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Souvik Chakraborty

G$^{2}$TR: Generalized Grounded Temporal Reasoning for Robot Instruction Following by Combining Large Pre-trained Models

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Oct 10, 2024
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Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics

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Sep 17, 2024
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Harnessing physics-informed operators for high-dimensional reliability analysis problems

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Sep 07, 2024
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Spatio-spectral graph neural operator for solving computational mechanics problems on irregular domain and unstructured grid

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Sep 01, 2024
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Discovering governing equation in structural dynamics from acceleration-only measurements

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Jul 18, 2024
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Generative flow induced neural architecture search: Towards discovering optimal architecture in wavelet neural operator

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May 11, 2024
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Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations

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Apr 24, 2024
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MD-NOMAD: Mixture density nonlinear manifold decoder for emulating stochastic differential equations and uncertainty propagation

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Apr 24, 2024
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PhyPlan: Compositional and Adaptive Physical Task Reasoning with Physics-Informed Skill Networks for Robot Manipulators

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Feb 24, 2024
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Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data

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Jan 08, 2024
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