Ben Moseley - RankMe

16 papers A* 1Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Extending quantum theory with AI-assisted deterministic game theory. CoRR Florian Pauschitz, Ben Moseley, Ghislain Fourny
2026	J	`jnl`	Learning, Solving and Optimizing PDEs with TensorGalerkin: an efficient high-performance Galerkin assembly algorithm. CoRR Shizheng Wen, Mingyuan Chi, Tianwei Yu, Ben Moseley, Mike Yan Michelis, Pu Ren, Hao Sun, Siddhartha Mishra
2026	J	`jnl`	PTL-PINNs: Perturbation-Guided Transfer Learning with Physics- Informed Neural Networks for Nonlinear Systems. CoRR Duarte Alexandrino, Ben Moseley, Pavlos Protopapas
2025	J	`jnl`	Challenges and Advancements in Modeling Shock Fronts with Physics-Informed Neural Networks: A Review and Benchmarking Study. CoRR Jassem Abbasi, Ameya D. Jagtap, Ben Moseley, Aksel Hiorth, Pål Østebø Andersen
2025	J	`jnl`	Challenges and advancements in modeling shock fronts with physics-informed neural networks: A review and benchmarking study. Neurocomputing Jassem Abbasi, Ameya D. Jagtap, Ben Moseley, Aksel Hiorth, Pål Østebø Andersen
2025	J	`jnl`	Local feature filtering for scalable and well-conditioned Random Feature Methods. CoRR Jan Willem van Beek, Victorita Dolean, Ben Moseley
2024	J	`jnl`	ELM-FBPINN: efficient finite-basis physics-informed neural networks. CoRR Samuel Anderson, Victorita Dolean, Ben Moseley, Jennifer Pestana
2024	J	`jnl`	History-Matching of Imbibition Flow in Multiscale Fractured Porous Media Using Physics-Informed Neural Networks (PINNs). CoRR Jassem Abbasi, Ben Moseley, Takeshi Kurotori, Ameya D. Jagtap, Anthony R. Kovscek, Aksel Hiorth, Pål Østebø Andersen
2024	J	`jnl`	Modern, Efficient, and Differentiable Transport Equation Models using JAX: Applications to Population Balance Equations. CoRR Mohammed Alsubeihi, Arthur Jessop, Ben Moseley, Cláudio P. Fonte, Ashwin Kumar Rajagopalan
2024	J	`jnl`	Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics. IEEE Robotics Autom. Mag. Jose Ignacio Delgado-Centeno, Paula Harder, Valentin Tertius Bickel, Ben Moseley, Freddie Kalaitzis, Siddha Ganju, Miguel A. Olivares-Méndez
2023	J	`jnl`	Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations. Adv. Comput. Math. Ben Moseley, Andrew Markham, Tarje Nissen-Meyer
2023	J	`jnl`	Multilevel domain decomposition-based architectures for physics-informed neural networks. CoRR Victorita Dolean, Alexander Heinlein, Siddhartha Mishra, Ben Moseley
2022	J	`jnl`	Finite basis physics-informed neural networks as a Schwarz domain decomposition method. CoRR Victorita Dolean, Alexander Heinlein, Siddhartha Mishra, Ben Moseley
2022	—	`—`	Physics-informed machine learning: from concepts to real-world applications. Ben Moseley
2021	A*	`conf`	Extreme Low-Light Environment-Driven Image Denoising Over Permanently Shadowed Lunar Regions With a Physical Noise Model. CVPR Ben Moseley, Valentin Tertius Bickel, Ignacio G. Lopez Francos, Loveneesh Rana
2021	J	`jnl`	Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations. CoRR Ben Moseley, Andrew Markham, Tarje Nissen-Meyer