Posts

May 10, 2024 Bayesian linear regression
March 24, 2024 MCMC sampling
January 27, 2024 Probability density transform
October 15, 2023 Understanding deep learning: training, SGD, code samples
August 11, 2023 Likelihood and probability normalization, log-sum-exp trick
November 20, 2022 Optimization on manifold
June 14, 2022 Bypassing censorship: tools and services
February 19, 2022 Notes on backpropagation
February 10, 2022 Linear and logistic regressions
November 4, 2021 Uncertainty propagation with and without Lie groups
July 27, 2020 Point cloud alignment using Lie algebra machinery
June 24, 2020 Point cloud alignment and SVD
April 18, 2020 Nonlinear estimation: Full Bayesian, MLE and MAP
April 9, 2020 EKF SLAM
March 31, 2020 Particle Filter: localizing the robot
February 9, 2020 Inverse transform sampling
February 9, 2020 Documenting the experience