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Chuguang Pan


Last seen: Today Actif depuis 2019

Followers: 4   Following: 12

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Continuous learning matters enormously. Knowledge and industries change fast these days, so we can not stop learning once we master a set of skills. Keeping learning helps us broaden our horizons, improve our problem-solving skills and stay competitive in both work and life.

Programming Languages:
MATLAB, Python, C
Spoken Languages:
English, Chinese
Pronouns:
He/him
Professional Interests:
Control Algorithm Design, Signal and Data Processing, Mechanical Engineering

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Latent Augmented Neural Ordinary Differential Equations
Latent augmented neural ordinary differential equation (LANODE) for data-driven modeling of dynamic systems.

1 jour il y a | 2 téléchargements |

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Generalized State Space Layer for Sampling Rate Shift
Generalized State Space (GSS) layer can process input sampling rate shift based on SSM with learnable timescale.

3 jours il y a | 2 téléchargements |

0.0 / 5

A résolu


Swap the column given with another one!
We have a random sized matrix A. You have to change the nth column with the kth column. The result must be a matrix B. For exam...

4 jours il y a

Question


pinv function is supported for dlarray input while the pageinv function is not supported
In the deep learning pipeline, I want to use inverse operation on every page of 3D dlarray object. I have tried pageinv function...

6 jours il y a | 2 réponses | 0

2

réponses

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Wavelet-Structured Gated Recurrent Unit Layer
Customized Wavelet-Structured Gated Recurrent Unit (WSGRU) layer for multivariate time series analysis.

6 jours il y a | 1 téléchargement |

0.0 / 5

Réponse apportée
How to multiple very large numbers in Matlab?
@Manny. You can use sym function to obtain accurate symbolic result. accurateNum = sym("111111111"); res = accurateNum.^2

6 jours il y a | 2

A soumis


Caputo Fractional-Order GRU for Time-Series Learning
Caputo fractional-order extension model is integrated into the GRU state update mechanism based on Caputo fractional derivative....

8 jours il y a | 1 téléchargement |

0.0 / 5

Réponse apportée
dlarray supported alternatives of matrix inverse and matrix determinant
After refering to the Example presented in Specify Custom Operation Backward Function and the Matrix calculus formula. I define ...

12 jours il y a | 0

Question


dlarray supported alternatives of matrix inverse and matrix determinant
I want to use matrix inverse and matrix determinant in the Dynamic Computation Graph of the deep learning model. However, there ...

12 jours il y a | 1 réponse | 0

1

réponse

A soumis


Customized MambaBlock Layer Using Minimal Implementation
Minimal implementation of MambaBlock.

14 jours il y a | 3 téléchargements |

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A soumis


Flow Matching Example for Generative Modeling
FlowMatching (FW) model builds the probability path from source distribution to target distribution.

16 jours il y a | 4 téléchargements |

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A résolu


Find the standard deviation of non-zero elements in a matrix
Given a matrix A, calculate the sample standard deviation of only the non-zero elements. If there are fewer than 2 non-zero ...

18 jours il y a

A soumis


Split Input Function Layer with Multi-Outputs
Split input with uniform block size along channel ("C") dimension based on functionLayer.

20 jours il y a | 1 téléchargement |

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A soumis


RBFKAN for Physics-Informed Machine Leaning
RBFKAN constructs its edge activation functions as a linear combination of radial basis functions.

21 jours il y a | 5 téléchargements |

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Customized Linformer Attention Layer
Linformer: multi-head linear attention with low-rank temporal projection.

24 jours il y a | 1 téléchargement |

0.0 / 5

A soumis


Gated Mamba Module based on Deep Learning Toolbox
Gated mamba module for multivariates time sequence deep learning.

26 jours il y a | 2 téléchargements |

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A soumis


Neural Dynamics Gradient Time Acceleration Optimizer
NDGTA optimizer guides parameters of neural networks toward flat minima during the training for generalization.

27 jours il y a | 2 téléchargements |

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Deep Gaussian Process (DGP) Layer for DGP Integration
Deep Gaussian Processes (DGPs) are hierarchical Bayesian non-parametric models that extend standard Gaussian Processes for deep ...

29 jours il y a | 4 téléchargements |

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Symbolic KANs for Interpretable Learning
Symbolic Kolmogorov-Arnold Networks (Symbolic-KANs) embeds symbolic structure directly within a trainable network.

environ un mois il y a | 3 téléchargements |

0.0 / 5

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Customized Spike Neuron Layers for Spiking Neural Networks
SpikeIFNeuronLayer and SpikeLIFNeuronLayer for constructing Spiking Neural Networks (SNNs).

environ un mois il y a | 2 téléchargements |

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Tensorized LSTM Network with Mixture Attention
Tensorized LSTM unit for multivariate time series (MTS) learning. Mixture Attention for variable attention and temproal attentio...

environ 2 mois il y a | 8 téléchargements |

0.0 / 5

Question


Custom Deep Learning Layer with different input and output format occurs error
When I construct the custom deep learning layer with formattable input and output, checkLayer function returns error when the in...

environ 2 mois il y a | 1 réponse | 0

1

réponse

A soumis


Spiking Neural Network Example using Spiking LIF Layer
Customized Spiking LIF (Leaky-and-Firing) Layer without learnable parameters for constructing Spiking Neural Networks (SNNs).

environ 2 mois il y a | 8 téléchargements |

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Customized Invertible Attention Layer
Invertible Attention Layer (IAL) constructed based on Deep Learning Toolbox for conditional invertible neural networks (cINNs).

environ 2 mois il y a | 2 téléchargements |

0.0 / 5
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Question


How to ensurethat the sum([0.7 0.2 0.1])==1 return true when testing equivalence relation
I find that when I want to test the equivalence between sum([0.7 0.2 0.1]) and 1, the testing result return false. I think the e...

environ 2 mois il y a | 2 réponses | 0

2

réponses

A soumis


Wavelet Kolmogorov-Arnold Layers
Wavelet Kolmogorov-Arnold Networks (Wav-KAN) framework for enhancing interpretability and performance.

environ 2 mois il y a | 14 téléchargements |

0.0 / 5
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Customized BiGRU Layer using Deep Learning Toolbox
BiGRU layer constructed based on Deep Learning Toolbox.

2 mois il y a | 3 téléchargements |

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Question


How is the spectralConvolution1dLayer forward computation process performed
spectralConvolution1dLayer performs convolution on 1-D input using frequency domain transformations. The layer convolves the in...

2 mois il y a | 1 réponse | 0

1

réponse

A résolu


MATLAB 101: Reverse a Vector
Write a MATLAB function that takes a 1D vector (either a row or a column vector) and returns the vector with its elements in exa...

3 mois il y a

A soumis


Multi Head Hybrid Adaptive Attention Mechanism
Multi-head hybrid adaptive attention (MHAA) mechanism integrating MSA and MEA.

3 mois il y a | 6 téléchargements |

0.0 / 5
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