AIMC Topic: Neural Networks, Computer

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Exponential stability of infinite-dimensional impulsive stochastic systems with Poisson jumps under aperiodically intermittent control.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
This paper studies the problem of mean square exponential stability (ES) for a class of impulsive stochastic infinite-dimensional systems with Poisson jumps (ISIDSP) using aperiodically intermittent control (AIC). It provides a detailed analysis of i...
Stochastic Processes Algorithms Neural Networks, Computer Poisson Distribution Computer Simulation
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Spectral physics-informed neural network for transient pipe flow simulation.

Water research Jul 1, 2025
Accurate wave propagation models are essential for effective monitoring and automated localization in water supply pipelines. The recently-established Physics-Informed Neural Networks (PINNs) can enhance the wave analysis and reduce uncertainties by ...
Water Supply Water Movements Neural Networks, Computer Models, Theoretical
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Revisiting face forgery detection towards generalization.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Face forgery detection aims to distinguish AI generated fake faces with real faces. With the rapid development of face forgery creation algorithms, a large number of generative models have been proposed, which gradually reduce the local distortion ph...
Artificial Intelligence Algorithms Neural Networks, Computer Generalization, Psychological Face Humans
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Complex quantized minimum error entropy with fiducial points: theory and application in model regression.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Minimum error entropy with fiducial points (MEEF) has gained significant attention due to its excellent performance in mitigating the adverse effects of non-Gaussian noise in the fields of machine learning and signal processing. However, the original...
Algorithms Neural Networks, Computer Machine Learning Entropy Humans Regression Analysis
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HCPI-HRL: Human Causal Perception and Inference-driven Hierarchical Reinforcement Learning.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
The dependency on extensive expert knowledge for defining subgoals in hierarchical reinforcement learning (HRL) restricts the training efficiency and adaptability of HRL agents in complex, dynamic environments. Inspired by human-guided causal discove...
Humans Neural Networks, Computer Reinforcement, Psychology Reward Perception Algorithms
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Learn the global prompt in the low-rank tensor space for heterogeneous federated learning.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Federated learning collaborates with multiple clients to train a global model, enhancing the model generalization while allowing the local data transmission-free and security. However, federated learning currently faces three intractable challenges: ...
Humans Machine Learning Neural Networks, Computer Learning Algorithms Federated Learning
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Simulation of a Free Boundary Cell Migration Model through Physics Informed Neural Networks.

Journal of the mechanical behavior of biomedical materials Jul 1, 2025
Understanding the complexities of single-cell migration is facilitated by computational modeling, which provides important insights into the physiological processes that underlie migration mechanisms. This study developed a computational model for on...
Biomechanical Phenomena Cell Movement Neural Networks, Computer Mechanical Phenomena Models, Biological Actins Actomyosin
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StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic client participation.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Federated learning is a distributed learning framework that takes full advantage of private data samples kept on edge devices. In real-world federated learning systems, these data samples are often decentralized and Non-Independently Identically Dist...
Cluster Analysis Algorithms Federated Learning Stochastic Processes Neural Networks, Computer Humans Machine Learning
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Dataset-free weight-initialization on restricted Boltzmann machine.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
In feed-forward neural networks, dataset-free weight-initialization methods such as LeCun, Xavier (or Glorot), and He initializations have been developed. These methods randomly determine the initial values of weight parameters based on specific dist...
Algorithms Normal Distribution Neural Networks, Computer
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Continual learning of conjugated visual representations through higher-order motion flows.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Learning with neural networks from a continuous stream of visual information presents several challenges due to the non-i.i.d. nature of the data. However, it also offers novel opportunities to develop representations that are consistent with the inf...
Machine Learning Neural Networks, Computer Motion Humans
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