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ORCID33rd ICANN 2024: Lugano, Switzerland - Part IV
- Michael Wand
, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko:
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15019, Springer 2024, ISBN 978-3-031-72340-7
Brain-Inspired Computing
- Yuguo Liu, Wenyu Chen, Hanwen Liu, Yun Zhang, Liwei Huang, Hong Qu:
A Multiscale Resonant Spiking Neural Network for Music Classification. 3-16 - Robin Weiler, Matthias Brucklacher, Cyriel M. A. Pennartz, Sander M. Bohté:
Masked Image Modeling as a Framework for Self-Supervised Learning Across Eye Movements. 17-31 - Krzysztof Lebioda, Alexandre Pitti, Fabrice O. Morin, Alois Knoll:
Serial Order Codes for Dimensionality Reduction in the Learning of Higher-Order Rules and Compositionality in Planning. 32-46 - Ankita Paul, Anup Das:
Sparsity Aware Learning in Feedback-Driven Differential Recurrent Neural Networks. 47-57 - Yanchen Li, Jiachun Li, Kebin Sun, Luziwei Leng, Ran Cheng:
Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion. 58-73
Cognitive and Computational Neuroscience
- Shirin Reyhanian, Zahra Fayyaz, Laurenz Wiskott:
Analysis of a Generative Model of Episodic Memory Based on Hierarchical VQ-VAE and Transformer. 77-93 - P. Michael Furlong, Kathryn Simone, Nicole Sandra-Yaffa Dumont, Madeleine Bartlett, Terrence C. Stewart, Jeff Orchard, Chris Eliasmith:
Biologically-Plausible Markov Chain Monte Carlo Sampling from Vector Symbolic Algebra-Encoded Distributions. 94-108 - Hui Wei, Chenyue Feng, Jianning Zhang:
Dynamic Graph for Biological Memory Modeling: A System-Level Validation. 109-123 - Davide Borra, Stefano Diciotti, Elisa Magosso:
EEG Features Learned by Convolutional Neural Networks Reflect Alterations of Social Stimuli Processing in Autism. 124-136 - Roseli Suzi Wedemann, Angel Ricardo Plastino, Constantino Tsallis, Evaldo M. F. Curado:
Estimate of the Storage Capacity of q-Correlated Patterns in Hopfield Neural Networks. 137-150 - Asato Fujimoto, Sou Nobukawa, Yusuke Sakemi, Yoshiho Ikeuchi, Kazuyuki Aihara:
Revealing Functions of Extra-Large Excitatory Postsynaptic Potentials: Insights from Dynamical Characteristics of Reservoir Computing with Spiking Neural Networks. 151-165
Explainable Artificial Intelligence
- Chenke Yin, Jia Wang, Haichao Zhang, Kaiyue Feng, Lin Shi, Qianyi Ma:
Counterfactual Contrastive Learning for Fine Grained Image Classification. 169-183 - Yukai Zhang, Ao Xu, Zihao Li, Tieru Wu:
Enhancing Counterfactual Image Generation Using Mahalanobis Distance with Distribution Preferences in Feature Space. 184-198 - Liyuan Gao, Huixin Zhan, Victor S. Sheng:
Exploring Task-Specific Dimensions in Word Embeddings Through Automatic Rule Learning. 199-214 - Ao Xu, Tieru Wu:
Generally-Occurring Model Change for Robust Counterfactual Explanations. 215-229 - András Formanek, Edward De Brouwer, Péter Antal, Yves Moreau, Adam Arany:
Model Based Clustering of Time Series Utilizing Expert ODEs. 230-245 - Xinshuang Liu, Yue Zhao:
Towards Generalizable and Interpretable AI-Modified Image Detectors. 246-257
Robotics
- Xiaowen Sun, Xufeng Zhao, Jae Hee Lee, Wenhao Lu, Matthias Kerzel, Stefan Wermter:
Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning. 261-275 - Qi'ang Cai, Xiaolin Ai, Tianqi Liu, Zhiqiang Pu, Jianqiang Yi, Feng Lv:
Neural Formation A*: A Knowledge-Data Hybrid-Driven Path Planning Algorithm for Multi-agent Formation Cooperation. 276-290 - Jingzehua Xu, Ziqi Jia, Zekai Zhang, Tianyu Xing, Jingjing Wang, Yong Ren:
Robust Navigation for Unmanned Surface Vehicle Utilizing Improved Distributional Soft Actor-Critic. 291-305 - Philipp Allgeuer, Hassan Ali, Stefan Wermter:
When Robots Get Chatty: Grounding Multimodal Human-Robot Conversation and Collaboration. 306-321
Reinforcement Learning
- Wangyang Yue, Yuan Zhou, Xiaochuan Zhang, Yuchen Hua, Minne Li, Zunlin Fan, Zhiyuan Wang, Guang Kou:
Asymmetric Actor-Critic for Adapting to Changing Environments in Reinforcement Learning. 325-339 - Julen Cestero, Marco Quartulli, Marcello Restelli:
Building Surrogate Models Using Trajectories of Agents Trained by Reinforcement Learning. 340-355 - Jianrui Wang, Yi Li, Qiyu Sun, Yang Tang:
Demand-Responsive Transport Dynamic Scheduling Optimization Based on Multi-agent Reinforcement Learning Under Mixed Demand. 356-368 - Wen Zheng Terence Ng, Jianda Chen:
Dual Action Policy for Robust Sim-to-Real Reinforcement Learning. 369-380 - Yalou Yu, Bo Xia, Minzhi Xie, Zhiheng Li, Xuwqian Wang:
Dynamic Modeling for Reinforcement Learning with Random Delay. 381-396 - Shengjie Sun, Jiafei Lyu, Lu Li, Jiazhe Guo, Mengbei Yan, Runze Liu, Xiu Li:
Enhancing Visual Generalization in Reinforcement Learning with Cycling Augmentation. 397-411 - BingCheng He, Han Wang, Qingshan Li:
Speeding up Meta-exploration via Latent Representation. 412-426
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