All sources cited or reviewed
This is a list of all sources we have used in the TransferLab, with links to the referencing content and metadata, like accompanying code, videos, etc. If you think we should look at something, drop us a line
References
[Lu21L]
lululxvi/deepxde,
[Mar21P]
Parametric Complexity Bounds for Approximating PDEs with Neural Networks,
[Par90A]
Adapted solution of a backward stochastic differential equation,
[Qin19D]
Data driven governing equations approximation using deep neural networks,
[Qua94N]
Numerical Approximation of Partial Differential Equations,
[Rai18F]
Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations,
[Shi20C]
On the convergence of physics informed neural networks for linear second-order elliptic and parabolic type PDEs,
[Sir18D]
DGM: A deep learning algorithm for solving partial differential equations,
[Um21S]
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers,
[Wan20U]
Understanding and mitigating gradient pathologies in physics-informed neural networks,
[Wan20W]
When and why PINNs fail to train: A neural tangent kernel perspective,
[Yan18P]
Physics-informed generative adversarial networks for stochastic differential equations,
[Zha20F]
FBSDE based neural network algorithms for high-dimensional quasilinear parabolic PDEs,
[Cas97F]
Fitting the Generalized Pareto Distribution to Data,
[Cha19D]
Deep Learning for Anomaly Detection: A Survey,
[Cli11N]
Novelty Detection with Multivariate Extreme Value Statistics,
[Col13I]
An Introduction to Statistical Modeling of Extreme Values.,
[Dau18U]
The UCR time series classification archive,
[Guh16R]
Robust Random Cut Forest Based Anomaly Detection on Streams,
[Hum22R]
Robust Kernel Density Estimation with Median-of-Means principle,
[Luc06F]
Fitting the generalized Pareto distribution to data using maximum goodness-of-fit estimators,
[Pan21D]
Deep Learning for Anomaly Detection: A Review,
[Sif17A]
Anomaly Detection in Streams with Extreme Value Theory,
[Van14R]
Robust Kernel Density Estimation by Scaling and Projection in Hilbert Space,
[Wu21C]
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress,