Rajdip Nayek
Orcid: 0000-0003-4277-8382
According to our database1,
Rajdip Nayek
authored at least 11 papers
between 2019 and 2025.
Collaborative distances:
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Bibliography
2025
From Local Interactions to Global Operators: Scalable Gaussian Process Operator for Physical Systems.
CoRR, June, 2025
A recursive Bayesian neural network for constitutive modeling of sands under monotonic loading.
CoRR, January, 2025
2024
Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics.
CoRR, 2024
Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification.
CoRR, 2024
Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations.
CoRR, 2024
2023
Reliab. Eng. Syst. Saf., July, 2023
IEEE Trans. Instrum. Meas., 2023
Discovering stochastic partial differential equations from limited data using variational Bayes inference.
CoRR, 2023
CoRR, 2023
2020
On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression.
CoRR, 2020
2019
A Gaussian process latent force model for joint input-state estimation in linear structural systems.
CoRR, 2019