ICLR25 | Official code base for Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models (DLPM)
ai generative-model diffusion elbo diffusion-models heavy-tailed-distributions generative-modeling heavy-tails generative-ai
- Updated
- Python
#
heavy-tailed-distributions
Here are 16 public repositories matching this topic...
Mean and Covariance Matrix Estimation under Heavy Tails
outliers tyler covariance-matrix cauchy covariance-estimation robust-estimation student-t heavy-tailed-distributions
- Updated
- R
pylambertw - sklearn interface to analyze and gaussianize heavy-tailed, skewed data
machine-learning statistics probabilistic-programming feature-engineering gaussianize normalizing-flows skewed-data heavy-tailed-distributions heavy-tails lambertw
- Updated
- Jupyter Notebook
LambertW R package: Lambert W x F distributions and Gaussianization for skewed & heavy-tailed data
cran r statistics r-package normalization gaussianize normal-distribution skewed-data heavy-tailed heavy-tailed-distributions leptokurtosis gaussianize-data
- Updated
- R
Accuracy and performance benchmark of stable ("fat-tailed") distribution libraries in Python.
- Updated
- Python
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards
- Updated
- Python
Robust estimation using heavy-tailed distributions
linear-regression multivariate-distributions random-number-generators linear-mixed-models p-splines grubbs-model heavy-tailed-distributions
- Updated
- C
multivariate cauchy estimator - a new and robust bayesian state estimation algorithm
cpp matlab python3 kalman-filtering unscented-kalman-filter bayesian-statistics kalman-filter stochastic-processes cauchy extended-kalman-filters kalman-tracking alpha-stable-processes extended-kalman-filter kalman-estimator robust-estimation heavy-tailed-distributions
- Updated
- Jupyter Notebook
[TMLR] From Spikes to Heavy Tails: Unveiling the Spectral Evolution of Neural Networks
- Updated
- Python
Efficiently generate Gaussian stochastic processes with heavy-tailed algebraic correlations.
- Updated
- Julia
Estimate tail parameters of heavy-tailed distributions (including power law exponent gamma) in Python
python network-science scale-free powerlaw scale-free-networks conda-forge power-law heavy-tailed-distributions extreme-value-theory
- Updated
- Python
Implementation of a generative jump-diffusion model
mathematica jump-diffusion diffusion-models heavy-tailed-distributions generative-modelling generative-ai
- Updated
- Wolfram Language
GI/G/1 Queue Simulator with Bounded Algorithmic Numbers (BANs)
matlab queueing-theory queuing-simulator scheduling-policies heavy-tailed-distributions queuing-models steady-state-analysis delay-analysis gg1 teletraffic
- Updated
- MATLAB
Heavy-Tailed distributions in Variational Autoencoder (VAE)
- Updated
- MATLAB
Notes on Mathematical Concepts
- Updated
- Jupyter Notebook
Adaptive Location and Scale Estimation with Kernel Weighted Averages - Technical Appendix and Supplemental R Code for Pokojovy et al (2024) CSSC Paper
simulation high-performance-computing computational-statistics nonparametric-statistics financial-data-analysis financial-data-science kernel-estimation heavy-tailed-distributions kernel-weighted-averages
- Updated
- R
Improve this page
Add a description, image, and links to the heavy-tailed-distributions topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the heavy-tailed-distributions topic, visit your repo's landing page and select "manage topics."