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08/02/2023
Digital Twin Brain: a simulation and assimilation platform for whole human brain
In this work, we present a computing platform named digital twin brain (...
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07/25/2023
Modify Training Directions in Function Space to Reduce Generalization Error
We propose theoretical analyses of a modified natural gradient descent m...
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05/30/2023
Probabilistic Computation with Emerging Covariance: Towards Efficient Uncertainty Quantification
Building robust, interpretable, and secure artificial intelligence syste...
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05/23/2023
Toward spike-based stochastic neural computing
Inspired by the highly irregular spiking activity of cortical neurons, s...
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05/02/2022
FedDKD: Federated Learning with Decentralized Knowledge Distillation
The performance of federated learning in neural networks is generally in...
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04/27/2021
An Event-based Parameter Switching Method for Controlling Cybersecurity Dynamics
This paper proposes a new event-based parameter switching method for the...
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01/22/2020
Preventive and Reactive Cyber Defense Dynamics with Ergodic Time-dependent Parameters Is Globally Attractive
Cybersecurity dynamics is a mathematical approach to modeling and analyz...
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03/18/2019
Intelligent Solution System towards Parts Logistics Optimization
Due to the complication of the presented problem, intelligent algorithms...
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05/22/2018
Meta-Learning with Hessian Free Approach in Deep Neural Nets Training
Meta-learning is a promising method to achieve efficient training method...
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10/28/2017
Left-Right Skip-DenseNets for Coarse-to-Fine Object Categorization
Inspired by the recent neuroscience studies on the left-right asymmetry ...
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04/02/2016
Centralized and Decentralized Global Outer-synchronization of Asymmetric Recurrent Time-varying Neural Network by Data-sampling
In this paper, we discuss the outer-synchronization of the asymmetricall...
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04/02/2016