DGPose: Deep Generative Models for Human Body Analysis by de Bem, R, Ghosh, A, Ajanthan, T, Miksik, O, Boukhayma, A, Siddharth, N, Torr, P

“…Deep generative modelling for human body analysis is an emerging problem with many interesting applications. …”

Improving generative modelling in VAEs using Multimodal Prior by Abrol, V, Sharma, P, Patra, A

“…In this paper we propose a conditional generative modelling (CGM) approach for unsupervised disentangled representation learning using variational autoencoder (VAE). …”

Applications of time-series generative models and inference techniques by Teng, M

“…However, the use of generative models in these contexts has usually required a rigid set of linearity constraints or assumptions about the distributions used for modelling. …”

Object-centric generative models for robot perception and action by Wu, Y

“…In this thesis, we investigate the properties of this learned object-centric latent space and develop novel object-centric generative models (OCGMs) that can be applied to real-world robotics scenarios.…”

Trip generation model for Universiti Teknologi Malaysia, Skudai by Tey, Li Sian

Parking generation modelling of government hospitals in Peninsular Malaysia by Ali, Abdul Razak

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An instructional sequence for teaching reading derived from the generative model of learning / [mikrofilem] by 382385 Linden, Michele Ann

Correction: A Generative Model for Measuring Latent Timing Structure in Motor Sequences

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AN EFFICIENT SPEECH GENERATIVE MODEL BASED ON DETERMINISTIC/STOCHASTIC SEPARATION OF SPECTRAL ENVELOPES by M. Taha, E. S. Azarov, D. S. Likhachov, A. A. Petrovsky

Subjects: “…speech generative model…”
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Anomaly detection in aeronautics data with quantum-compatible discrete deep generative model by Thomas Templin, Milad Memarzadeh, Walter Vinci, P Aaron Lott, Ata Akbari Asanjan, Anthony Alexiades Armenakas, Eleanor Rieffel

Subjects: “…generative modeling…”
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Discovering highly potent antimicrobial peptides with deep generative model HydrAMP by Paulina Szymczak, Marcin Możejko, Tomasz Grzegorzek, Radosław Jurczak, Marta Bauer, Damian Neubauer, Karol Sikora, Michał Michalski, Jacek Sroka, Piotr Setny, Wojciech Kamysz, Ewa Szczurek

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A deep learning generative model approach for image synthesis of plant leaves. by Alessandro Benfenati, Davide Bolzi, Paola Causin, Roberto Oberti

“…<h4>Methods</h4>Following an approach based on DL generative models, we introduce a Leaf-to-Leaf Translation (L2L) algorithm, able to produce collections of novel synthetic images in two steps: first, a residual variational autoencoder architecture is used to generate novel synthetic leaf skeletons geometry, starting from binarized skeletons obtained from real leaf images. …”
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Time-Elastic Generative Model for Acceleration Time Series in Human Activity Recognition by Mario Munoz-Organero, Ramona Ruiz-Blazquez

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Molecular Generative Model via Retrosynthetically Prepared Chemical Building Block Assembly by Seonghwan Seo, Jaechang Lim, Woo Youn Kim

Subjects: “…deep generative model…”
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Multilayer Perceptron Generative Model via Adversarial Learning for Robust Visual Tracking by Eman R. AlBasiouny, Abdel-Fattah Attia Heliel, Hossam E. Abdelmunim, Hazem M. Abbas

“…Inspired by visual tracking via adversarial learning (VITAL), we present a novel network to generate randomly initialized masks for building augmented feature maps using multilayer perceptron (MLP) generative models. To obtain more robust tracking these augmented masks can extract robust features that do not change over a long temporal span. …”
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Deep generative model super-resolves spatially correlated multiregional climate data by Norihiro Oyama, Noriko N. Ishizaki, Satoshi Koide, Hiroaki Yoshida

“…Additionally, we present the outcomes of another variant of the deep generative model-based downscaling approach in which the low-resolution precipitation field is substituted with the pressure field, referred to as $$\psi$$ ψ SRGAN (Precipitation Source Inaccessible SRGAN). …”
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A Generative Model for Topic Discovery and Polysemy Embeddings on Directed Attributed Networks by Bianfang Chai, Xinyu Ji, Jianglin Guo, Lixiao Ma, Yibo Zheng

“…This paper proposes a generative model, the skip-gram topical word-embedding model (simplified as steoLC) on asymmetric document link networks, where nodes correspond to documents and links refer to directed references between documents. …”
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HT-Fed-GAN: Federated Generative Model for Decentralized Tabular Data Synthesis by Shaoming Duan, Chuanyi Liu, Peiyi Han, Xiaopeng Jin, Xinyi Zhang, Tianyu He, Hezhong Pan, Xiayu Xiang

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GENERALIST: A latent space based generative model for protein sequence families. by Hoda Akl, Brooke Emison, Xiaochuan Zhao, Arup Mondal, Alberto Perez, Purushottam D Dixit

“…Generative models of protein sequence families are an important tool in the repertoire of protein scientists and engineers alike. …”
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HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps by Mi, Lu, Zhao, Hang, Nash, Charlie, Jin, Xiaohan, Gao, Jiyang, Sun, Chen, Schmid, Cordelia, Shavit, Nir, Chai, Yuning, Anguelov, Dragomir

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