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个人简介
Being a quant, my research interests lie at the intersection of stats and computer science. Hence, Machine Learning was a natural choice for me, even before it became a hype!
Currently, I am interested in the broad area of integrating symbolic knowledge with neural networks. Specifically, looking at how to train neural models for solving symbolic tasks? What are the different ways of learning better neural models by augmenting them with domain knowledge? How can we efficiently integrate differentiable symbolic solvers with neural networks for end-to-end training of neuro-symbolic architectures?
Currently, I am interested in the broad area of integrating symbolic knowledge with neural networks. Specifically, looking at how to train neural models for solving symbolic tasks? What are the different ways of learning better neural models by augmenting them with domain knowledge? How can we efficiently integrate differentiable symbolic solvers with neural networks for end-to-end training of neuro-symbolic architectures?
研究兴趣
论文共 11 篇作者统计合作学者相似作者
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Gaurav Pandey,Yatin Nandwani,Tahira Naseem, Mayank Mishra,Guangxuan Xu,Dinesh Raghu, Sachindra Joshi, Asim Munawar,Ramón Fernandez Astudillo
CoRR (2024)
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Artificial Intelligence (2024): 104119
Ojas Gramopadhye, Saeel Sandeep Nachane, Prateek Chanda,Ganesh Ramakrishnan, Kshitij Sharad Jadhav,Yatin Nandwani,Dinesh Raghu, Sachindra Joshi
arxiv(2024)
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Frontiers in Artificial Intelligence and Applications (2023): 430-459
arxiv(2021)
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