Summary of Deep Neural Networks Via Complex Network Theory: a Perspective, by Emanuele La Malfa et al.
Deep Neural Networks via Complex Network Theory: a Perspectiveby Emanuele La Malfa, Gabriele La Malfa,…
Deep Neural Networks via Complex Network Theory: a Perspectiveby Emanuele La Malfa, Gabriele La Malfa,…
Assessing The Impact of CNN Auto Encoder-Based Image Denoising on Image Classification Tasksby Mohsen Hami,…
Anomaly Correction of Business Processes Using Transformer Autoencoderby Ziyou Gong, Xianwen Fang, Ping WuFirst submitted…
Tripod: Three Complementary Inductive Biases for Disentangled Representation Learningby Kyle Hsu, Jubayer Ibn Hamid, Kaylee…
ReffAKD: Resource-efficient Autoencoder-based Knowledge Distillationby Divyang Doshi, Jung-Eun KimFirst submitted to arxiv on: 15 Apr…
Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformersby Doron Haviv, Russell Zhang Kunes, Thomas Dougherty,…
scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph Embeddingby Ping Xu,…
A Real-time Anomaly Detection Using Convolutional Autoencoder with Dynamic Thresholdby Sarit Maitra, Sukanya Kundu, Aishwarya…
DeepLINK-T: deep learning inference for time series data using knockoffs and LSTMby Wenxuan Zuo, Zifan…
Generative-Enhanced Heterogeneous Graph Contrastive Learningby Yu Wang, Lei Sang, Yi Zhang, Yiwen ZhangFirst submitted to…