Bayesian histograms for estimation of binary rare event rates, with fully automated bin pruning 📊
-
Updated
Oct 14, 2021 - Jupyter Notebook
Bayesian histograms for estimation of binary rare event rates, with fully automated bin pruning 📊
🦜 DISCOTRESS 🦜 is a software package to simulate and analyse the dynamics on arbitrary Markov chains
Where do people look on images in average? At rare, thus surprising things! Let's compute them automatically
Software and data related to the paper "Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling"
Learn to get started using DISCOTRESS with these tutorials! Then apply to your own Markov chains in ecology 🦜🌴 economics 💸📈 biophysics 🧬🦠 and more!
Visual Attention : what is salient in an image with DeepRare2019
A simple Python implementation for Rare Event Logit model of King and Zeng (2001)
Bouncy Particle Sampler in rare event simulation
Cloning algorithm for measuring rare events from stochastic time series
Research project 2019-2021
Rare events simulation on a football championship in Python
Priority-guided seed-path/counterexample generation (proof of concept)
Optimal control solution for conditioning of a random walk with exponentially distributed jump size in a cylinder
Developing explainable multimodal AI models with hands-on lab on the life-cycle of rare event prediction in manufacturing @ AAAI-25
julia code to simulate a simple molecular dynamics models
Bias in Logistic Regression with Rare Event Data
Source code of paper "Rare Events of Host Switching for Diseases using a SIR Model with Mutations"
Add a description, image, and links to the rare-events topic page so that developers can more easily learn about it.
To associate your repository with the rare-events topic, visit your repo's landing page and select "manage topics."