation that significantly improves autonomous learning and adaptation. While interest in hybrid machine learning / symbolic AI systems leveraging, for example, reasoning and knowledge graphs, is gaining popularity, we find there remains a need for both a clear definition of knowledge and...
Preprint
This paper introduces a new metamodel-based knowledge representation that significantly improves autonomous learning and adaptation. While interest in hybrid machine learning / symbolic AI systems leveraging, for example, reasoning and knowledge graphs, is gaining popularity, we find there remains a need for both a clear definition of knowledge and...

Citations

... Graph and Hypergraph based Integration: The integration via graph and hypergraph provides an effective capturing relationship between symbolic and sub-symbolic (neural network level), independency on programming language, and most importantly, preserves the topological dependency of information [158]. Graph representations are inherently compositional in nature and allow us to capture entities, attributes and relations in a scalable manner. ...