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--- dlcp2026:timetable [26/08/2026 11:02] – [Section 2. Machine Learning in Natural Sciences] admin
+++ dlcp2026:timetable [26/08/2026 11:10] (current) – admin
@@ Line 28: / Line 28: @@
 ||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 |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}} | A.Kryukov \\ Invited report ||
+||15:15-15:30 | {{:dlcp2026:slides:49.gres-b.pdf|49. Deep learning methods for gamma event selection in TAIGA-IACT image analysis in stereo-mode}} | A.Kryukov \\ Invited report ||
 ||15:30-15:45 | {{ :dlcp2026:slides:31.saraev.pdf|31. Реконструкция ориентации многоканального изображающего детектора с помощью нейросетевой оценки отношения }}|Р.Е. Сараев||
 ||15:45-16:00 | {{:dlcp2026:slides:54.shorokhov.pdf|54. On neural inverse problem of celestial mechanics}} | *Shorokhov Sergey ||
@@ Line 66: / Line 66: @@
 ||16:30-16:45  | {{:dlcp2026:slides:6.ilyin.pdf|6. О предподготовке входных данных для спайковых нейронных сетей}} | В.А. Ильин ||
 || 16:45-17:00 | {{:dlcp2026:slides:50.volkov.pdf|50. Methodology for Processing Open Data for Machine Learning Models in BSM Searches}} | Volkov P ||
-/** || 17:00-17:15 | <del>1. Invertible Neural Networks and the Possibility of
-their Applications to Cosmic Rays Data Analysis</del> {{:dlcp2026:canceled.png?64|}} | A.Kryukov || **/
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