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2 papers hereh-index 232 citations2 works total

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  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

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  • stat.ML1

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most citedA Bayesian Framework for learning governing Partial Differential Equation from Data

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

stat.ML2023★ 2 cited

A Bayesian Framework for learning governing Partial Differential Equation from Data

Kalpesh More, Tapas Tripura, Rajdip Nayek +1

The discovery of partial differential equations (PDEs) is a challenging task that involves both theoretical and empirical methods. Machine learning approaches have been developed a…

stat.ME2022

MAntRA: A framework for model agnostic reliability analysis

Yogesh Chandrakant Mathpati, Kalpesh Sanjay More, Tapas Tripura +2

We propose a novel model agnostic data-driven reliability analysis framework for time-dependent reliability analysis. The proposed approach -- referred to as MAntRA -- combines int…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.