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10/27/2022
On the Approximation and Complexity of Deep Neural Networks to Invariant Functions
Recent years have witnessed a hot wave of deep neural networks in variou...
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11/11/2021
Towards Theoretical Understanding of Flexible Transmitter Networks via Approximation and Local Minima
Flexible Transmitter Network (FTNet) is a recently proposed bio-plausibl...
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11/08/2021
ARISE: ApeRIodic SEmi-parametric Process for Efficient Markets without Periodogram and Gaussianity Assumptions
Mimicking and learning the long-term memory of efficient markets is a fu...
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09/30/2021
LIFE: Learning Individual Features for Multivariate Time Series Prediction with Missing Values
Multivariate time series (MTS) prediction is ubiquitous in real-world fi...
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08/29/2021
Neural Network Gaussian Processes by Increasing Depth
Recent years have witnessed an increasing interest in the correspondence...
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08/15/2021
Towards Understanding Theoretical Advantages of Complex-Reaction Networks
Complex-valued neural networks have attracted increasing attention in re...
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04/08/2020
Flexible Transmitter Network
Current neural networks are mostly built upon the MP model, which usuall...
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09/18/2019
