| A Gaussian process latent force model for joint input-state estimation in linear structural systems R Nayek, S Chakraborty, S Narasimhan Mechanical Systems and Signal Processing 128, 497-530, 2019 | 115 | 2019 |
| On spike-and-slab priors for Bayesian equation discovery of nonlinear dynamical systems via sparse linear regression R Nayek, R Fuentes, K Worden, EJ Cross Mechanical Systems and Signal Processing 161, 107986, 2021 | 53 | 2021 |
| Equation discovery for nonlinear dynamical systems: A Bayesian viewpoint R Fuentes, R Nayek, P Gardner, N Dervilis, T Rogers, K Worden, ... Mechanical Systems and Signal Processing 154, 107528, 2021 | 53 | 2021 |
| Extraction of contact-point response in indirect bridge health monitoring using an input estimation approach R Nayek, S Narasimhan Journal of Civil Structural Health Monitoring 10 (5), 815-831, 2020 | 47 | 2020 |
| Mass normalized mode shape identification of bridge structures using a single actuator‐sensor pair R Nayek, S Mukhopadhyay, S Narasimhan Structural Control and Health Monitoring, e2244, 2018 | 24 | 2018 |
| MAntRA: A framework for model agnostic reliability analysis YC Mathpati, KS More, T Tripura, R Nayek, S Chakraborty Reliability Engineering & System Safety 235, 109233, 2023 | 12 | 2023 |
| A Bayesian framework for learning governing partial differential equation from data KS More, T Tripura, R Nayek, S Chakraborty Physica D: Nonlinear Phenomena 456, 133927, 2023 | 10 | 2023 |
| Physics-integrated deep learning for uncertainty quantification and reliability estimation of nonlinear dynamical systems U Tripathi, S Garg, R Nayek, S Chakraborty Probabilistic Engineering Mechanics 72, 103419, 2023 | 8 | 2023 |
| Equation discovery using an efficient variational Bayesian approach with spike-and-slab priors R Nayek, K Worden, EJ Cross Model Validation and Uncertainty Quantification, Volume 3: Proceedings of …, 2022 | 8 | 2022 |
| A review on non-RF underground positioning techniques for mining applications M Zeeshan, M Chavda, KM Ehshan, R Nayek, S Malik IEEE Transactions on Instrumentation and Measurement, 2023 | 7 | 2023 |
| Identification of piecewise-linear mechanical oscillators via Bayesian model selection and parameter estimation R Nayek, AB Abdessalem, N Dervilis, EJ Cross, K Worden Mechanical Systems and Signal Processing 196, 110300, 2023 | 6 | 2023 |
| Girsanov transformation–based reliability modeling and testing of actively controlled structures R Nayek, CS Manohar Journal of Engineering Mechanics 141 (6), 04014168, 2015 | 6 | 2015 |
| Discovering stochastic partial differential equations from limited data using variational Bayes inference YC Mathpati, T Tripura, R Nayek, S Chakraborty Computer Methods in Applied Mechanics and Engineering 418, 116512, 2024 | 3 | 2024 |
| Physics Informed Neural Networks for Free Shear Flows S Raghu, R Nayek, V Chalamalla arXiv preprint arXiv:2404.03542, 2024 | 2 | 2024 |
| Discovering stochastic partial differential equations from limited data using variational Bayes inference YC Mathpati, T Tripura, R Nayek, S Chakraborty arXiv preprint arXiv:2306.15873, 2023 | 2 | 2023 |
| A sparse Bayesian approach to model structure selection and parameter estimation of dynamical systems using spike-and-slab priors R Nayek, K Worden, EJ Cross, R Fuentes ISMA 2020 - International Conference on Noise and Vibration Engineering and …, 2020 | 2 | 2020 |
| Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations S Kumar, R Nayek, S Chakraborty arXiv preprint arXiv:2404.15618, 2024 | 1 | 2024 |
| Approximate Bayesian Inference for Piecewise-Linear Stiffness Systems R Nayek, MAB Abdessalem, N Dervilis, EJ Cross, K Worden Nonlinear Structures & Systems, Volume 1: Proceedings of the 40th IMAC, A …, 2022 | 1 | 2022 |
| Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics S Kumar, R Nayek, S Chakraborty arXiv preprint arXiv:2409.10972, 2024 | | 2024 |
| Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification S Nasir Lone, S De, R Nayek arXiv e-prints, arXiv: 2408.00681, 2024 | | 2024 |
Souvik ChakrabortyAssistant Professor, IIT DelhiEmail confirmado em am.iitd.ac.in