Fetching the paper…
Reading the bibliography…
There has been a lot of recent interest in adopting machine learning methods for scientific and engineering applications.
The lack of a priori distinctions between learning algorithms
David H. Wolpert · 1996
Earlier work this paper cites.
Generalized neural-network representation of high-dimensional potential-energy surfaces
Jörg Behler and Michele Parrinello · 2007
Earlier work this paper cites.
Lecture notes for statistics 311/electrical engineering 377, stanford university
John C. Duchi · 2015
Cited alongside, same era.
Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
Cited alongside, same era.
Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling
P. Perdikaris, M. Raissi, A. Damianou, N. D. Lawrence, and G. E. Karniadakis · 2017
Later among the works it cites.
Data-driven discovery of partial differential equations
Samuel H. Rudy, Steven L. Brunton, Joshua L. Proctor, and J. Nathan Kutz · 2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…