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Research Journal
jejjohnson/research_journal
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Bayesian Neural Networks Working Group
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StarSpots
Appendix
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Bayesian
Bayesian
Exponential Family of Distributions
Gaussian
Solving Hard Integral Problems
Bayesian: Language of Uncertainty
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[Identity Trick](https://www.shakirm.com/slides/MLSS2018-Madrid-ProbThinking.pdf)
Inverse Function Theorem
Jensens Inequality
Density
Density
Density Estimation
Conditional Density Estimation
Generative Modeling
Histograms
Logistic Distribution
Flows
Flows
Applications in Earth Science
Gaussinization
HouseHolder Flows
Normalizing Flows Literature
Continuous Mixture CDFs
Gaussianization
Gaussianization
RBIG for Spatial-Temporal Representation Analysis
RBIG 2.0 Ideas
Unscented Transformation
Applications
Applications
Climate
Demo: Gaussianization
Drought
Spatial temporal
Software
Software
Coupling Layers
Loss Functions
Marginal Gaussianization
Marginal Uniformization
Refactoring RBIG (RBIG 1.1)
Rotation
Theory
Theory
Gaussianization
Information Theory Measures
Literature Review
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Gps
Gps
Basic GP
Sparse Gaussian Processes
GPs and Uncertain Inputs through the Ages
Uncertainty of GPs: Taylor Expansion
Variational GPs
Gaussian Dists. and GPs
SOTA GPs
Information
Information
Entropy
Exponential Family of Solutions
Gaussian Distribution
Information
Information
Information Bottleneck
Information Theory Measures Estimators
Information Theory Measures
KLD
K-Nearest Neighbors Estimator
Main
Mutual Information
Probability Density Function Estimators
Variation of Information
Kernels
Kernels
Other Distances
Kernel Measures of Similarity
Density
Density
Kernel Density Estimation
Derivatives
Derivatives
Overview
Similarity
Similarity
Kernels and Information Measures
Similarity Measures
Math
Math
Bisection
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Ml
Ml
Multi-Output
Neural
Neural
Rbig
Similarity
Similarity
Overview
What is Similarity?
Distances
HSIC
MMD
RV Coefficient
Taylor Diagram (1D Data)
Taylor Diagram (2D Data)
Variation of Information
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Posted
Posted
GPs and Uncertain Inputs through the Ages
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ErrorGPs
ErrorGPs
Overview
Gaussian Approximations
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Overview
Overview
Basics
Literature Review
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Taylor Expansion
Error Propagation
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Similarity
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Bash
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Loops
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Bayesian
Bayesian
Error in GPs in Sklearn
Earth
Earth
Cartesian Coordinates 2 Geocoordinates
XArray
Latex
Latex
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Markdown
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Ml
Ml
Anomaly Detection
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My configs
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Conda
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Numpy
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Efficient Euclidean Distance Calculation - Numpy Einsum
Add every n values in array
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Parallel
Embarrassingly Parallel Workloads
Hyperparameter Optimization
Large predict
Parallel Processing
Pipelines
Python
Python
Conda
My Typical Conda Environments
Dictionaries to Lists
Tricks with Lists
Named Tuples
Paths
My Setup File
Pytorch
Pytorch
Device Agnostic
Histograms in PyTorch
Interpolating in PyTorch
KeOps - Gaussian Kernel
Loops with TQDM
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PyTorch Tensors 2 Numpy Adaptors
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KERMES Meetup 2018
AGU 2019
Phi Week 2019
Phi Week 2019
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KERMES Meetup 2020
Fast Friday Talk
Thesis
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My Thesis
Related Publications
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Thesis Outline
Quotes
Reproducibility
My Thesis: A Overview
Toc
Chapters
Chapters
1 introduction
1 introduction
Earth Science Setting
Machine Learning Setting
1.3 thesis
2 models
2 models
Sensitivity
Similarity
Uncertainty
3 similarity
3 similarity
Hybrid Approaches
Kernel Methods
Neural Networks
Randomized
4 information
4 information
Density
Density
Overview
Density Estimation
Parametric Gaussianization
Normalizing Flows
Parametric
Rotation-Based Iterative Gaussianization (RBIG)
Information
Information
Information Theory
TODO
5 applications
5 applications
Sensitivity Applications
Similarity Applications
Uncertainty Applications
Tutorials
Tutorials
Tutorials
Earth sci
Earth sci
Earth Science Tools
Ideas
Esdc streaming
Gaussian processes
Gaussian processes
ideas
Jax
Jax
Jax
Bisection search
Classes
Ecosystem
Jax Tutorial Ideas
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Jit
Optimizing Using Jax
VMAP
Lab tutorials
Lab tutorials
Bandwidth Approximation
Kernel Derivatives
Kernel Matrices
MonteCarlo
Pairwise
Resources
Jupyter vscode
Jupyter vscode
Using Jupyter Notebooks for VSCode Remote Computing
Manifold learning
Manifold learning
Semisupervised Manifold Alignment
6 laplacian eigenmaps
Pytorch nns
Pytorch nns
NN from scratch
Refactoring
Sweeps using Weights and Biases
PyTorch Ideas
PyTorch Lightning
Remote computing
Remote computing
Copying Files
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Remote Machines: JupyterLab + VSCode
Tf2
Tf2
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Docs
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