A class of improved fractional physics informed neural networks

Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Maziar Raissi, Paris Perdikaris, George Em Karniadakis · Journal of Computational Physics · 2018 · 16.9K citations · Full text

Natural Sciences, Computer Science, Physics +16

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

Babak Alipanahi, Andrew Delong, Matthew T. Weirauch et al. · Nature Biotechnology · 2015 · 3.2K citations

Life Sciences, Bioinformatics, Molecular Biology +16

Human-level concept learning through probabilistic program induction

Brenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum · Science · 2015 · 2.9K citations

Computing, Computer Science, Artificial Intelligence +16

Artificial neural networks for solving ordinary and partial differential equations

IEEE Transactions on Neural Networks · 1998 · 2.2K citations · Full text

Natural Sciences, Computational Engineering, Computer Science +17

DGM: A deep learning algorithm for solving partial differential equations

Justin Sirignano, Konstantinos Spiliopoulos · Journal of Computational Physics · 2018 · 2.1K citations · Full text

Natural Sciences, Computer Science, Mathematics +13