Skip to main content
Ctrl
+
K
Overview
Resources
Python
Integraded Development Environment (IDE)
Standard Python Stack
Earth Science Stack
Deep Learning Stack
Scaling Stack
Good Code
Tutorials
My JAX Journey
Ecosystem
vmap
Jit
Classes
Algorithms
Bisection search
Kernel Derivatives
Gaussianization Flows
12 Steps to Navier-Stokes
1D Linear Convection
Remote Computing
SSH Configuration
Conda 4 Remote Servers
Jupyter Lab 4 Remote Servers
Notes
GMT of Learning
Hierarchical Representation
Functa
Spatial Discretization
Temporal Discretization
Learning
State Estimation
Parameter Estimation
Bi-Level Optimization
Modeling Uncertainty
Bayesian
Language of Uncertainty
Models
Inference Schemes
Variational Inference
Conditional Variational Inference
Confidence Intervals
Regression
Sleeper Concepts
Gaussian Distributions
Change of Variables
Identity Trick
Inverse Function Theorem
Jensens Inequality
Linear Algebra Tricks
Kernel Methods
Kernel Derivatives
RV Coefficient
Congruence Coefficient
HSIC
Maximum Mean Discrepancy (MMD)
Gaussian Processes
Basics
Literature Review
Conjugate Gradients
Sparse Gaussian Processes
Algorithms
GP from Scratch
Sparse GP From Scratch
Input Uncertainty in GPs
Similarity
Information Theory
Measures
Information Theory
Entropy & Relative Entropy
Mutual Information and Total Correlation
Information Theory Measures
Classic Methods
Entropy Estimator - Histogram
Experiment - RBIG Sample Consistency
Normalizing Flows
Linear Layers
Coupling Layers
Conditional Normalizing Flows
Multiscale
Minimization Problems
Losses
Lecture I - Iterative Gaussianization
1.1 - Univariate Gaussianization
1.2 - Marginal Gaussianization
1.2 - Iterative Gaussianization
Lecture II - Gaussianization Flows
Parameterized Marginal Gaussianization
Parameterized Rotations
Example - 2D Plane
Neural Fields
Formulation
Literature Review
Physics-Informed Loss
Data Assimilation
Dynamical Systems
Optimal Interpolation
Interpolation Problem
Emulation
Inverse Problems
Projects
Algorithms
Markov Models
Gauss-Markov Models
Kalman Filter
Normalizing Kalman Filter
Ensemble Kalman Filter
Deep Markov Model
4DVarNet
Markovian Gaussian Processes
Notebooks
Miscellaneous Notes
Generative Models
Diffusion Models
Fixed-Point Methods
Bi-Level Optimization
Differential Operators
QG Formulations
Elliptical PDE Solvers
Inverse Problems
Cheat Sheets
Bash
Command Line
Python
Repository
Open issue
.md
.pdf
Measures
Measures
#
