Compensating CBCT Motion Artifacts with Any 2D Generative Model by Yipeng Sun, Linda-Sophie Schneider, Mingxuan Gu, Siyuan Mei, Siming Bayer, Andreas K. Maier

“…Leveraging two-dimensional (2D) generative models while ensuring consistency between adjacent CBCT slices, our method addresses the limitations of traditional deep learning approaches that process each 2D slice of a three-dimensional (3D) volume independently. …”
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Deep generative modeling of annotated bacterial biofilm images by Angelina A. Holicheva, Konstantin S. Kozlov, Daniil A. Boiko, Maxim S. Kamanin, Daria V. Provotorova, Nikita I. Kolomoets, Valentine P. Ananikov

“…This study introduces a versatile approach for creating synthetic datasets of annotated biofilm images with employing deep generative modeling techniques, including VAEs, GANs, diffusion models, and CycleGAN. …”
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A generative model for evaluating missing data methods in large epidemiological cohorts by Lav Radosavljević, Stephen M. Smith, Thomas E. Nichols

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Investigating the intrinsic top-down dynamics of deep generative models by Lorenzo Tausani, Alberto Testolin, Marco Zorzi

“…Abstract Hierarchical generative models can produce data samples based on the statistical structure of their training distribution. …”
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Multiple Attractors and Nonlinear Dynamics in an Overlapping Generations Model with Environment by Ahmad Naimzada, Mauro Sodini

“…This paper develops a one-sector productive overlapping generations model with environment where a CES technology is assumed. …”
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Discovery of new topological insulators and semimetals using deep generative models by Tao Hong, Taikang Chen, Dalong Jin, Yu Zhu, Heng Gao, Kun Zhao, Tongyi Zhang, Wei Ren, Guixin Cao

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Traditional Chinese Medicine Prescription Generation Model Based on Search Enhancement by ZHAO Zijuan, REN Xueting, SONG Kai, QIANG Yan, ZHAO Juanjuan, ZHANG Junlong

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Forecast generation model of municipal solid waste using multiple linear regression by J.A. Araiza-Aguilar, M.N. Rojas-Valencia, R.A. Aguilar-Vera

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Inverse design of promising electrocatalysts for CO2 reduction via generative models and bird swarm algorithm by Zhilong Song, Linfeng Fan, Shuaihua Lu, Chongyi Ling, Qionghua Zhou, Jinlan Wang

“…Abstract Directly generating material structures with optimal properties is a long-standing goal in material design. Traditional generative models often struggle to efficiently explore the global chemical space, limiting their utility to localized space. …”
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Spatial Object Tracking Using an Enhanced Mean Shift Method Based on Perceptual Spatial-Space Generation Model by Pengcheng Han, Junping Du, Ming Fang

“…In this paper, we present an intelligent modeling method using an enhanced mean shift method based on a perceptual spatial-space generation model. We use a series of basic and composite graphic operators to complete signal perceptual transformation. …”
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CaloQVAE: Simulating high-energy particle-calorimeter interactions using hybrid quantum-classical generative models by Sehmimul Hoque, Hao Jia, Abhishek Abhishek, Mojde Fadaie, J. Quetzalcoatl Toledo-Marín, Tiago Vale, Roger G. Melko, Maximilian Swiatlowski, Wojciech T. Fedorko

“…We introduce a technique combining recent advancements in generative models and quantum annealing for fast and efficient simulation of high-energy particle-calorimeter interactions.…”
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A Patch-Level Data Synthesis Pipeline Enhances Species-Level Crop and Weed Segmentation in Natural Agricultural Scenes by Tang Li, James Burridge, Pieter M. Blok, Wei Guo

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Screening of multi deep learning-based de novo molecular generation models and their application for specific target molecular generation by Yishu Wang, Mengyao Guo, Xiaomin Chen, Dongmei Ai

“…In this study, we modified one top-performing molecular generation model on the basis of the generative pretraining transformer (GPT) architecture in three directions. …”
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Frontal Face Generation Based on Attitude Point Guidance and Attention Mechanism Improvement by Jihui Zhao, Zhengyi Yuan, Junhu Zhang, Haitao Li, Hui Li

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Designing host-associated microbiomes using the consumer/resource model by Germán Plata, Karthik Srinivasan, Madan Krishnamurthy, Lukas Herron, Purushottam Dixit

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Individualized models of social judgments and context-dependent representations by Daniel N. Albohn, Stefan Uddenberg, Alexander Todorov

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Conditional diffusion-generated super-resolution for myocardial perfusion MRI by Changyu Sun, Changyu Sun, Neha Goyal, Yu Wang, Darla L. Tharp, Senthil Kumar, Talissa A. Altes

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Hackathon as a testing ground for creating digital tools in domestic Oriental studies by Kudakaev R.F., Mokretskiy A.Ch., Kostyrkin A.V.

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Deep Learning for Traffic Scene Understanding: A Review by Parya Dolatyabi, Jacob Regan, Mahdi Khodayar

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Into the latent space of capacitive sensors: interpolation and synthetic data generation using variational autoencoders by Miguel Monteagudo Honrubia, Francisco Javier Herraiz-Martínez, Javier Matanza Domingo

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