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Bulletproof node.js project architecture 🛡️
localstack/localstack: 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline!
Lecture 8. The Doob’s stopping theorem
Gaussian free field
How to be a modern scientist
Some aspects of Branching Brownian Motion
[1511.06251] Stochastic modified equations and adaptive stochastic gradient algorithms
DGFF 1 – The discrete Gaussian free field from scratch | Eventually Almost Everywhere
[1806.08829] Diffusion Scattering Transforms on Graphs
A Gromov-Hausdorff Framework with Diffusion Geometry for Topological Robust Non-rigid Shape Matching
random_fields.pdf
Introduction to the Gaussian Free Field and Liouville Quantum Gravity
WaveGrad: Estimating Gradients for Waveform Generation
A Level Line of the Gaussian Free Field with Measure-Valued Boundary Conditions
Variational Inference with Normalizing Flows
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates
[2007.02500] Deep Learning for Anomaly Detection: A Review
Tutorial: Stress detection with wearable devices and Machine Learning – DataEspresso
A Robust Open-source Algorithm to Detect Onset and Duration of QRS Complexes
[2009.11732] A Unifying Review of Deep and Shallow Anomaly Detection
Adversarial Autoencoders
Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit
Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise
On the asymptotic behaviour of solutions of stochastic differential equations
The hyperbolic Anderson model: Moment estimates of the Malliavin derivatives and applications
H ̈older continuity for the Parabolic Anderson Modelwith space-time homogeneous Gaussian noise
Neural Manifold Ordinary Differential Equations
Stochastic Modified Equations and Dynamics of Stochastic Gradient Algorithms I: Mathematical Foundations
Stochastic Heat Equations with General Multiplicative Gaussian Noises: Hölder Continuity and Intermittency
Advanced stochastic analysis
An Introduction to Malliavin Calculus
Scalable Gradients for Stochastic Differential Equations
Chaos Expansion of Heat Equations with White Noise Potentials
On Degenerate Partial Differential Equations
[1707.01415] Machine Learning, Deepest Learning: Statistical Data Assimilation Problems
Hamilton-Jacobi Equations
The fundamental solution to 1D degenerate diffusion equation with one-sided boundary
[2008.13092] Fundamental Solution to 1D Degenerate Diffusion Equation with Locally Bounded Coefficients
Hölder-continuity for the nonlinear stochastic heat equation with rough initial conditions
Stochastic integrals for spde's: A comparison
Comparison principle for stochastic heat equation on Rd
Extending Martingale Measure Stochatic Integral with Applications to Spatially Homogeneous SPDE's
MSR-TR-2009-192.pdf
A Feynman-Kac Approach for the Spatial Derivative of the Solution to the Wick Stochastic Heat Equation Driven by Time Homogeneous White Noise
High-Dimensional Gaussian Sampling: A Review and a Unifying Approach Based on a Stochastic Proximal Point Algorithm
Analysis of Circulant Embedding Methods for Sampling Stationary Random Fields
Density Dependent Singular Stochastic Differential Equations
Lessons from my PhD - Austin Z. Henley
Inverse Source Problems for the Stochastic Wave Equations: Far-Field Patterns
On the Functional Levy-Ito Stochastic Calculus