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Title: GitHub - gitvicky/Spatio-Temporal-CP: Code attached to the paper: Uncertainty Quantification of Surrogate Models using Conformal Prediction · GitHub

Open Graph Title: GitHub - gitvicky/Spatio-Temporal-CP: Code attached to the paper: Uncertainty Quantification of Surrogate Models using Conformal Prediction

X Title: GitHub - gitvicky/Spatio-Temporal-CP: Code attached to the paper: Uncertainty Quantification of Surrogate Models using Conformal Prediction

Description: Code attached to the paper: Uncertainty Quantification of Surrogate Models using Conformal Prediction - gitvicky/Spatio-Temporal-CP

Open Graph Description: Code attached to the paper: Uncertainty Quantification of Surrogate Models using Conformal Prediction - gitvicky/Spatio-Temporal-CP

X Description: Code attached to the paper: Uncertainty Quantification of Surrogate Models using Conformal Prediction - gitvicky/Spatio-Temporal-CP

Mail addresses
v.gopakumar@ucl.ac.uk

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requirements.txt	https://github.com/gitvicky/Spatio-Temporal-CP/blob/main/requirements.txt
README	https://github.com/gitvicky/Spatio-Temporal-CP
MIT license	https://github.com/gitvicky/Spatio-Temporal-CP
	https://github.com/gitvicky/Spatio-Temporal-CP#uncertainty-quantification-of-surrogate-models-using-conformal-prediction
"Uncertainty Quantification of Surrogate Models using Conformal Prediction"	https://arxiv.org/abs/2408.09881
google drive link	https://drive.google.com/drive/folders/1T0F3VVIkf8Ljn1G_Z9hc-opz5fHqGPnL
	https://github.com/gitvicky/Spatio-Temporal-CP#overview
	https://github.com/gitvicky/Spatio-Temporal-CP/blob/main/overview.png
	https://github.com/gitvicky/Spatio-Temporal-CP#experiment-structure
Plasma Modelling	https://github.com/Plasma-FNO
Foundation Physics Models	https://github.com/gitvicky/multiple_physics_pretraining
Neural Weather Models	https://github.com/gitvicky/neural-lam-CP
	https://github.com/gitvicky/Spatio-Temporal-CP#interactive-demo
A live interactive demo of our method applied to the Poisson Equation can be found in this server	https://spatiotemporal-conformal-prediction.streamlit.app/
	https://github.com/gitvicky/Spatio-Temporal-CP/blob/main/demo.png
Demos/	https://github.com/gitvicky/Spatio-Temporal-CP/tree/main/Demos
	https://github.com/gitvicky/Spatio-Temporal-CP#repository-structure
	https://github.com/gitvicky/Spatio-Temporal-CP#experiments
	https://github.com/gitvicky/Spatio-Temporal-CP#1-1d-poisson-equation
	https://github.com/gitvicky/Spatio-Temporal-CP#2-1d-convection-diffusion-equation
	https://github.com/gitvicky/Spatio-Temporal-CP#3-2d-wave-equation
	https://github.com/gitvicky/Spatio-Temporal-CP#4-2d-navier-stokes-equations
FNO paper	https://github.com/neuraloperator/neuraloperator
	https://github.com/gitvicky/Spatio-Temporal-CP#workflow-summary
	https://github.com/gitvicky/Spatio-Temporal-CP#general-workflow
	https://github.com/gitvicky/Spatio-Temporal-CP#experiment-specific-details
	https://github.com/gitvicky/Spatio-Temporal-CP#key-points
	https://github.com/gitvicky/Spatio-Temporal-CP#scripts-purpose
	https://github.com/gitvicky/Spatio-Temporal-CP#conformal-prediction-methods
	https://github.com/gitvicky/Spatio-Temporal-CP#1-conformalised-quantile-regression-cqr
	https://github.com/gitvicky/Spatio-Temporal-CP#2-absolute-error-residual-aer
	https://github.com/gitvicky/Spatio-Temporal-CP#3-standard-deviation-std
	https://github.com/gitvicky/Spatio-Temporal-CP#training-your-own-models
	https://github.com/gitvicky/Spatio-Temporal-CP#general-training-configuration
	https://github.com/gitvicky/Spatio-Temporal-CP#training-procedure
	https://github.com/gitvicky/Spatio-Temporal-CP#data-normalization
	https://github.com/gitvicky/Spatio-Temporal-CP#performing-conformal-prediction
	https://github.com/gitvicky/Spatio-Temporal-CP#step-by-step-guide
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	https://github.com/gitvicky/Spatio-Temporal-CP#step-3-compute-calibration-quantile
	https://github.com/gitvicky/Spatio-Temporal-CP#step-4-generate-predictions-on-calibration-set
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	https://github.com/gitvicky/Spatio-Temporal-CP#complete-example-script
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	https://github.com/gitvicky/Spatio-Temporal-CP#out-of-distribution-cp
	https://github.com/gitvicky/Spatio-Temporal-CP#computational-requirements
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	https://github.com/gitvicky/Spatio-Temporal-CP#calibration
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	https://github.com/gitvicky/Spatio-Temporal-CP#dependencies
	https://github.com/gitvicky/Spatio-Temporal-CP#reproducing-paper-results
	https://github.com/gitvicky/Spatio-Temporal-CP#1d-poisson
	https://github.com/gitvicky/Spatio-Temporal-CP#1d-convection-diffusion
	https://github.com/gitvicky/Spatio-Temporal-CP#2d-wave-u-net
	https://github.com/gitvicky/Spatio-Temporal-CP#2d-wave-fno
	https://github.com/gitvicky/Spatio-Temporal-CP#2d-navier-stokes
	https://github.com/gitvicky/Spatio-Temporal-CP#what-each-script-does
	https://github.com/gitvicky/Spatio-Temporal-CP#key-results
	https://github.com/gitvicky/Spatio-Temporal-CP#citation
	https://github.com/gitvicky/Spatio-Temporal-CP#additional-resources
Tutorial by Angelopoulos & Bates	https://people.eecs.berkeley.edu/~angelopoulos/blog/posts/gentle-intro/
Original paper by Vovk et al.	https://link.springer.com/book/10.1007/978-3-031-06649-8
FNO paper (Li et al., 2021)	https://arxiv.org/abs/2010.08895
Neural Operator repository	https://github.com/neuraloperator/neuraloperator
	https://github.com/gitvicky/Spatio-Temporal-CP#license
	https://github.com/gitvicky/Spatio-Temporal-CP#contact
arxiv.org/abs/2408.09881	https://arxiv.org/abs/2408.09881
uncertainty-quantification	https://github.com/topics/uncertainty-quantification
conformal-prediction	https://github.com/topics/conformal-prediction
surrogate-models	https://github.com/topics/surrogate-models
neural-pde	https://github.com/topics/neural-pde
neural-weather	https://github.com/topics/neural-weather
Readme	https://github.com/gitvicky/Spatio-Temporal-CP#readme-ov-file
MIT license	https://github.com/gitvicky/Spatio-Temporal-CP#MIT-1-ov-file
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