machine learning | Georgios Exarchakishttps://exarchakis.net/tag/machine-learning/machine learningWowchemy (https://wowchemy.com)en-us© 2026Mon, 19 Aug 2019 13:48:09 +0300https://exarchakis.net/media/icon_hua2ec155b4296a9c9791d015323e16eb5_11927_512x512_fill_lanczos_center_2.pngmachine learninghttps://exarchakis.net/tag/machine-learning/ProSper - A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositionshttps://exarchakis.net/publication/prosper/Mon, 19 Aug 2019 13:48:09 +0300https://exarchakis.net/publication/prosper/Truncated Variational Sampling for ‘Black Box’ Optimization of Generative Modelshttps://exarchakis.net/publication/truncated-variational-sampling-for-black-box-optimization-of-generative-models/Sat, 30 Jun 2018 14:38:58 +0200https://exarchakis.net/publication/truncated-variational-sampling-for-black-box-optimization-of-generative-models/What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approachhttps://exarchakis.net/publication/what-are-the-invariant-occlusive-components-of-image-patches-a-probabilistic-generative-approach/Thu, 05 Dec 2013 00:00:00 +0000https://exarchakis.net/publication/what-are-the-invariant-occlusive-components-of-image-patches-a-probabilistic-generative-approach/<!-- More detail can easily be written here using *Markdown* and $\rm \LaTeX$ math code. -->Learning invariant features by harnessing the aperture problemhttps://exarchakis.net/publication/learning-invariant-features-by-harnessing-the-aperture-problem/Wed, 05 Jun 2013 00:00:00 +0000https://exarchakis.net/publication/learning-invariant-features-by-harnessing-the-aperture-problem/<!-- More detail can easily be written here using *Markdown* and $\rm \LaTeX$ math code. -->