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dlcp2026:timetable1 [03/07/2026 12:06] – [Section 1. Machine Learning in Fundamental Physics] admindlcp2026:timetable1 [03/07/2026 12:22] (current) – [Section 3. Machine Learning for Environmental Sciences] admin
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 ||14:30-14:45 | {{:dlcp2026:reports:27-rep.pdf|27. Application of machine learning for the analysis of four-jet final states in the CEPC experiment}} | A.Staritsyna || ||14:30-14:45 | {{:dlcp2026:reports:27-rep.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:reports:36-rep.pdf|36. Towards Foundational Models for HEP: Learning Universal Top-Quark Event Representations}} | Zaborenko A. || ||14:45-15:00 | {{:dlcp2026:reports:36-rep.pdf|36. Towards Foundational Models for HEP: Learning Universal Top-Quark Event Representations}} | Zaborenko A. ||
-|| 15:00-15:15 | {{:dlcp2026:reports:1-rep.pdf|1.}} | A.Kryukov ||+|| 15:00-15:15 | {{ :dlcp2026:reports:07-rep.pdf |Shower Core Reconstruction in the HiSCORE Experiment using Neural Networks fed by Autoencoder-Derived Essential Features}} | J.Dubenskaya ||
 ||15:15-15:30 | {{:dlcp2026:reports:49-rep.pdf|49. Deep learning methods for gamma event selection in TAIGA-IACT image analysis in stereo-mode}} | *Е.О. Гресь || ||15:15-15:30 | {{:dlcp2026:reports:49-rep.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:reports:50-rep.pdf|50. Methodology for Processing Open Data for Machine Learning Models in BSM Searches}} | Volkov P || ||15:30-15:45 | {{:dlcp2026:reports:50-rep.pdf|50. Methodology for Processing Open Data for Machine Learning Models in BSM Searches}} | Volkov P ||
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 || 17:00-17:15  | {{ :dlcp2026:reports:03-rep.pdf |3. Применение графовых нейронных сетей для сегментации хитов в глубоководном нейтринном телескопе Baikal-GVD}}| Лев Осадчий || || 17:00-17:15  | {{ :dlcp2026:reports:03-rep.pdf |3. Применение графовых нейронных сетей для сегментации хитов в глубоководном нейтринном телескопе Baikal-GVD}}| Лев Осадчий ||
 || 17:15-17:30  |{{ :dlcp2026:reports:14-rep.pdf |14. Kohn–Sham Spectral Embedding on Sparse Graphs at the Nishimori Temperature for Image Classification}} | V. S. Usatyuk   || || 17:15-17:30  |{{ :dlcp2026:reports:14-rep.pdf |14. Kohn–Sham Spectral Embedding on Sparse Graphs at the Nishimori Temperature for Image Classification}} | V. S. Usatyuk   ||
-|| 17:30-17:45 | {{ :dlcp2026:reports:07-rep.pdf |Shower Core Reconstruction in the HiSCORE Experiment using Neural Networks fed by Autoencoder-Derived Essential Features}} | J.Dubenskaya ||+|| 15:00-15:15 | {{:dlcp2026:reports:01-rep.pdf|1. Invertible Neural Networks and the Possibility of 
 +their Applications to Cosmic Rays Data Analysis}} | A.Kryukov ||
  
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 ===== Section 2. Machine Learning in Natural Sciences ===== ===== Section 2. Machine Learning in Natural Sciences =====
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