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dlcp2026:timetable [26/08/2026 11:03] – [Section 2. Machine Learning in Natural Sciences] admindlcp2026:timetable [26/08/2026 11:10] (current) admin
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 ||14:45-15:00 | {{:dlcp2026:slides:17.abasov.pdf|17. Lorentz-Equivariant Geometric Algebra Transformers for Top-Quark Event Reconstruction}} | Abasov E. || ||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 || || 15:00-15:15 | {{ :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|| ||15:30-15:45 | {{ :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 || ||15:45-16:00 | {{:dlcp2026:slides:54.shorokhov.pdf|54. On neural inverse problem of celestial mechanics}} | *Shorokhov Sergey ||
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