Generalization of generative model for neuronal ensemble inference method by Shun Kimura, Koujin Takeda

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3D Conformational Generative Models for Biological Structures Using Graph Information-Embedded Relative Coordinates by Mingyuan Xu, Weifeng Huang, Min Xu, Jinping Lei, Hongming Chen

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Upmix B-Format Ambisonic Room Impulse Responses Using a Generative Model by Jiawei Xia, Wen Zhang

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Wind energy generation : modelling and control / by Anaya-Lara, Olimpo

Generative models as computational assays for psychiatry by S. Frässle

“…Such computational assays are often based on generative models, which describe how measured data may be caused by a particular mechanism. …”
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Face Inpainting with Deep Generative Models by Zhenping Qiang, Libo He, Qinghui Zhang, Junqiu Li

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VEHICLE OWNERSHIP AND TRIP GENERATION MODELLING by Pattarathep SILLAPARCHARN

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On generative models as the basis for digital twins by George Tsialiamanis, David J. Wagg, Nikolaos Dervilis, Keith Worden

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Generative Modeling of InSAR Interferograms by Rongier, Guillaume, Rude, Cody, Herring, Thomas A., Pankratius, Victor

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The Synthesizability of Molecules Proposed by Generative Models by Gao, Wenhao, Coley, Connor W

“…To highlight the severity of this issue, we use a data-driven computer-aided synthesis planning program to quantify how often molecules proposed by state-of-the-art generative models cannot be readily synthesized. Our analysis demonstrates that there are several tasks for which these models generate unrealistic molecular structures despite performing well on popular quantitative benchmarks. …”
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The Synthesizability of Molecules Proposed by Generative Models by Gao, Wenhao, Coley, Connor W.

“…To highlight the severity of this issue, we use a data-driven computer-aided synthesis planning program to quantify how often molecules proposed by state-of-the-art generative models cannot be readily synthesized. Our analysis demonstrates that there are several tasks for which these models generate unrealistic molecular structures despite performing well on popular quantitative benchmarks. …”
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Generative Models for Automatic Chemical Design by Schwalbe-Koda, D, Gómez-Bombarelli, R

“…In this chapter, we examine the way in which current deep generative models are addressing the inverse chemical discovery paradigm. …”
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Generative Models for Automatic Chemical Design by Schwalbe-Koda, Daniel, Gómez-Bombarelli, Rafael

“…In this chapter, we examine the way in which current deep generative models are addressing the inverse chemical discovery paradigm. …”
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Deep generative models for peptide design by Wan, Fangping, Kontogiorgos-Heintz, Daphne, de la Fuente-Nunez, Cesar

“…<jats:p>We present a review of deep generative models and their applications in peptide design.…”
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Generative Models for Domain-Specific Summarization by Queipo, Laura

“…This project evaluates the performance of generative models of summarization in aviation safety domain. …”
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Intertemporal separability in overlapping generations models by Kehoe, Timothy Jerome, Levine, David K.

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Generative modeling of dynamic visual scenes by Lin, Dahua, Ph. D. Massachusetts Institute of Technology

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Generative models for robotic arm motion by Xu, Wenjie

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Generative models for speech emotion synthesis by Raj, Nathanael S.

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Riemannian score-based generative modelling by De Bortoli, V, Mathieu, E, Hutchinson, M, Thornton, J, Teh, YW, Doucet, A

“…Score-based generative models (SGMs) are a powerful class of generative models that exhibit remarkable empirical performance.Score-based generative modelling (SGM) consists of a noising'' stage, whereby a diffusion is used to gradually add Gaussian noise to data, and a generative model, which entails adenoising'' process defined by approximating the time-reversal of the diffusion. …”