Summary of Defining and Extracting Generalizable Interaction Primitives From Dnns, by Lu Chen et al.
Defining and Extracting generalizable interaction primitives from DNNsby Lu Chen, Siyu Lou, Benhao Huang, Quanshi…
Defining and Extracting generalizable interaction primitives from DNNsby Lu Chen, Siyu Lou, Benhao Huang, Quanshi…
TQCompressor: improving tensor decomposition methods in neural networks via permutationsby V. Abronin, A. Naumov, D.…
TFDMNet: A Novel Network Structure Combines the Time Domain and Frequency Domain Featuresby Hengyue Pan,…
Deep Embedding Clustering Driven by Sample Stabilityby Zhanwen Cheng, Feijiang Li, Jieting Wang, Yuhua QianFirst…
Hyperedge Interaction-aware Hypergraph Neural Networkby Rongping Ye, Xiaobing Pei, Haoran Yang, Ruiqi WangFirst submitted to…
GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component Analysisby Florian HeinrichsFirst submitted…
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernelsby Zahra Babaiee, Peyman M. Kiasari,…
Precision Mars Entry Navigation with Atmospheric Density Adaptation via Neural Networksby Felipe Giraldo-Grueso, Andrey A.…
Novel application of Relief Algorithm in cascaded artificial neural network to predict wind speed for…
Accelerating Fractional PINNs using Operational Matrices of Derivativeby Tayebeh Taheri, Alireza Afzal Aghaei, Kourosh ParandFirst…