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--- ml4gamma:biblio [05/07/2024 19:01] – ↷ Page moved from grants:ml4gamma:biblio to ml4gamma:biblio admin
+++ ml4gamma:biblio [07/05/2025 09:49] (current) – [Гамма астрономия] admin
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 ===== Общие вопросы МО =====
+  * [[https://education.yandex.ru/handbook/ml|Учебник по машинному обучению Yandex]]
   * [[https://www.youtube.com/@razinkov|Разников]].
     * Оченть интересный видеокурс по МО
   * [[https://arxiv.org/abs/2404.19756v2|KAN: Kolmogorov–Arnold Networks]], arXiv:2404.19756v2
+  * [[https://habr.com/ru/companies/ods/articles/442002/|Знакомство с Neural ODE]]
+  * [[https://logic.pdmi.ras.ru/~sergey/teaching/maderl20/|Лекции по МО Сергея Николенко]]
 ===== Редкие, аномальные события =====
@@ Line 36: / Line 39: @@
 ===== Мультимодальные данные =====
-  * Louis-Philippe Morency and Tadas Baltrusaitis. [[https://www.cs.cmu.edu/~morency/MMML-Tutorial-ACL2017.pdf|CMU Course 11-777]] {{ :grants:ml4gamma:mmml-tutorial-acl2017.pdf |Tutorial on Multimodal Machine Learning}}
+  * Louis-Philippe Morency and Tadas Baltrusaitis. [[https://www.cs.cmu.edu/~morency/MMML-Tutorial-ACL2017.pdf|CMU Course 11-777]] {{ ml4gamma:mmml-tutorial-acl2017.pdf |Tutorial on Multimodal Machine Learning}}
     * Подробное описание проблемы, включая историю вопроса.
   * Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency. [[https://arxiv.org/pdf/2209.03430|Arxiv:2209.03430]], Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions
@@ Line 45: / Line 48: @@
   * Marco Seeland ID*, Patrick Mäder. Multi-view classification with convolutional neural networks. [[https://doi.org/10.1371/journal.pone.0245230|doi:10.1371/journal.pone.0245230]]
-===== Другие вопросы МО =====
-  * M. Drozdova et. al. Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion Model, [[https://arxiv.org/pdf/2402.10204v2|arXiv:2402.10204v2]]
 ===== Гамма астрономия =====
   * Ti-Pei Li and  YuQian Ma, Analysis methods for results in gamma-ray astronomy, [[https://www.researchgate.net/publication/234438870|ResearchGate]], in The Astrophysical Journal, August 1983
-  * Tilman Plehna, Anja Buttera, Barry Dillona, and Claudius Krausea// Modern Machine Learning for LHC Physicists. [[https://arxiv.org/pdf/2211.01421v1|Axiv:2211.01421v1]]
+  * Tilman Plehna, Anja Buttera, Barry Dillona, and Claudius Krausea. Modern Machine Learning for LHC Physicists. [[https://arxiv.org/pdf/2211.01421v1|ArXiv: 2211.01421v1]]
   * Hannes Warnhofer, Samuel T. Spencer, and Alison M.W. Mitchell.Multi-View Deep Learning for Imaging Atmospheric Cherenkov Telescopes. [[https://arxiv.org/pdf/2403.18516v1|arXiv:2403.18516v1]]
+==== Предварительная обработка данных ====
+  * {{ :ml4gamma:pymap_python-based_data_analysis_package_with_a_ne.pdf |Mani KhuranaKunal Kumar et. al.}}, PyMAP: Python-Based Data Analysis Package with a New Image Cleaning Method to Enhance the Sensitivity of MACE Telescope
+===== Другие вопросы МО =====
+  * M. Drozdova et. al. Radio-astronomical Image Reconstruction with Conditional Denoising Diffusion Model, [[https://arxiv.org/pdf/2402.10204v2|arXiv:2402.10204v2]]