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{ "item_title" : "Discovery Science", "item_author" : [" Mattia Cerrato", "Jan N. Van Rijn", "Stefan Kramer "], "item_description" : "The DS 2026 constitutes the proceedings of the 29th International Conference on Discovery Science, DS 2026, which took place in Mainz, Germany, during October 5-9 2026. The 52 full papers presented in this volume were carefully reviewed and selected from 113 submissions. They were organized in topical sections as follows: Explainable AI; Hypothesis Generation and Causal Discovery; Language Models and Automated Scientific Discovery; Retrieval-Augmented Generation, Agentic AI; Physics-Informed Machine Learning; Computational Equation Discovery and Symbolic Regression; Benchmarking Methodologies; Continual; Transfer and Meta-Learning; Machine Learning: Representation Learning; Clustering and Model Design and Machine Learning Applications.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/241/085/3032410851_b.jpg", "price_data" : { "retail_price" : "99.99", "online_price" : "99.99", "our_price" : "99.99", "club_price" : "99.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Discovery Science|Mattia Cerrato

Discovery Science : 29th International Conference, DS 2026, Mainz, Germany, October 5-9, 2026, Proceedings

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Overview

The DS 2026 constitutes the proceedings of the 29th International Conference on Discovery Science, DS 2026, which took place in Mainz, Germany, during October 5-9 2026.

The 52 full papers presented in this volume were carefully reviewed and selected from 113 submissions. They were organized in topical sections as follows: Explainable AI; Hypothesis Generation and Causal Discovery; Language Models and Automated Scientific Discovery; Retrieval-Augmented Generation, Agentic AI; Physics-Informed Machine Learning; Computational Equation Discovery and Symbolic Regression; Benchmarking Methodologies; Continual; Transfer and Meta-Learning; Machine Learning: Representation Learning; Clustering and Model Design and Machine Learning Applications.

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Details

  • ISBN-13: 9783032410856
  • ISBN-10: 3032410851
  • Publisher: Springer
  • Publish Date: October 2026
  • Dimensions: 9.21 x 6.14 x 1.7 inches
  • Shipping Weight: 2.59 pounds
  • Page Count: 837

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