convolution

Probabilistic neural nets Bayesian and other probabilistic inference in overparameterized ML 2017-01-11 – 2022-04-07

Sparse coding Wavelets, matching pursuit, overcomplete dictionaries… 2014-11-17 – 2022-03-07

Karhunen-Loève expansions 2019-09-16 – 2022-02-01

Polynomial bases 2021-01-29 – 2021-10-06

Learning Gamelan 2016-04-05 – 2020-04-06

Discrete time Fourier and related transforms Also, chirplets, z-transforms, chromatic derivatives… 2019-10-17 – 2019-10-17

Density estimation Especially non- or semiparametrically 2016-06-06 – 2019-10-16

Functional equations Putting the funk in functions 2017-02-06 – 2017-02-19

Kernel density estimators 2016-03-05 – 2016-08-18

Blind deconvolution 2015-03-01 – 2016-07-27

Deconvolution 2015-04-19 – 2016-04-11