Record · danmackinlay.name

Neural PDE operator learning – The Dan MacKinlay stable of variably-well-consider’d enterprises

Dan MacKinlay · 1 October 2026 · 20 min read

A post on danmackinlay.name, published 1 October 2026, has not been cited by any blog yet (corpus.blog, measured 15 October 2026).

A record is what was published and who pointed at it. The text of the post is not shown here: read it at the source, or at its Wayback capture.

Read at danmackinlay.name Wayback capture

0blogs citing

Citing blogs and links by period
Period	Blogs	Links
All time	0	0
Last 90 days	0	0
Last 30 days	0	0
Last 7 days	0	0

Figures for this page
Words blogs link it with	0
External links	45
Length	4,379

Cited by

No blog we hold has cited this post yet.

Links from this post

Link

Host

https://zongyi-li.github.io/blog/2020/fourier-pde/?ref=danmackinlay.name

zongyi-li.github.io

https://www.youtube.com/watch?v=Bd4KvlmGbY4&ref=danmackinlay.name

youtube.com

https://nostalgebraist.tumblr.com/post/635791111299923968/howthebodyworks-nostalgebraist-i-saw-a-hyped-up?ref=danmackinlay.name

nostalgebraist.tumblr.com

https://www.youtube.com/watch?v=IaS72aHrJKE&ref=danmackinlay.name

youtube.com

https://github.com/zongyi-li/fourier_neural_operator?ref=danmackinlay.name

github.com

https://neuraloperator.github.io/neuraloperator/dev/index.html?ref=danmackinlay.name

neuraloperator.github.io

https://github.com/Ceyron/trainax?tab=readme-ov-file&ref=danmackinlay.name

github.com

https://fkoehler.site/pdequinox/more_details/?ref=danmackinlay.name

fkoehler.site

https://torchphysics.readthedocs.io/en/latest/tutorial/tutorial_start.html?ref=danmackinlay.name

torchphysics.readthedocs.io

https://github.com/boschresearch/torchphysics/blob/main/examples/deeponet/ode.ipynb?ref=danmackinlay.name

github.com

https://github.com/boschresearch/torchphysics/blob/main/examples/deeponet/inverse_ode.ipynb?ref=danmackinlay.name

github.com

https://deepxde.readthedocs.io/en/latest/?ref=danmackinlay.name

deepxde.readthedocs.io

https://github.com/lululxvi/deepxde?ref=danmackinlay.name

github.com

https://uvadlc-notebooks.readthedocs.io/en/latest/tutorial_notebooks/DL2/Dynamical_Neural_Networks/Complete_DNN_2_2.html?ref=danmackinlay.name

uvadlc-notebooks.readthedocs.io

https://uvadlc.github.io/?ref=danmackinlay.name

uvadlc.github.io

https://github.com/pyg-team/pytorch_geometric Who cites this page

github.com

Symmetry and Physics Read at math.columbia.edu

math.columbia.edu

https://www.youtube.com/watch?v=lx-msllg1kU&ref=danmackinlay.name

youtube.com

http://snap.stanford.edu/lamp/?ref=danmackinlay.name

snap.stanford.edu

https://arxiv.org/abs/2402.12365

arxiv.org

https://doi.org/10.1038/s42254-024-00712-5

doi.org

http://arxiv.org/abs/2403.14404

arxiv.org

https://doi.org/10.2139/ssrn.4467533

doi.org

https://arxiv.org/abs/2306.03838v1

arxiv.org

https://doi.org/10.1073/pnas.2303904120

doi.org

https://openreview.net/forum?id=okwxL_c4x84

openreview.net

https://doi.org/10.48550/arXiv.2202.03376

doi.org

http://arxiv.org/abs/2105.14995

arxiv.org

http://arxiv.org/abs/1510.08231

arxiv.org

https://arxiv.org/abs/2108.08481 Who cites this page

arxiv.org

http://arxiv.org/abs/2110.11847

arxiv.org

https://arxiv.org/abs/2006.09535

arxiv.org

http://arxiv.org/abs/1710.09668

arxiv.org

http://arxiv.org/abs/2409.04538

arxiv.org

https://doi.org/10.1142/S0219530519410136

doi.org

https://doi.org/10.48550/arXiv.2111.05841

doi.org

https://proceedings.neurips.cc/paper_files/paper/2022/hash/342339109d7d756ef7bb30cf672aec02-Abstract-Conference.html

proceedings.neurips.cc

https://doi.org/10.48550/arXiv.1505.04597

doi.org

http://arxiv.org/abs/2302.06594

arxiv.org

https://proceedings.neurips.cc//paper_files/paper/2020/hash/9f319422ca17b1082ea49820353f14ab-Abstract.html

proceedings.neurips.cc

https://doi.org/10.48550/arXiv.2111.13802

doi.org

http://arxiv.org/abs/1805.07109

arxiv.org

https://doi.org/10.1145/3394486.3403198

doi.org

https://doi.org/10.1016/j.cma.2022.115027

doi.org

https://doi.org/10.48550/arXiv.2406.08473

doi.org

Elsewhere on danmackinlay.name (15)

Machine learning for partial differential equations – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Recursive identification – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Fourier transforms – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Signal sampling – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Deep learning as a dynamical system – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Convolutional neural networks – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Neural nets with basis decomposition layers – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Neural learning for geoscience – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

(Reproducing) kernel tricks – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Gaussian process regression – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Infinite width limits of neural networks – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Laplace approximations in inference – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Physics-informed neural networks – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Kolmogorov-Arnold neural networks – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Neural PDE operator learning on domains with interesting geometry – The Dan MacKinlay stable of variably-well-consider’d enterprises Read at danmackinlay.name

danmackinlay.name

Neural PDE operator learning – The Dan MacKinlay stable of variably-well-consider’d enterprises

Cited by

Links from this post

Similar posts