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| Link zu diesem Datensatz | https://d-nb.info/134229968X |
| Art des Inhalts | Konferenzschrift |
| Titel | Artificial Neural Networks and Machine Learning – ICANN 2024 : 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17–20, 2024, Proceedings, Part IV / edited by Michael Wand, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko |
| Person(en) |
Wand, Michael (Herausgeber) Malinovská, Kristína (Herausgeber) Schmidhuber, Jürgen (Herausgeber) Tetko, Igor (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2024 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2024 |
| Umfang/Format | Online-Ressource, XXXIV, 428 p. 138 illus., 136 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-72340-7 Printed edition:: ISBN: 978-3-031-72342-1 |
| Inhalt | -- Brain-inspired ComputingBrain-inspired Computing. -- A Multiscale Resonant Spiking Neural Network for Music Classification. -- Masked Image Modeling as a Framework for Self-Supervised Learning across Eye Movements. -- Serial Order Codes for Dimensionality Reduction in the Learning of Higher-Order Rules and Compositionality in Planning. -- Sparsity aware Learning in Feedback-driven Differential Recurrent Neural Networks. -- Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion. -- Cognitive and Computational Neuroscience. -- Analysis of a Generative Model of Episodic Memory Based on Hierarchical VQ-VAE and Transformer. -- Biologically-plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-encoded Distributions. -- Dynamic Graph for Biological Memory Modeling: A System-Level Validation. -- EEG features learned by convolutional neural networks reflect alterations of social stimuli processing in autism. -- Estimate of the Storage Capacity of q-Correlated Patterns in Hopfield Neural Networks. -- An Accuracy-Shaping Mechanism for Competitive Distributed Learning. -- Explainable Artificial Intelligence. -- Counterfactual Contrastive Learning for Fine Grained Image Classification. -- Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space. -- Exploring Task-Specific Dimensions in Word Embeddings Through Automatic Rule Learning. -- Generally-Occurring Model Change for Robust Counterfactual Explanations. -- Model Based Clustering of Time Series Utilizing Expert ODEs. -- Towards Generalizable and Interpretable AI-Modified Image Detectors. -- Understanding Deep Networks via Multiscale Perturbations. -- Robotics. -- Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning. -- Neural Formation A*: A Knowledge-Data Hybrid-Driven Path Planning Algorithm for Multi-agent Formation Cooperation. -- Robust Navigation for Unmanned Surface Vehicle Utilizing Improved Distributional Soft Actor-Critic. -- When Robots Get Chatty: Grounding Multimodal Human-Robot Conversation and Collaboration. -- Reinforcement Learning. -- Asymmetric Actor-Critic for Adapting to Changing Environments in Reinforcement Learning. -- Building surrogate models using trajectories of agents trained by Reinforcement Learning. -- Demand-Responsive Transport Dynamic Scheduling Optimization Based on Multi-Agent Reinforcement Learning under Mixed Demand. -- Dual Action Policy for Robust Sim-to-Real Reinforcement Learning. -- Enhancing Visual Generalization in Reinforcement Learning with Cycling Augmentation. -- Speeding up Meta-Exploration via Latent Representation |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2409180419512.516402033654 DOI: 10.1007/978-3-031-72341-4 |
| URL | https://doi.org/10.1007/978-3-031-72341-4 |
| ISBN/Einband/Preis | 978-3-031-72341-4 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15019 |
| DDC-Notation | 004.3 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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