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
제출됨
Latent Augmented Neural Ordinary Differential Equations
Latent augmented neural ordinary differential equation (LANODE) for data-driven modeling of dynamic systems.
대략 12시간 전 | 다운로드 수: 1 |
제출됨
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.
3일 전 | 다운로드 수: 1 |
문제를 풀었습니다
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...
3일 전
질문
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...
5일 전 | 답변 수: 2 | 0
2
답변제출됨
Wavelet-Structured Gated Recurrent Unit Layer
Customized Wavelet-Structured Gated Recurrent Unit (WSGRU) layer for multivariate time series analysis.
5일 전 | 다운로드 수: 0 |
답변 있음
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
5일 전 | 2
제출됨
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....
7일 전 | 다운로드 수: 0 |
답변 있음
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 ...
11일 전 | 0
질문
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 ...
12일 전 | 답변 수: 1 | 0
1
답변제출됨
Customized MambaBlock Layer Using Minimal Implementation
Minimal implementation of MambaBlock.
13일 전 | 다운로드 수: 2 |
제출됨
Flow Matching Example for Generative Modeling
FlowMatching (FW) model builds the probability path from source distribution to target distribution.
15일 전 | 다운로드 수: 4 |
문제를 풀었습니다
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 ...
18일 전
제출됨
Split Input Function Layer with Multi-Outputs
Split input with uniform block size along channel ("C") dimension based on functionLayer.
19일 전 | 다운로드 수: 1 |
제출됨
RBFKAN for Physics-Informed Machine Leaning
RBFKAN constructs its edge activation functions as a linear combination of radial basis functions.
20일 전 | 다운로드 수: 5 |
제출됨
Customized Linformer Attention Layer
Linformer: multi-head linear attention with low-rank temporal projection.
23일 전 | 다운로드 수: 1 |
제출됨
Gated Mamba Module based on Deep Learning Toolbox
Gated mamba module for multivariates time sequence deep learning.
25일 전 | 다운로드 수: 2 |
제출됨
Neural Dynamics Gradient Time Acceleration Optimizer
NDGTA optimizer guides parameters of neural networks toward flat minima during the training for generalization.
26일 전 | 다운로드 수: 2 |
제출됨
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 ...
28일 전 | 다운로드 수: 4 |
제출됨
Symbolic KANs for Interpretable Learning
Symbolic Kolmogorov-Arnold Networks (Symbolic-KANs) embeds symbolic structure directly within a trainable network.
대략 1개월 전 | 다운로드 수: 3 |
제출됨
Customized Spike Neuron Layers for Spiking Neural Networks
SpikeIFNeuronLayer and SpikeLIFNeuronLayer for constructing Spiking Neural Networks (SNNs).
대략 1개월 전 | 다운로드 수: 1 |
제출됨
Tensorized LSTM Network with Mixture Attention
Tensorized LSTM unit for multivariate time series (MTS) learning. Mixture Attention for variable attention and temproal attentio...
대략 1개월 전 | 다운로드 수: 8 |
질문
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...
대략 1개월 전 | 답변 수: 1 | 0
1
답변제출됨
Spiking Neural Network Example using Spiking LIF Layer
Customized Spiking LIF (Leaky-and-Firing) Layer without learnable parameters for constructing Spiking Neural Networks (SNNs).
대략 2개월 전 | 다운로드 수: 6 |
제출됨
Customized Invertible Attention Layer
Invertible Attention Layer (IAL) constructed based on Deep Learning Toolbox for conditional invertible neural networks (cINNs).
대략 2개월 전 | 다운로드 수: 2 |
질문
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...
대략 2개월 전 | 답변 수: 2 | 0
2
답변제출됨
Wavelet Kolmogorov-Arnold Layers
Wavelet Kolmogorov-Arnold Networks (Wav-KAN) framework for enhancing interpretability and performance.
대략 2개월 전 | 다운로드 수: 14 |
제출됨
Customized BiGRU Layer using Deep Learning Toolbox
BiGRU layer constructed based on Deep Learning Toolbox.
2개월 전 | 다운로드 수: 3 |
질문
How is the spectralConvolution1dLayer forward computation process performed
spectralConvolution1dLayer performs convolution on 1-D input using frequency domain transformations. The layer convolves the in...
2개월 전 | 답변 수: 1 | 0
1
답변문제를 풀었습니다
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...
3개월 전
제출됨
Multi Head Hybrid Adaptive Attention Mechanism
Multi-head hybrid adaptive attention (MHAA) mechanism integrating MSA and MEA.
3개월 전 | 다운로드 수: 6 |
