7 citations to https://www.mathnet.ru/rus/danma452
  1. Vincent C. Scholz, Yaohua Zang, Phaedon-Stelios Koutsourelakis, “Weak neural variational inference for solving Bayesian inverse problems without forward models: Applications in elastography”, Computer Methods in Applied Mechanics and Engineering, 433 (2025), 117493  crossref
  2. Yixuan Sun, Ololade Sowunmi, Romain Egele, Sri Hari Krishna Narayanan, Luke Van Roekel, Prasanna Balaprakash, “Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach”, Mathematics, 12:10 (2024), 1483  crossref
  3. Ali Kashefi, Tapan Mukerji, “A novel Fourier neural operator framework for classification of multi-sized images: Application to three dimensional digital porous media”, Physics of Fluids, 36:5 (2024)  crossref
  4. Kamyar Azizzadenesheli, Nikola Kovachki, Zongyi Li, Miguel Liu-Schiaffini, Jean Kossaifi, Anima Anandkumar, “Neural operators for accelerating scientific simulations and design”, Nat Rev Phys, 6:5 (2024), 320  crossref
  5. Ziyuan Liu, Haifeng Wang, Hong Zhang, Kaijun Bao, Xu Qian, Songhe Song, “Render unto Numerics: Orthogonal Polynomial Neural Operator for PDEs with Nonperiodic Boundary Conditions”, SIAM J. Sci. Comput., 46:4 (2024), C323  crossref
  6. Matthaios Chatzopoulos, Phaedon-Stelios Koutsourelakis, “Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous media”, Computer Methods in Applied Mechanics and Engineering, 432 (2024), 117342  crossref
  7. Gianluca Fabiani, Ioannis G. Kevrekidis, Constantinos Siettos, Athanasios N. Yannacopoulos, “RandONets: Shallow Networks with Random Projections for Learning Linear and Nonlinear Operators”, Journal of Computational Physics, 2024, 113433  crossref