A Julia package that provides high-level abstractions for simulating and deploying stochastic filters
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Updated
Oct 31, 2022 - Julia
A Julia package that provides high-level abstractions for simulating and deploying stochastic filters
A Kalman filter and Particle Filter implementation for Gaussian object tracking
These slides were presented at my dissertation defense (Division of Applied Mathematics, Brown University, 23 May 2018).
The workspace for our computational robotics class. I explored different techniques such as Bayesian filtering in a Gridworld environment, Graph Based Motion Planning on a chess board, Kalman Filtering... Work in progress !
This repository contains code implementations for the Discriminative Kalman Filter.
Code supplement for "Discriminative Bayesian Filtering Lends Momentum to the Stochastic Newton Method for Minimizing Log-Convex Functions"
XeLaTeX for "A Discriminative Approach to Bayesian Filtering with Applications to Human Neural Decoding"
Variational Joint Filtering
Official Pytorch repository for "Diffusion Posterior Sampling for Linear Inverse Problem Solving: A Filtering Perspective", where FPS (Filtering Posterior Sampling) as well as its extension FPS-SMC are proposed.
An Intuitive tutorial on Bayesian filtering
Code supplement for "The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation Models"
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