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