Výsledky vyhledávání - ML: Deep Generative Models & Autoencoder

Harnessing Generative Modeling and Autoencoders Against Adversarial Threats in Autonomous Vehicles Autor Raja, Kathiroli, Theerthagiri, Sudhakar, Swaminathan, Sriram Venkataraman, Suresh, Sivassri, Raja, Gunasekaran

“… To enable human behavior, Deep Learning (DL) and Machine Learning (ML) models are extensively used to make accurate decisions…”
Získat plný text

Information Theoretic Learning-Enhanced Dual-Generative Adversarial Networks With Causal Representation for Robust OOD Generalization Autor Zhou, Xiaokang, Zheng, Xuzhe, Shu, Tian, Liang, Wei, Wang, Kevin I-Kai, Qi, Lianyong, Shimizu, Shohei, Jin, Qun

“…) issue, in modern smart manufacturing or intelligent transportation systems (ITSs). In this study, we newly design and introduce a deep generative model framework, which seamlessly incorporates the information theoretic learning (ITL…”
Získat plný text

Lung image quality assessment and diagnosis using generative autoencoders in unsupervised ensemble learning Autor Rajasekar, Elakkiya, Chandra, Harshiv, Pears, Nick, Vairavasundaram, Subramaniyaswamy, Kotecha, Ketan

“…Proposed Architecture of Lung Image Diagnosis Using Generative Autoencoders in Unsupervised Ensemble Learning. [Display omitted] •Proposed GAME…”
Získat plný text

An investigation on machine learning predictive accuracy improvement and uncertainty reduction using VAE-based data augmentation Autor Alsafadi, Farah, Yaseen, Mahmoud, Wu, Xu

“… disciplines. One potential way to resolve the data scarcity issue is deep generative learning, which uses certain ML models to learn the underlying distribution of existing data and generate synthetic samples…”
Získat plný text

At the Dawn of Generative AI Era: A Tutorial-cum-Survey on New Frontiers in 6G Wireless Intelligence Autor Celik, Abdulkadir, Eltawil, Ahmed M.

“…-futuristic visions to life along with added technical intricacies. Although analytical models lay the foundations and offer systematic insights, we have recently witnessed a noticeable surge in research suggesting machine learning (ML…”
Získat plný text

Context-Aware Learning for Generative Models Autor Perdikis, Serafeim, Leeb, Robert, Chavarriaga, Ricardo, Millan, Jose del R.

“…This work studies the class of algorithms for learning with side-information that emerges by extending generative models with embedded context-related variables…”
Získat plný text

Deep Generative Models for Materials Discovery and Machine Learning-Accelerated Innovation Autor Fuhr, Addis S., Sumpter, Bobby G.

“… Recently, a relatively new branch of AI/ML, deep generative models (GMs), provide additional promise as they encode material structure and/or properties into a latent…”
Získat plný text

The emerging role of generative artificial intelligence in transplant medicine Autor Deeb, Maya, Gangadhar, Anirudh, Rabindranath, Madhumitha, Rao, Khyathi, Brudno, Michael, Sidhu, Aman, Wang, Bo, Bhat, Mamatha

“…Generative artificial intelligence (AI), a subset of machine learning that creates new content based on training data, has witnessed tremendous advances in recent years…”
Získat plný text

Deep generative learning for exploration in large electrochemical impedance dataset Autor Doonyapisut, Dulyawat, Kim, Byeongkyu, Kim, Jung Kyu, Lee, Eunseok, Chung, Chan-Hwa

Získat plný text

An evolutionary variational autoencoder for perovskite discovery Autor Chenebuah, Ericsson Tetteh, Nganbe, Michel, Tchagang, Alain Beaudelaire

“… Previous efforts for simulating the discovery of novel perovskites via ML have often been limited to straightforward tabular-dataset models and compositional phase-field representations…”
Získat plný text

Molecular Property Prediction and Molecular Design Using a Supervised Grammar Variational Autoencoder Autor Oliveira, André F, Da Silva, Juarez L F, Quiles, Marcos G

“… Here we unite these applications under a single molecular representation and ML algorithm by modifying the grammar variational autoencoder (GVAE…”
Zjistit podrobnosti o přístupu

Spatio-temporal deep learning models of 3D turbulence with physics informed diagnostics Autor Mohan, Arvind T., Tretiak, Dima, Chertkov, Misha, Livescu, Daniel

“… of freedom required to resolve all the dynamically significant spatio-temporal scales. Designing efficient and accurate Machine Learning (ML…”
Získat plný text

Enhancing biomechanical machine learning with limited data: generating realistic synthetic posture data using generative artificial intelligence Autor Dindorf, Carlo, Dully, Jonas, Konradi, Jürgen, Wolf, Claudia, Becker, Stephan, Simon, Steven, Huthwelker, Janine, Werthmann, Frederike, Kniepert, Johanna, Drees, Philipp, Betz, Ulrich, Fröhlich, Michael

“…Objective: Biomechanical Machine Learning (ML) models, particularly deep-learning models, demonstrate the best performance when trained using extensive datasets…”
Získat plný text

Mutated traffic detection and recovery: an adversarial generative deep learning approach Autor Salman, Ola, Elhajj, Imad H., Kayssi, Ayman, Chehab, Ali

“… In this paper, we propose a deep learning (DL) model to detect mutated traffic and recover the original one…”
Získat plný text

Classification of cervical cancer using Dense CapsNet with Seg-UNet and denoising autoencoders Autor Yang, Hui, Aydi, Walid, Innab, Nisreen, Ghoneim, Mohamed E., Ferrara, Massimiliano

“… Cervical cancer classification using machine learning (ML) and deep learning (DL) has been extensively studied to enhance the conventional diagnostic process…”
Získat plný text

A survey of machine learning techniques in structural and multidisciplinary optimization Autor Ramu, Palaniappan, Thananjayan, Pugazhenthi, Acar, Erdem, Bayrak, Gamze, Park, Jeong Woo, Lee, Ikjin

“…Machine Learning (ML) techniques have been used in an extensive range of applications in the field of structural and multidisciplinary optimization over the last few years…”
Získat plný text

Deep Learning-Enhanced Gap Filling in Drosophila Melanogaster Genomic Data Autor Sharma, Jivitesh, Jetschny, Stefan, Kapun, Martin, Belaid, Mohamed B

“…This study introduces deep learning (DL) methods for imputing missing allele-frequency information in large-scale genome-wide pooled re-sequencing (Pool-Seq…”
Získat plný text

A feature mapping technique for complex data object generation with likelihood and deep generative approaches Autor Muramudalige, Shashika R., Jayasumana, Anura P., Wang, Haonan

“…When a sufficient amount of training data is available, Machine Learning (ML) models show great promise for solving problems involving complex and dynamic patterns…”
Získat plný text

Imputation of Missing Values in Training Data using Variational Autoencoder Autor Hong, Xuerui, Hao, Shuang

“… The emergence of deep generative models also opens up new opportunities, especially for dealing with a particularly large number of missing values…”
Získat plný text

Analysis of AI-Based Single-View 3D Reconstruction Methods for an Industrial Application Autor Hartung, Julia, Dold, Patricia M., Jahn, Andreas, Heizmann, Michael

“…Machine learning (ML) is a key technology in smart manufacturing as it provides insights into complex processes without requiring deep domain expertise…”
Získat plný text