| Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons AF Psaros, X Meng, Z Zou, L Guo, GE Karniadakis Journal of Computational Physics 477, 111902, 2023 | 291 | 2023 |
| Meta-learning PINN loss functions AF Psaros, K Kawaguchi, GE Karniadakis Journal of computational physics 458, 111121, 2022 | 119 | 2022 |
| Sparse representations and compressive sampling approaches in engineering mechanics: A review of theoretical concepts and diverse applications IA Kougioumtzoglou, I Petromichelakis, AF Psaros Probabilistic Engineering Mechanics 61, 103082, 2020 | 73 | 2020 |
| Stochastic response determination and optimization of a class of nonlinear electromechanical energy harvesters: A Wiener path integral approach I Petromichelakis, AF Psaros, IA Kougioumtzoglou Probabilistic Engineering Mechanics 53, 116-125, 2018 | 64 | 2018 |
| Wiener path integral based response determination of nonlinear systems subject to non-white, non-Gaussian, and non-stationary stochastic excitation AF Psaros, O Brudastova, G Malara, IA Kougioumtzoglou Journal of Sound and Vibration 433, 314-333, 2018 | 57 | 2018 |
| Neuraluq: A comprehensive library for uncertainty quantification in neural differential equations and operators Z Zou, X Meng, AF Psaros, GE Karniadakis SIAM Review 66 (1), 161-190, 2024 | 55 | 2024 |
| Sparse representations and compressive sampling for enhancing the computational efficiency of the Wiener path integral technique AF Psaros, IA Kougioumtzoglou, I Petromichelakis Mechanical Systems and Signal Processing 111, 87-101, 2018 | 53 | 2018 |
| Wiener path integrals and multi-dimensional global bases for non-stationary stochastic response determination of structural systems AF Psaros, I Petromichelakis, IA Kougioumtzoglou Mechanical Systems and Signal Processing 128, 551-571, 2019 | 48 | 2019 |
| Stochastic response determination of nonlinear structural systems with singular diffusion matrices: A Wiener path integral variational formulation with constraints I Petromichelakis, AF Psaros, IA Kougioumtzoglou Probabilistic Engineering Mechanics 60, 103044, 2020 | 31 | 2020 |
| Stochastic response analysis and reliability-based design optimization of nonlinear electromechanical energy harvesters with fractional derivative elements I Petromichelakis, AF Psaros, IA Kougioumtzoglou ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2021 | 30 | 2021 |
| An exact closed-form solution for linear multi-degree-of-freedom systems under Gaussian white noise via the Wiener path integral technique AF Psaros, Y Zhao, IA Kougioumtzoglou Probabilistic Engineering Mechanics 60, 103040, 2020 | 26 | 2020 |
| Functional series expansions and quadratic approximations for enhancing the accuracy of the Wiener path integral technique AF Psaros, IA Kougioumtzoglou Journal of Engineering Mechanics 146 (7), 04020065, 2020 | 25 | 2020 |
| Uncertainty quantification of nonlinear system stochastic response estimates based on the Wiener path integral technique: A Bayesian compressive sampling treatment MI Katsidoniotaki, AF Psaros, IA Kougioumtzoglou Probabilistic Engineering Mechanics 67, 103193, 2022 | 16 | 2022 |
| Path Integrals in Stochastic Engineering Dynamics IA Kougioumtzoglou, AF Psaros, PD Spanos Springer Nature, 2024 | 11 | 2024 |
| A Wiener path integral formalism for treating nonlinear systems with non-Markovian response processes IG Mavromatis, AF Psaros, IA Kougioumtzoglou Journal of Engineering Mechanics 149 (1), 04022092, 2023 | 11 | 2023 |
| A quadratic Wiener path integral approximation for stochastic response determination of multi-degree-of-freedom nonlinear systems Y Zhao, AF Psaros, I Petromichelakis, IA Kougioumtzoglou Probabilistic Engineering Mechanics 69, 103319, 2022 | 8 | 2022 |
| Uncertainty Quantification in Scientific Machine Learning: Methods AF Psaros, X Meng, Z Zou, L Guo, GE Karniadakis Metrics, and Comparisons, 2022 | 5 | 2022 |
| Strength, stiffness and cyclic deformation capacity of RC frames converted into walls by infilling with RC D Biskinis, MN Fardis, A Psaros-Andriopoulos Bulletin of Earthquake Engineering 14, 769-803, 2016 | 4 | 2016 |
| PICProp: physics-informed confidence propagation for uncertainty quantification Q Shen, WH Tang, Z Deng, A Psaros, K Kawaguchi Advances in Neural Information Processing Systems 36, 33041-33064, 2023 | 1 | 2023 |
| NeuralUQ: A comprehensive library for uncertainty quantification in neural differential equations and operators Z Zou, X Meng, AF Psaros, GE Karniadakis arXiv preprint arXiv:2208.11866, 2022 | | 2022 |
Ioannis KougioumtzoglouAssociate Professor, Columbia UniversityVahvistettu sähköpostiosoite verkkotunnuksessa columbia.edu