5 citations · 16 across the 8 of their papers we have counts for
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cs.LG2023★ 5 cited
A foundational neural operator that continuously learns without forgetting
Tapas Tripura, Souvik Chakraborty
Machine learning has witnessed substantial growth, leading to the development of advanced artificial intelligence models crafted to address a wide range of real-world challenges sp…
stat.ML2023★ 1 cited
A Bayesian framework for discovering interpretable Lagrangian of dynamical systems from data
Tapas Tripura, Souvik Chakraborty
Learning and predicting the dynamics of physical systems requires a profound understanding of the underlying physical laws. Recent works on learning physical laws involve generaliz…
cs.LG2023★ 2 cited
Waveformer for modelling dynamical systems
N Navaneeth, Souvik Chakraborty
Neural operators have gained recognition as potent tools for learning solutions of a family of partial differential equations. The state-of-the-art neural operators excel at approx…