Rajdip Nayek

16 papers Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From local interactions to global operators: Scalable Gaussian process operator for physical systems. J. Comput. Phys. Sawan Kumar, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty
2026	J	`jnl`	Machine learning assisted state prediction of misspecified linear dynamical system via modal reduction. CoRR Rohan Vitthal Thorat, Rajdip Nayek
2025	J	`jnl`	A recursive Bayesian neural network for constitutive modeling of sands under monotonic loading. CoRR Toiba Noor, Soban Nasir Lone, G. V. Ramana, Rajdip Nayek
2025	J	`jnl`	From Local Interactions to Global Operators: Scalable Gaussian Process Operator for Physical Systems. CoRR Sawan Kumar, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty
2025	J	`jnl`	Probabilistic Digital Twin for Misspecified Structural Dynamical Systems via Latent Force Modeling and Bayesian Neural Networks. CoRR Sahil Kashyap, Rajdip Nayek
2025	J	`jnl`	Safe Reinforcement Learning-Based Vibration Control: Overcoming Training Risks with LQR Guidance. CoRR Rohan Vitthal Thorat, Juhi Singh, Rajdip Nayek
2024	J	`jnl`	Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification. CoRR Soban Nasir Lone, Subhayan De, Rajdip Nayek
2024	J	`jnl`	Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations. CoRR Sawan Kumar, Rajdip Nayek, Souvik Chakraborty
2024	J	`jnl`	Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics. CoRR Sawan Kumar, Rajdip Nayek, Souvik Chakraborty
2023	J	`jnl`	A Bayesian Framework for learning governing Partial Differential Equation from Data. CoRR Kalpesh Sanjay More, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty
2023	J	`jnl`	A Review on Non-RF Underground Positioning Techniques for Mining Applications. IEEE Trans. Instrum. Meas. Mohammad Zeeshan, Mudra Chavda, Khan Mohammad Ehshan, Rajdip Nayek, Shahid Malik
2023	J	`jnl`	Discovering stochastic partial differential equations from limited data using variational Bayes inference. CoRR Yogesh Chandrakant Mathpati, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty
2023	J	`jnl`	MAntRA: A framework for model agnostic reliability analysis. Reliab. Eng. Syst. Saf. Yogesh Chandrakant Mathpati, Kalpesh Sanjay More, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty
2022	J	`jnl`	MAntRA: A framework for model agnostic reliability analysis. CoRR Yogesh Chandrakant Mathpati, Kalpesh Sanjay More, Tapas Tripura, Rajdip Nayek, Souvik Chakraborty
2020	J	`jnl`	On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression. CoRR Rajdip Nayek, Ramón Fuentes, Keith Worden, Elizabeth J. Cross
2019	J	`jnl`	A Gaussian process latent force model for joint input-state estimation in linear structural systems. CoRR Rajdip Nayek, Souvik Chakraborty, Sriram Narasimhan