Adrien Corenflos's repositories
particle_mala
Gradient-informed particle MCMC methods
aux-ssm-samplers
Auxiliary Kalman and particle Gibbs samplers for Feynman-Kac (state-space) models.
coupled_rejection_sampling
Coupled Rejection Sampler
journal-club
A (potential) collection of notebooks used for the journal club presentations
parallel-Hilbert
JAX implementation of Hilbert sorting
AdrienCorenflos
Profile README
aesara
Aesara is a Python library for defining, optimizing, and efficiently evaluating mathematical expressions involving multi-dimensional arrays.
fp-ssc-course
An introduction to functional programming for scalable statistical computing
garimasingh128
Most popular GitHub Readme template to create your awesome introduction Readme on GitHub 🚀
jmlr-style-file
LaTeX style file for the Journal of Machine Learning Research
minimal
Minimal is a Jekyll theme for GitHub Pages
parallel-gps
GPFlow based implementation of temporal parallellization of state space GPs
particles-1
Sequential Monte Carlo in python
probability
Probabilistic reasoning and statistical analysis in TensorFlow
sqrt-parallel-smoothers
A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algorithms, both in a sequential and parallel fashion, as well as efficient gradient rules for computing gradients of required quantities (such as the pseudo-loglikelihood of the system).
ssm-experimental
Experimental folder for state space modeling code
tempered-smc-optimization
Tempered optimization small project
v238
Proceedings of AISTATS 2024