Artificial Neural Networks and Machine Learning - ICANN 2025 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part II

The four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9 12, 2025.
The 170 full papers and 8 abstracts included in these conference proceedings were carefully reviewed and selected from 375 submissions. The conference strongly values the synergy between theoretical progress and impactful real-world applications, and actively encourages contributions that demonstrate how artificial neural networks are being used to address pressing societal and technological challenges.

Summary

The four-volume set LNCS 16068-16071 constitutes the proceedings of the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9–12, 2025.


The 170 full papers and 8 abstracts included in these conference proceedings were carefully reviewed and selected from 375 submissions. The conference strongly values the synergy between theoretical progress and impactful real-world applications, and actively encourages contributions that demonstrate how artificial neural networks are being used to address pressing societal and technological challenges.

Product details

• Assisted by: Ausra Saudargiene et al (Editor), Alessandro E. P. Villa (Editor), Viktor Jirsa (Editor), Yoshua Bengio (Editor), Walter Senn (Editor), Marcello Sanguineti (Editor), Igor V. Tetko (Editor), Ausra Saudargiene (Editor), Alessandro E.P Villa (Editor)
• Publisher: Springer, Berlin
• Content: Book
• Product form: Paperback / Softback
• Publication date: 06.10.2025
• Subject: Natural sciences, medicine, IT, technology > IT, data processing > IT
• EAN: 9783032045454
• ISBN: 978-3-0-3204545-4
• Pages: 671
• Illustrations: XL, 671 p. 249 illus., 242 illus. in color.
• Dimensions (packing): 15.5 x 23.5 cm
• Series: Lecture Notes in Computer Science
• Subjects: machine learning, Robotics, Artificial Intelligence, Deep Learning, angewandte informatik, Informationstechnik (IT), allgemeine Themen, Netzwerk-Hardware, Classification, Neural Networks, Reinforcement Learning, Computer and Information Systems Applications, Computer Communication Networks, Image processing, Computing Milieux, Large Language Models, Reservoir Computing, Generative Models, Spiking Neural Networks, Graph Neural Networks