WBC image classification and generative models based on convolutional neural network by Changhun Jung, Mohammed Abuhamad, David Mohaisen, Kyungja Han, DaeHun Nyang

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Simulating Social Security Flow of Funds Based on an Overlapping Generation Model by Hossein Tavakolian, Mehdi Sarem, Javad Taherpoor, Mahnoosh Abdollah Milani

Subjects: “…overlapping generation model…”
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An Attack Simulation and Evidence Chains Generation Model for Critical Information Infrastructures by Eleni-Maria Kalogeraki, Spyridon Papastergiou, Themis Panayiotopoulos

“…This paper proposes an attack simulation and evidence chains generation model which computes all possible attack paths associated with specific, confirmed security events. …”
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Deep Generative Models for Automated Dehazing Remote Sensing Satellite Images by Poornima E., Mohit Suryadevara, Cheresh Reddy Kunduru, Hemchandra Vallepu, Chandramauli Awadhesh, Kondal Rao Peram

“…By using generative models, images can be dehazed without information loss, supporting the paper’s objective. …”
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Simulation-based inference for efficient identification of generative models in computational connectomics. by Jan Boelts, Philipp Harth, Richard Gao, Daniel Udvary, Felipe Yáñez, Daniel Baum, Hans-Christian Hege, Marcel Oberlaender, Jakob H Macke

“…A common approach is to simulate neuronal networks using a hypothesized wiring rule in a generative model and to compare the resulting synthetic data with empirical data. …”
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From Beginning to BEGANing: Role of Adversarial Learning in Reshaping Generative Models by Aradhita Bhandari, Balakrushna Tripathy, Amit Adate, Rishabh Saxena, Thippa Reddy Gadekallu

“…Deep generative models, such as deep Boltzmann machines, focused on models that provided parametric specification of probability distribution functions. …”
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F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits by Chiara Leadbeater, Louis Sharrock, Brian Coyle, Marcello Benedetti

Subjects: “…generative modelling…”
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A framework to evaluate and compare synthetic streamflow scenario generation models by Felipe Treistman, Débora Dias Jardim Penna, Lucas de Souza Khenayfis, Nelson Bernardo Rodrigues Cavalcante, Francisco de Assis de Souza Filho, Renan Vieira Rocha, Ályson Brayner Estácio, Larissa Zaira Rafael Rolim, João Dehon de Araújo Pontes Filho, Victor Costa Porto, Sullyandro Oliveira Guimarães, José Francisco Moreira Pessanha, Victor Andrade de Almeida, Priscilla Dafne Shu Chan, Thiago Lappicy, Carlos Henrique Ribeiro Lima, Daniel Henrique Marco Detzel, Marcelo Rodrigues Bessa

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The fast algorithm for computing all steady states in overlapping generations models by Alexey Zaytsev

“…In this paper we researchoverlapping generations models, hereinafter OLG. In these models, thephenomenon of the multiplicity of long-term equilibrium may arise. …”
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A Review of Generative Models in Generating Synthetic Attack Data for Cybersecurity by Garima Agrawal, Amardeep Kaur, Sowmya Myneni

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Data-driven discovery of 2D materials by deep generative models by Peder Lyngby, Kristian Sommer Thygesen

“…We find that the generative model and lattice decoration approach are complementary and yield materials with similar stability properties but very different crystal structures and chemical compositions. …”
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A novel defect generation model based on two-stage GAN by Zhang Yuming, Gao Zhongyuan, Zhi Chao, Chen Mengqi, Zhou Youyong, Wang Shuai, Fu Sida, Yu Lingjie

“…To evaluate the effectiveness of the defect generation model, extensive comparative experiments were conducted to assess the performance of the fabric defect detection before and after data enhancement. …”
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Deep Generative Models-Based Anomaly Detection for Spacecraft Control Systems by Hyojung Ahn, Dawoon Jung, Han-Lim Choi

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Learning to draw vector graphics : applying generative modeling to font glyphs by Zhong, Kimberli

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Missing data imputation in a clinical registry with deep generative models by Dai, Wangzhi(Scientist in electrical engineering and computer science)Massachusetts Institute of Technology.

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Automated patent extraction powers generative modeling in focused chemical spaces by Subramanian, Akshay, P. Greenman, Kevin, Gervaix, Alexis, Yang, Tzuhsiung, Gómez-Bombarelli, Rafael

“…Deep generative models have emerged as an exciting avenue for inverse molecular design, with progress coming from the interplay between training algorithms and molecular representations. …”
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Variational mixture-of-experts autoencoders for multi-modal deep generative models by Shi, Y, Siddharth, N, Paige, B, Torr, P

A framework for the construction of generative models for mesoscale structure in multilayer networks by Bazzi, M, Jeub, LGS, Arenas, A, Howison, SD, Porter, MA

“…In this paper, we introduce a framework for the construction of generative models for mesoscale structures in multilayer networks. …”

Finding an unsupervised image segmenter in each of your deep generative models by Melas-Kyriazi, L, Rupprecht, C, Laina, I, Vedaldi, A

“…Broadly, our results demonstrate that automatically extracting foreground-background structure from pretrained deep generative models can serve as a remarkably effective substitute for human supervision.…”

Generative modelling: addressing open problems in model misspecification and differential privacy by Ghalebikesabi, S

“…<p>Generative modelling has become a popular application of artificial intelligence. …”