Deep learning creates virtual multiplexed immunostaining to improve cancer diagnosis

Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...
IEEE

GTAE-IDS: Graph Transformer-Based Autoencoder Framework for Real-Time Network Intrusion Detection

Abstract: Network intrusion detection systems (NIDS) utilize signature and anomaly-based methods to detect malicious activities within networks. Advances in machine learning (ML) and deep learning (DL ...
IEEE

Mutli-Level Autoencoder: Deep Learning Based Channel Coding and Modulation

Abstract: In this paper, we design a deep learning-based convolutional autoencoder for channel coding and modulation. The objective is to develop an adaptive scheme capable of operating at various ...
GitHub

TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling" (ICLR 2025)

This is the official repository of the paper "TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling". It consists of two parts: One dot represents a performance score on one ...
GitHub

SVG: Latent Diffusion Model without Variational Autoencoder

SVG Autoencoder - Uses a frozen representation encoder with a residual branch to compensate the information loss and a learned convolutional decoder to transfer the SVG latent space to pixel space.