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--- dlcp2026:timetable [09/07/2026 09:54] – ↷ Page moved and renamed from dlcp2026:timetable:main to dlcp2026:timetable admin
+++ dlcp2026:timetable [20/07/2026 11:18] (current) – [Section 1. Machine Learning in Fundamental Physics] admin
@@ Line 27: / Line 27: @@
 ||14:30-14:45 | {{:dlcp2026:slides:27.staritsyna.pdf|27. Application of machine learning for the analysis of four-jet final states in the CEPC experiment}} | A.Staritsyna ||
 ||14:45-15:00 | {{:dlcp2026:slides:17.abasov.pdf|17. Lorentz-Equivariant Geometric Algebra Transformers for Top-Quark Event Reconstruction}} | Abasov E. ||
-|| 15:00-15:15 | {{ :dlcp2026:slides:07.dubenskaya.pdf |Neural Network-Based Shower Core Reconstruction in the HiSCORE Experiment using Autoencoder-Derived Essential Features}} | J.Dubenskaya ||
+|| 15:00-15:15 | {{ :dlcp2026:slides:07.dubenskaya.pdf |07. Neural Network-Based Shower Core Reconstruction in the HiSCORE Experiment using Autoencoder-Derived Essential Features}} | J.Dubenskaya ||
 ||15:15-15:30 | {{:dlcp2026:slides:49.gres.pdf|49. Deep learning methods for gamma event selection in TAIGA-IACT image analysis in stereo-mode}} | *Е.О. Гресь ||
 ||15:30-15:45 | {{ :dlcp2026:slides:31.saraev.pdf|31. Реконструкция ориентации многоканального изображающего детектора с помощью нейросетевой оценки отношения }}|Р.Е. Сараев||