Chuguang Pan
Programming Languages:
MATLAB, Python, C
Spoken Languages:
English, Chinese
Pronouns:
He/him
Professional Interests:
Control Algorithm Design, Signal and Data Processing, Mechanical Engineering
MATLAB, Python, C
Spoken Languages:
English, Chinese
Pronouns:
He/him
Professional Interests:
Control Algorithm Design, Signal and Data Processing, Mechanical Engineering
Feeds
已提交
Latent Augmented Neural Ordinary Differential Equations
Latent augmented neural ordinary differential equation (LANODE) for data-driven modeling of dynamic systems.
1 day 前 | 1 次下载 |
已提交
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 days 前 | 1 次下载 |
已解决
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 days 前
提问
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 days 前 | 2 个回答 | 0
2
个回答已提交
Wavelet-Structured Gated Recurrent Unit Layer
Customized Wavelet-Structured Gated Recurrent Unit (WSGRU) layer for multivariate time series analysis.
6 days 前 | 0 次下载 |
已回答
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
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 days 前 | 2
已提交
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 days 前 | 0 次下载 |
已回答
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 ...
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 days 前 | 0
提问
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 days 前 | 1 个回答 | 0
1
个回答已提交
Customized MambaBlock Layer Using Minimal Implementation
Minimal implementation of MambaBlock.
14 days 前 | 2 次下载 |
已提交
Flow Matching Example for Generative Modeling
FlowMatching (FW) model builds the probability path from source distribution to target distribution.
16 days 前 | 4 次下载 |
已解决
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 days 前
已提交
Split Input Function Layer with Multi-Outputs
Split input with uniform block size along channel ("C") dimension based on functionLayer.
20 days 前 | 1 次下载 |
已提交
RBFKAN for Physics-Informed Machine Leaning
RBFKAN constructs its edge activation functions as a linear combination of radial basis functions.
21 days 前 | 5 次下载 |
已提交
Customized Linformer Attention Layer
Linformer: multi-head linear attention with low-rank temporal projection.
24 days 前 | 1 次下载 |
已提交
Gated Mamba Module based on Deep Learning Toolbox
Gated mamba module for multivariates time sequence deep learning.
26 days 前 | 2 次下载 |
已提交
Neural Dynamics Gradient Time Acceleration Optimizer
NDGTA optimizer guides parameters of neural networks toward flat minima during the training for generalization.
27 days 前 | 2 次下载 |
已提交
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 days 前 | 4 次下载 |
已提交
Symbolic KANs for Interpretable Learning
Symbolic Kolmogorov-Arnold Networks (Symbolic-KANs) embeds symbolic structure directly within a trainable network.
1 month 前 | 3 次下载 |
已提交
Customized Spike Neuron Layers for Spiking Neural Networks
SpikeIFNeuronLayer and SpikeLIFNeuronLayer for constructing Spiking Neural Networks (SNNs).
1 month 前 | 1 次下载 |
已提交
Tensorized LSTM Network with Mixture Attention
Tensorized LSTM unit for multivariate time series (MTS) learning. Mixture Attention for variable attention and temproal attentio...
1 month 前 | 8 次下载 |
提问
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...
2 months 前 | 1 个回答 | 0
1
个回答已提交
Spiking Neural Network Example using Spiking LIF Layer
Customized Spiking LIF (Leaky-and-Firing) Layer without learnable parameters for constructing Spiking Neural Networks (SNNs).
2 months 前 | 6 次下载 |
已提交
Customized Invertible Attention Layer
Invertible Attention Layer (IAL) constructed based on Deep Learning Toolbox for conditional invertible neural networks (cINNs).
2 months 前 | 2 次下载 |
提问
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...
2 months 前 | 2 个回答 | 0
2
个回答已提交
Wavelet Kolmogorov-Arnold Layers
Wavelet Kolmogorov-Arnold Networks (Wav-KAN) framework for enhancing interpretability and performance.
2 months 前 | 14 次下载 |
已提交
Customized BiGRU Layer using Deep Learning Toolbox
BiGRU layer constructed based on Deep Learning Toolbox.
2 months 前 | 3 次下载 |
提问
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 months 前 | 1 个回答 | 0
1
个回答已解决
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 months 前
已提交
Multi Head Hybrid Adaptive Attention Mechanism
Multi-head hybrid adaptive attention (MHAA) mechanism integrating MSA and MEA.
3 months 前 | 6 次下载 |
