This paper proposes a novel hybrid model that synergistically integrates Variational Autoencoders (VAEs) and Speeded-Up Robust Features (SURF) to address these challenges. The VAE component captures ...

Zalger, “Application of variational autoencoders for aircraft turbomachinery design.” [5] H. Xu et al ... Kon, “On the average uncertainty for systems with nonlinear coupling,” Phys. A Stat. Mech. its ...

A technical paper titled “Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning ... strategy for improving ML-based device modeling using variational autoencoder ...

Based on the recorded system trajectory, the variational autoencoder is utilized to approximate the behavior ... As a specific type of adaptive dynamic programming algorithm, adaptive critic design ...

This repository provides code to accompany the paper: Greener JG, Moffat L and Jones DT, Design of metalloproteins and novel protein folds using variational autoencoders, Scientific Reports 8:16189, ...

Abstract: In this paper, we propose a Variational Bayesian Autoencoder (VBA)-based channel state information (CSI) compression and feedback scheme for massive multiple-input multiple-output (MIMO) ...

Here, we apply CASTELO, a combined machine learning-molecular dynamics (ML-MD) approach, to identify per-residue antigen binding contributions and then design ... variational autoencoder (CVAE) on MD ...

Here, we report a peptide generation framework, PepVAE, based around variational autoencoder (VAE ... activity prediction models supports this modular design framework as a promising system for ...