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--- ml4gamma:wdocs:main [12/07/2025 14:34] – [Domain Adaptation] demichev
+++ ml4gamma:wdocs:main [26/02/2026 09:11] (current) – [Нормализующие потоки] demichev
@@ Line 11: / Line 11: @@
   * [[:ml4gamma:wdocs:data_format_hiscore|Формат данных TAIGA-HiSCORE (после моделирования триггера)]]
   * [[:ml4gamma:wdocs:data_mc_stats|Статистика моделирования]]
+===== Анализ изображений IACT =====
+==== Параметры Хилласа ====
+  * {{ :ml4gamma:wdocs:2210.03771v1-gamma-hadron_separation.pdf |Jashwanth S, Sudeep Ghosh, Kavitha Yogaraj, Neha Shah, and Ankhi Roy. "G AMMA - HADRON S EPARATION IN I MAGING ATMOSPHERIC C HERENKOV T ELESCOPES USING Q UANTUM C LASSIFIERS"}}. ArXiv:2210.03771
+  * {{ :ml4gamma:wdocs:описание_параметров_хилласа.pdf |Описание параметров Хилласа}} (Е.Гресь)
+  * Вычисление {{ :ml4gamma:wdocs:iact_image_hp_calc.py.zip |параметров Хилласа для IACT}} (Е.Гресь)
+===== Multimodal =====
+  * {{ :ml4gamma:wdocs:jacquemont_visapp21_multitask.pdf |Multi-Task Architecture with Attention for Imaging
+Atmospheric Cherenkov Telescope Data Analysis}}
+  * {{ :ml4gamma:wdocs:adass2021-multitasks.pdf |Single Imaging Atmospheric Cherenkov Telescope Full-Event
+Reconstruction with a Deep Multi-Task Learning Architecture}}
+  * {{ :ml4gamma:wdocs:mmml-tutorial-acl2017.pdf |Tutorial on Multimodal Machine Learning}}
 ===== Нормализующие потоки =====
@@ Line 17: / Line 34: @@
   * {{ :ml4gamma:wdocs:nf_pres-2.pdf|Нормализующие потоки. Часть 2: Детектирование аномальных и редких явлений.}}
   * См. также {{ :ml4gamma:wdocs:understandingdeeplearning_08_28_24_c.pdf |Understanding Deep Learning}}
+  * {{ ::ml4gamma:wdocs:inn_inverseproblem.pdf |Inverse Problems with Invertible Neural Networks}}
+  * {{ :ml4gamma:meetings:imagedenoising.pdf |Disentangling Noise from Images: A Flow-Based Image Denoising Neural Network}}
+  * {{ ::ml4gamma:wdocs:freia.pdf |FrEIA: Framework for Easily Invertible Architectures}}
 ===== Domain Adaptation =====