Einloggen

Thematische Bibliographien / Deep generative modeling / Dissertationen

Um die anderen Arten von Veröffentlichungen zu diesem Thema anzuzeigen, folgen Sie diesem Link: Deep generative modeling.

Dissertationen zum Thema „Deep generative modeling“

Autor: Grafiati

Veröffentlicht am 22. Juni 2024

Zuletzt aktualisiert am 31. Juli 2025

Geben Sie eine Quelle nach APA, MLA, Chicago, Harvard und anderen Zitierweisen an

Wählen Sie eine Art der Quelle aus:

Machen Sie sich mit Top-34 Dissertationen für die Forschung zum Thema "Deep generative modeling" bekannt.

Neben jedem Werk im Literaturverzeichnis ist die Option "Zur Bibliographie hinzufügen" verfügbar. Nutzen Sie sie, wird Ihre bibliographische Angabe des gewählten Werkes nach der nötigen Zitierweise (APA, MLA, Harvard, Chicago, Vancouver usw.) automatisch gestaltet.

Sie können auch den vollen Text der wissenschaftlichen Publikation im PDF-Format herunterladen und eine Online-Annotation der Arbeit lesen, wenn die relevanten Parameter in den Metadaten verfügbar sind.

Sehen Sie die Dissertationen für verschiedene Spezialgebieten durch und erstellen Sie Ihre Bibliographie auf korrekte Weise.

1

Skalic, Miha 1990. "Deep learning for drug design : modeling molecular shapes." Doctoral thesis, Universitat Pompeu Fabra, 2019. http://hdl.handle.net/10803/667503.

Der volle Inhalt der Quelle

Annotation:

Designing novel drugs is a complex process which requires finding molecules in a vast chemical space that bind to a specific biomolecular target and have favorable physio-chemical properties. Machine learning methods can leverage previous data and use it for new predictions helping the processes of selection of molecule candidate without relying exclusively on experiments. Particularly, deep learning can be applied to extract complex patterns from simple representations. In this work we leverage deep learning to extract patterns from three-dimensional representations of molecules. We apply cl

APA, Harvard, Vancouver, ISO und andere Zitierweisen

2

Chen, Tian Qi. "Deep kernel mean embeddings for generative modeling and feedforward style transfer." Thesis, University of British Columbia, 2017. http://hdl.handle.net/2429/62668.

Der volle Inhalt der Quelle

Annotation:

The generation of data has traditionally been specified using hand-crafted algorithms. However, oftentimes the exact generative process is unknown while only a limited number of samples are observed. One such case is generating images that look visually similar to an exemplar image or as if coming from a distribution of images. We look into learning the generating process by constructing a similarity function that measures how close the generated image is to the target image. We discuss a framework in which the similarity function is specified by a pre-trained neural network without fi

APA, Harvard, Vancouver, ISO und andere Zitierweisen

3

Brodie, Michael B. "Methods for Generative Adversarial Output Enhancement." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8763.

Der volle Inhalt der Quelle

Annotation:

Generative Adversarial Networks (GAN) learn to synthesize novel samples for a given data distribution. While GANs can train on diverse data of various modalities, the most successful use cases to date apply GANs to computer vision tasks. Despite significant advances in training algorithms and network architectures, GANs still struggle to consistently generate high-quality outputs after training. We present a series of papers that improve GAN output inference qualitatively and quantitatively. The first chapter, Alpha Model Domination, addresses a related subfield of Multiple Choice Learning, wh

APA, Harvard, Vancouver, ISO und andere Zitierweisen

4

Testolin, Alberto. "Modeling cognition with generative neural networks: The case of orthographic processing." Doctoral thesis, Università degli studi di Padova, 2015. http://hdl.handle.net/11577/3424619.

Der volle Inhalt der Quelle

Annotation:

This thesis investigates the potential of generative neural networks to model cognitive processes. In contrast to many popular connectionist models, the computational framework adopted in this research work emphasizes the generative nature of cognition, suggesting that one of the primary goals of cognitive systems is to learn an internal model of the surrounding environment that can be used to infer causes and make predictions about the upcoming sensory information. In particular, we consider a powerful class of recurrent neural networks that learn probabilistic generative models from experien

APA, Harvard, Vancouver, ISO und andere Zitierweisen

5

Yan, Guowei. "Interactive Modeling of Elastic Materials and Splashing Liquids." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1593098802306904.

Der volle Inhalt der Quelle

APA, Harvard, Vancouver, ISO und andere Zitierweisen

6

Sadok, Samir. "Audiovisual speech representation learning applied to emotion recognition." Electronic Thesis or Diss., CentraleSupélec, 2024. http://www.theses.fr/2024CSUP0003.

Der volle Inhalt der Quelle

Annotation:

Les émotions sont vitales dans notre quotidien, devenant un centre d'intérêt majeur de la recherche en cours. La reconnaissance automatique des émotions a suscité beaucoup d'attention en raison de ses applications étendues dans des secteurs tels que la santé, l'éducation, le divertissement et le marketing. Ce progrès dans la reconnaissance émotionnelle est essentiel pour favoriser le développement de l'intelligence artificielle centrée sur l'humain. Les systèmes de reconnaissance des émotions supervisés se sont considérablement améliorés par rapport aux approches traditionnelles d’apprentissag

APA, Harvard, Vancouver, ISO und andere Zitierweisen

7

Luc, Pauline. "Apprentissage autosupervisé de modèles prédictifs de segmentation à partir de vidéos." Thesis, Université Grenoble Alpes (ComUE), 2019. http://www.theses.fr/2019GREAM024/document.

Der volle Inhalt der Quelle

Annotation:

Les modèles prédictifs ont le potentiel de permettre le transfert des succès récents en apprentissage par renforcement à de nombreuses tâches du monde réel, en diminuant le nombre d’interactions nécessaires avec l’environnement.La tâche de prédiction vidéo a attiré un intérêt croissant de la part de la communauté ces dernières années, en tant que cas particulier d’apprentissage prédictif dont les applications en robotique et dans les systèmes de navigations sont vastes.Tandis que les trames RGB sont faciles à obtenir et contiennent beaucoup d’information, elles sont extrêmement difficile à pré

APA, Harvard, Vancouver, ISO und andere Zitierweisen

8

Ionascu, Beatrice. "Modelling user interaction at scale with deep generative methods." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-239333.

Der volle Inhalt der Quelle

Annotation:

Understanding how users interact with a company's service is essential for data-driven businesses that want to better cater to their users and improve their offering. By using a generative machine learning approach it is possible to model user behaviour and generate new data to simulate or recognize and explain typical usage patterns. In this work we introduce an approach for modelling users' interaction behaviour at scale in a client-service model. We propose a novel representation of multivariate time-series data as time pictures that express temporal correlations through spatial organizatio

APA, Harvard, Vancouver, ISO und andere Zitierweisen

9

McClintick, Kyle W. "Training Data Generation Framework For Machine-Learning Based Classifiers." Digital WPI, 2018. https://digitalcommons.wpi.edu/etd-theses/1276.

Der volle Inhalt der Quelle

Annotation:

In this thesis, we propose a new framework for the generation of training data for machine learning techniques used for classification in communications applications. Machine learning-based signal classifiers do not generalize well when training data does not describe the underlying probability distribution of real signals. The simplest way to accomplish statistical similarity between training and testing data is to synthesize training data passed through a permutation of plausible forms of noise. To accomplish this, a framework is proposed that implements arbitrary channel conditions and base

APA, Harvard, Vancouver, ISO und andere Zitierweisen

10

Fang, Zhufeng. "USING GEOSTATISTICS, PEDOTRANSFER FUNCTIONS TO GENERATE 3D SOIL AND HYDRAULIC PROPERTY DISTRIBUTIONS FOR DEEP VADOSE ZONE FLOW SIMULATIONS." Thesis, The University of Arizona, 2009. http://hdl.handle.net/10150/193439.

Der volle Inhalt der Quelle

Annotation:

We use geostatistical and pedotrasnfer functions to estimate the three-dimensional distributions of soil types and hydraulic properties in a relatively large volume of vadose zone underlying the Maricopa Agriculture Center near Phoenix, Arizona. Soil texture and bulk density data from the site are analyzed geostatistically to reveal the underlying stratigraphy as well as finer features of their three-dimensional variability in space. Such fine features are revealed by cokriging soil texture and water content measured prior to large-scale long-term infiltration experiments. Resultant estimates

APA, Harvard, Vancouver, ISO und andere Zitierweisen

11

Marin-Moreno, Hector. "Numerical modelling of overpressure generation in deep basins and response of Arctic gas hydrate to ocean warming." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/364170/.

Der volle Inhalt der Quelle

Annotation:

This thesis is split into the two scientific topics studied; overpressure development in deep basins and present-day and future gas hydrate dissociation in the Arctic. Locating and quantifying overpressure is essential to understand basin evolution and hydrocarbon migration in deep basins and thickly sedimented continental margins. The first part of this thesis develops two new methods, including an inverse model, to impose seismic and geological constraints on models of overpressure generated by the disequilibrium compaction and aquathermal expansion mechanisms. The results provide greater un

APA, Harvard, Vancouver, ISO und andere Zitierweisen

12

He, Sheng. "Thermal History and Deep Overpressure Modelling in the Northern Carnarvon Basin, North West Shelf, Australia." Thesis, Curtin University, 2002. http://hdl.handle.net/20.500.11937/1292.

Der volle Inhalt der Quelle

Annotation:

The Northern Carnarvon Basin is the richest petroleum province in Australia. About 50 gas/condensate and oil fields, associated mainly with Jurassic source rocks, have been discovered in the sub-basins and on the Rankin Platform since 1964. The basin is located at the southern end of the North West Shelf of Australia. It can be mainly subdivided into the Exmouth, Barrow, Dampier and Beagle Sub-basins, the Rankin Platform and Exmouth Plateau. The sub-basins are rift-related grabens and half-grabens developed during the Jurassic to the earliest Cretaceous and contain over 10 kilometres of Mesozo

APA, Harvard, Vancouver, ISO und andere Zitierweisen

13

Buys, Jan Moolman. "Incremental generative models for syntactic and semantic natural language processing." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:a9a7b5cf-3bb1-4e08-b109-de06bf387d1d.

Der volle Inhalt der Quelle

Annotation:

This thesis investigates the role of linguistically-motivated generative models of syntax and semantic structure in natural language processing (NLP). Syntactic well-formedness is crucial in language generation, but most statistical models do not account for the hierarchical structure of sentences. Many applications exhibiting natural language understanding rely on structured semantic representations to enable querying, inference and reasoning. Yet most semantic parsers produce domain-specific or inadequately expressive representations. We propose a series of generative transition-based models

APA, Harvard, Vancouver, ISO und andere Zitierweisen

14

He, Sheng. "Thermal History and Deep Overpressure Modelling in the Northern Carnarvon Basin, North West Shelf, Australia." Curtin University of Technology, Department of Applied Geology, 2002. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=11998.

Der volle Inhalt der Quelle

Annotation:

The Northern Carnarvon Basin is the richest petroleum province in Australia. About 50 gas/condensate and oil fields, associated mainly with Jurassic source rocks, have been discovered in the sub-basins and on the Rankin Platform since 1964. The basin is located at the southern end of the North West Shelf of Australia. It can be mainly subdivided into the Exmouth, Barrow, Dampier and Beagle Sub-basins, the Rankin Platform and Exmouth Plateau. The sub-basins are rift-related grabens and half-grabens developed during the Jurassic to the earliest Cretaceous and contain over 10 kilometres of Mesozo

APA, Harvard, Vancouver, ISO und andere Zitierweisen

15

Martin, Alice. "Deep learning models and algorithms for sequential data problems : applications to language modelling and uncertainty quantification." Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAS007.

Der volle Inhalt der Quelle

Annotation:

Dans ce manuscrit de thèse, nous développons de nouveaux algorithmes et modèles pour résoudre les problèmes d'apprentissage profond sur de la donnée séquentielle, en partant des problématiques posées par l'apprentissage des modèles de langage basés sur des réseaux de neurones. Un premier axe de recherche développe de nouveaux modèles génératifs profonds basés sur des méthodes de Monte Carlo Séquentielles (SMC), qui permettent de mieux modéliser la diversité du langage, ou de mieux quantifier l'incertitude pour des problèmes de régression séquentiels. Un deuxième axe de recherche vise à facilit

APA, Harvard, Vancouver, ISO und andere Zitierweisen

16

Devineau, Guillaume. "Deep learning for multivariate time series : from vehicle control to gesture recognition and generation." Thesis, Université Paris sciences et lettres, 2020. http://www.theses.fr/2020UPSLM037.

Der volle Inhalt der Quelle

Annotation:

L'apprentissage profond est une branche du domaine de l'intelligence artificielle qui vise à doter les machines de la capacité d'apprendre par elles-mêmes à réaliser des tâches précises. L'apprentissage profond a abouti à des développements spectaculaires dans le domaine de l'image et du langage naturel au cours des dernières années. Pourtant, dans de nombreux domaines, les données d'observations ne sont ni des images ni du texte mais des séries temporelles qui représentent l'évolution de grandeurs mesurées ou calculées. Dans cette thèse, nous étudions et proposons différentes représentations

APA, Harvard, Vancouver, ISO und andere Zitierweisen

17

Dib, Abdelkader. "Estimation of instantaneous pollutant emissions from road transportation through coupling mesoscopic traffic modeling and speed profile generation." Electronic Thesis or Diss., université Paris-Saclay, 2025. http://www.theses.fr/2025UPAST010.

Der volle Inhalt der Quelle

Annotation:

La pollution de l'air urbain, principalement causée par les émissions des véhicules, reste un problème crucial pour les grandes villes européennes qui s'efforcent de respecter les normes de qualité de l'air ambiant de l'Union européenne. Bien que des politiques environnementales plus strictes soient essentielles, leur mise en œuvre entraîne souvent des coûts économiques et sociaux importants. Par conséquent, des modèles et des simulations fiables sont indispensables pour évaluer l'efficacité de ces stratégies, garantissant qu'elles atteignent les réductions souhaitées des concentrations de pol

APA, Harvard, Vancouver, ISO und andere Zitierweisen

18

Wen, Tsung-Hsien. "Recurrent neural network language generation for dialogue systems." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/275648.

Der volle Inhalt der Quelle

Annotation:

Language is the principal medium for ideas, while dialogue is the most natural and effective way for humans to interact with and access information from machines. Natural language generation (NLG) is a critical component of spoken dialogue and it has a significant impact on usability and perceived quality. Many commonly used NLG systems employ rules and heuristics, which tend to generate inflexible and stylised responses without the natural variation of human language. However, the frequent repetition of identical output forms can quickly make dialogue become tedious for most real-world users.

APA, Harvard, Vancouver, ISO und andere Zitierweisen

19

Lucas, Thomas. "Modèles génératifs profonds : sur-généralisation et abandon de mode." Thesis, Université Grenoble Alpes, 2020. http://www.theses.fr/2020GRALM049.

Der volle Inhalt der Quelle

Annotation:

Cette dissertation explore le sujet des modèles génératifs appliqués aux images naturelles.Cette tâche consiste a modéliser la distribution des données observées, et peut permettre de générer des données artificielles semblables aux données d'origine, où de compresser des images.Les modèles à variable latentes, qui sont au cœur de cette thèse, cherchent a résumer les principaux facteurs de variation d'une image en une variable qui peut être manipulée.En particulier, nos contributions sont basées sur deux modèles génératifs a variable latentes: le modèle génératif adversarial (GAN) et l' encode

APA, Harvard, Vancouver, ISO und andere Zitierweisen

20

Rafael-Palou, Xavier. "Detection, quantification, malignancy prediction and growth forecasting of pulmonary nodules using deep learning in follow-up CT scans." Doctoral thesis, Universitat Pompeu Fabra, 2021. http://hdl.handle.net/10803/672964.

Der volle Inhalt der Quelle

Annotation:

Nowadays, lung cancer assessment is a complex and tedious task mainly per- formed by radiological visual inspection of suspicious pulmonary nodules, using computed tomography (CT) scan images taken to patients over time. Several computational tools relying on conventional artificial intelligence and computer vision algorithms have been proposed for supporting lung cancer de- tection and classification. These solutions mostly rely on the analysis of indi- vidual lung CT images of patients and on the use of hand-crafted image de- scriptors. Unfortunately, this makes them unable to cope

APA, Harvard, Vancouver, ISO und andere Zitierweisen

21

Risso, Davide. "Simultaneous inference for RNA-Seq data." Doctoral thesis, Università degli studi di Padova, 2012. http://hdl.handle.net/11577/3421731.

Der volle Inhalt der Quelle

Annotation:

In the last few years, RNA-Seq has become a popular choice for high-throughput studies of gene expression, revealing its potential to overcome microarrays and become the new standard for transcriptional profiling. At a gene-level, RNA-Seq yields counts rather than continuous measures of expression, leading to the need for novel methods to deal with count data in high-dimensional problems. In this Thesis, we aim at shedding light on the problems related to the exploration and modeling of RNA-Seq data. In particular, we introduce simple and effective ways to summarize and visualize the data; we

APA, Harvard, Vancouver, ISO und andere Zitierweisen

22

Loaiza, Ganem Gabriel. "Advances in Deep Generative Modeling With Applications to Image Generation and Neuroscience." Thesis, 2019. https://doi.org/10.7916/d8-yp88-e002.

Der volle Inhalt der Quelle

Annotation:

Deep generative modeling is an increasingly popular area of machine learning that takes advantage of recent developments in neural networks in order to estimate the distribution of observed data. In this dissertation we introduce three advances in this area. The first one, Maximum Entropy Flow Networks, allows to do maximum entropy modeling by combining normalizing flows with the augmented Lagrangian optimization method. The second one is the continuous Bernoulli, a new [0,1]-supported distribution which we introduce with the motivation of fixing the pervasive error in variational autoencoders

APA, Harvard, Vancouver, ISO und andere Zitierweisen

23

Yahi, Alexandre. "Simulating drug responses in laboratory test time series with deep generative modeling." Thesis, 2019. https://doi.org/10.7916/d8-arta-jt32.

Der volle Inhalt der Quelle

Annotation:

Drug effects can be unpredictable and vary widely among patients with environmental, genetic, and clinical factors. Randomized control trials (RCTs) are not sufficient to identify adverse drug reactions (ADRs), and the electronic health record (EHR) along with medical claims have become an important resource for pharmacovigilance. Among all the data collected in hospitals, laboratory tests represent the most documented and reliable data type in the EHR. Laboratory tests are at the core of the clinical decision process and are used for diagnosis, monitoring, screening, and research by physician

APA, Harvard, Vancouver, ISO und andere Zitierweisen

24

Abdal, Rameen. "Image Embedding into Generative Adversarial Networks." Thesis, 2020. http://hdl.handle.net/10754/662516.

Der volle Inhalt der Quelle

Annotation:

We propose an e cient algorithm to embed a given image into the latent space of StyleGAN. This embedding enables semantic image editing operations that can be applied to existing photographs. Taking the StyleGAN trained on the FFHQ dataset as an example, we show results for image morphing, style transfer, and expression transfer. Studying the results of the embedding algorithm provides valuable insights into the structure of the StyleGAN latent space. We propose a set of experiments to test what class of images can be embedded, how they are embedded, what latent space is suitable for em

APA, Harvard, Vancouver, ISO und andere Zitierweisen

25

Mehri, Soroush. "Sequential modeling, generative recurrent neural networks, and their applications to audio." Thèse, 2016. http://hdl.handle.net/1866/18762.

Der volle Inhalt der Quelle

APA, Harvard, Vancouver, ISO und andere Zitierweisen

26

Lamb, Alexander. "Generative models : a critical review." Thèse, 2018. http://hdl.handle.net/1866/21282.

Der volle Inhalt der Quelle

APA, Harvard, Vancouver, ISO und andere Zitierweisen

27

Parent-Lévesque, Jérôme. "Towards deep unsupervised inverse graphics." Thesis, 2020. http://hdl.handle.net/1866/25467.

Der volle Inhalt der Quelle

Annotation:

Un objectif de longue date dans le domaine de la vision par ordinateur est de déduire le contenu 3D d’une scène à partir d’une seule photo, une tâche connue sous le nom d’inverse graphics. L’apprentissage automatique a, dans les dernières années, permis à de nombreuses approches de faire de grands progrès vers la résolution de ce problème. Cependant, la plupart de ces approches requièrent des données de supervision 3D qui sont coûteuses et parfois impossible à obtenir, ce qui limite les capacités d’apprentissage de telles œuvres. Dans ce travail, nous explorons l’architecture des méthode

APA, Harvard, Vancouver, ISO und andere Zitierweisen

28

Mastropietro, Olivier. "Deep Learning for Video Modelling." Thèse, 2017. http://hdl.handle.net/1866/20192.

Der volle Inhalt der Quelle

APA, Harvard, Vancouver, ISO und andere Zitierweisen

29

Sylvain, Tristan. "Locality and compositionality in representation learning for complex visual tasks." Thesis, 2021. http://hdl.handle.net/1866/25594.

Der volle Inhalt der Quelle

Annotation:

L'utilisation d'architectures neuronales profondes associée à des innovations spécifiques telles que les méthodes adversarielles, l’entraînement préalable sur de grands ensembles de données et l'estimation de l'information mutuelle a permis, ces dernières années, de progresser rapidement dans de nombreuses tâches de vision par ordinateur complexes telles que la classification d'images de catégories préalablement inconnues (apprentissage zéro-coups), la génération de scènes ou la classification multimodale. Malgré ces progrès, il n’est pas certain que les méthodes actuelles d’apprentissage de r

APA, Harvard, Vancouver, ISO und andere Zitierweisen

30

Dumoulin, Vincent. "Representation Learning for Visual Data." Thèse, 2018. http://hdl.handle.net/1866/21140.

Der volle Inhalt der Quelle

APA, Harvard, Vancouver, ISO und andere Zitierweisen

31

Dinh, Laurent. "Reparametrization in deep learning." Thèse, 2018. http://hdl.handle.net/1866/21139.

Der volle Inhalt der Quelle

APA, Harvard, Vancouver, ISO und andere Zitierweisen

32

Ehrler, Matthew. "VConstruct: a computationally efficient method for reconstructing satellite derived Chlorophyll-a data." Thesis, 2021. http://hdl.handle.net/1828/13346.

Der volle Inhalt der Quelle

Annotation:

The annual phytoplankton bloom is an important marine event. Its annual variability can be easily recognized by ocean-color satellite sensors through the increase in surface Chlorophyll-a concentration, a key indicator to quantitatively characterize all phytoplankton groups. However, a common problem is that the satellites used to gather the data are obstructed by clouds and other artifacts. This means that time series data from satellites can suffer from spatial data loss. There are a number of algorithms that are able to reconstruct the missing parts of these images to varying d

APA, Harvard, Vancouver, ISO und andere Zitierweisen

33

Chung, Junyoung. "On Deep Multiscale Recurrent Neural Networks." Thèse, 2018. http://hdl.handle.net/1866/21588.

Der volle Inhalt der Quelle

APA, Harvard, Vancouver, ISO und andere Zitierweisen

34

Xu, Kelvin. "Exploring Attention Based Model for Captioning Images." Thèse, 2017. http://hdl.handle.net/1866/20194.

Der volle Inhalt der Quelle

APA, Harvard, Vancouver, ISO und andere Zitierweisen

Wir bieten Rabatte auf alle Premium-Pläne für Autoren, deren Werke in thematische Literatursammlungen aufgenommen wurden. Kontaktieren Sie uns, um einen einzigartigen Promo-Code zu erhalten!