GitHub

MACHINE LEARNING FOR QUANTUM NOISE REDUCTION USING DENSITY MATRIX

Quantum computation has the potential for exponential speedup of classical systems in some applications, such as cryptography, simulation of molecular behavior, and optimization. Nevertheless, quantum ...
GitHub

Paper Reproduction: Demonstrating the Superiority of QBM-VAE( VS VAE)

Replace the VAE algorithm in the paper《Design of diverse, functional mitochondrial targeting sequences across eukaryotic organisms using variational autoencoder》with the QBM-VAE algorithm, ...
C&EN

High-Throughput Molecular Design of Donors and Non-Fullerene Acceptors for Organic Solar Cells Based on Convolutional Neural Networks

Department of Applied Physics, Lanzhou University of Technology, Lanzhou, Gansu 730050, China College of Physics and Electronic Engineering, Northwest Normal University, Lanzhou, Gansu 730070, China ...
IEEE

Conv4Rec: A 1-by-1 Convolutional Autoencoder for User Profiling Through Joint Analysis of Implicit and Explicit Feedback

Abstract: We introduce a new convolutional autoencoder architecture for user modeling and recommendation tasks with several improvements over the state of the art. First, our model has the flexibility ...
IEEE

Hybrid Attention-Enhanced Regularized Convolutional Autoencoder for Robust EEG Feature Extraction in Seizure Prediction

Abstract: Electroencephalography (EEG)-based seizure prediction has garnered significant attention in epilepsy management, with deep learning methods enhancing prediction performance. However, ...