Danyal Rehman

According to our database, Danyal Rehman authored at least 4 papers in 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Attention-enhanced neural differential equations for physics-informed deep learning of ion transport.

Danyal Rehman, John H. Lienhard

CoRR, 2023

Self-Supervised Learning with Lie Symmetries for Partial Differential Equations.

Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak Toussi Kiani

CoRR, 2023

Physics-constrained neural differential equations for learning multi-ionic transport.

Danyal Rehman, John H. Lienhard

CoRR, 2023

Self-Supervised Learning with Lie Symmetries for Partial Differential Equations.

Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak T. Kiani

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023