Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions

34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part V
Erscheinungsjahr 2025
ISBN: 978-3-032-04551-5
Verlag: Springer

Buch, Englisch, 250 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 441 g

Reihe: Lecture Notes in Computer Science

This book constitutes the refereed proceedings of 34th International Workshops which were held in conjunction with the 34th International Conference on Artificial Neural Networks and Machine Learning, ICANN 2025, held in Kaunas, Lithuania, September 9–12, 2025.   The 20 full papers and 8 abstracts included in this workshop volume were carefully reviewed and selected from 42 submissions. They were organized in the following sections: 2nd AI in Drug Discovery (AIDD) Workshop; Special Session: Neural Networks for Graphs and Beyond; Special Session: Neurorobotics;  3rd International Workshop on Reservoir Computing.

Zielgruppe

Research

Autoren/Hrsg.

Senn, Walter

Sanguineti, Marcello

Saudargiene, Ausra

Tetko, Igor V.

Villa, Alessandro E. P.

Jirsa, Viktor

Bengio, Yoshua

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

.- 2nd AI in Drug Discovery (AIDD) Workshop.
.- Early-stage Discovery in the Era of Hard-to-Drug Targets and Giga-scale Chemical Spaces.
.- Comparative Analysis of Chemical Structure String Representations for Neural Machine Translation.
.- ADMETrix: ADMET-Driven De Novo Molecular Generation.
.- Dimension-Augmented Anisotropy in Graph Neural Di!usion.
.- Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction.
.- MolEncoder: Improved Masked Language Modeling for Molecules.
.- Consensus Prediction of Chemical Reactions with OCHEM-R Platform.
.- Special Session: Neural Networks for Graphs and Beyond.
.- HeNCler: Node Clustering in Heterophilous Graphs via Learned Asymmetric Similarity.
.- Visualisation and Analysis of the Loss Landscape in Graph Neural Networks.
.- Preface: Special Session: Neurorobotics.
.- Pointing-Guided Target Estimation via Transformer-Based Attention.
.- Keypoint-based Di!usion for Robotic Motion Planning on the NICOL Robot.
.- Real-Time Syllable Recognition in LIBRAS Using Deep Learning for Human-Robot Interaction.
.- Generating and Customizing Robotic Arm Trajectories using Neural Networks.
.- Robotic Calibration Based of Haptic Feedback Improves Sim-to-Real Transfer.
.- Towards Bio-Inspired Robotic Trajectory Planning via Self-Supervised RNN.
.- 3rd International Workshop on Reservoir Computing.
.- Impact of Plasticity-Based Reservoir Adaptation on Spectral Radius and Performance of ESNs.
.- Benchmarking Nonlinear Readouts in Linear Reservoir Networks.
.- Investigating Time-Scales in Deep Echo State Networks for Natural Language Pro-cessing.
.- A Spectral Interpretation of Redundancy in a Graph Reservoir.
.- Shaping Attractor Landscapes in Boolean Liquid State Machines via SDP and Global Plasticity.