A Generative Model of Phonotactics by Futrell, Richard Landy Jones, Albright, Adam, Graff, Peter, O’Donnell, Timothy J.

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Rewriting a Deep Generative Model by Bau, D, Liu, S, Wang, T, Zhu, JY, Torralba, A

“…© 2020, Springer Nature Switzerland AG. A deep generative model such as a GAN learns to model a rich set of semantic and physical rules about the target distribution, but up to now, it has been obscure how such rules are encoded in the network, or how a rule could be changed. …”
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Software Library for Generative Model Applications by Hernandez, Carlos

“…In this thesis, we focus on building a software library to facilitate the workflow, evaluation, and analysis of generative models. Our work is primarily aimed at helping a specialty chemicals company use a state of the art molecule generation model for their specific applications. …”
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Listening with generative models by Cusimano, Maddie

“…This thesis extends classic traditions in perception by leveraging contemporary tools to build and apply rich generative models that describe what we hear. First, I present a hierarchical Bayesian auditory scene synthesis model to address the perceptual organization of sound into sources and events. …”
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Generative Modeling with Guarantees by Quach, Victor

“…Therefore, this thesis aims to develop techniques that balance guarantees and utility, focusing on improving the reliability of generative models while preserving their flexibility. …”
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Generative model for reciprocity and community detection in networks by Hadiseh Safdari, Martina Contisciani, Caterina De Bacco

“…We present a probabilistic generative model and efficient algorithm to model reciprocity in directed networks. …”
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A Generative Model for Correlated Graph Signals by Pavel Loskot

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VCNet: A generative model for volume completion by Jun Han, Chaoli Wang

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A generative model for activations in functional MRI by Sridharan, Ramesh

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Fine-tuning generative models by Khandelwal, Arjun(Arjun Sunil)

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Multimodal generative models for storytelling by Bensaid, Eden.

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On Physics-Inspired Generative Models by Xu, Yilun

“…Physics-inspired generative models such as diffusion models constitute a powerful family of generative models. …”
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Co-Clustering with Generative Models by Golland, Polina, Lashkari, Danial

“…In this paper, we present a generative model for co-clustering and develop algorithms based on the mean field approximation for the corresponding modeling problem. …”
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Generative models: theory and applications by Benton, J

“…<p>Given some samples from a data distribution, the central aim of generative modeling is to generate more samples from approximately the same distribution. …”

Generative models as distributions of functions by Dupont, E, Teh, YW, Doucet, A

“…Generative models are typically trained on grid-like data such as images. …”

A generative model of electrophysiological brain responses to stimulation by Diego Vidaurre

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Human Activity Recognition with an HMM-Based Generative Model by Narges Manouchehri, Nizar Bouguila

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A Bayesian Generative Model for Learning Semantic Hierarchies by Roni eMittelman, Min eSun, Benjamin eKuipers, Silvio eSavarese

“…In this work, we propose a new Bayesian generative model for learning such domain hierarchies, based on semantic input. …”
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Generalization of generative model for neuronal ensemble inference method by Shun Kimura, Koujin Takeda

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